49 results on '"hannan amoozad mahdiraji"'
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2. Developing sustainable competitive advantages from the lens of resource-based view: evidence from IT sector of an emerging economy
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Aliasghar Abbasi Kamardi, Hannan Amoozad Mahdiraji, Samira Masoumi, and Vahid Jafari-Sadeghi
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Marketing ,Strategy and Management - Published
- 2022
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3. The role of Industry 4.0 technologies on performance measurement systems of supply chains during global pandemics: an interval-valued intuitionistic hesitant fuzzy approach
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Hannan Amoozad Mahdiraji, Fatemeh Yaftiyan, Ali Asghar Abbasi Kamardi, Jose Arturo Garza-Reyes, and Seyed Hossein Razavi Hajiagha
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Strategy and Management ,General Business, Management and Accounting - Abstract
PurposeThis paper aims to investigate Supply Chain (SC) Performance Measurement Systems (PMSs) (SCPMSs) that are suitable and applicable to evaluate SC performance during unexpected events such as global pandemics. Furthermore, the contribution of Industry 4.0 Disruptive Technologies (IDTs) to implement SCPMSs during such Black Swan events is investigated in this study.Design/methodology/approachThe research methodology is based upon a novel qualitative and quantitative mixed-method. A Systematic Literature Review (SLR) was initially employed to identify two complete lists of SCPMSs and IDTs. Then, a novel Interval-Valued Intuitionistic Hesitant-Fuzzy (IVIHF)-Delphi method was firstly developed in this paper to screen the extracted SCPMSs. Afterward, the Propriety, Economic, Acceptable, Resource, Legal (PEARL) indicator of the Hanlon method was innovatively applied to prioritize the identified IDTs for each finalized SCPMS.FindingsTwo high-score SCPMSs including the SC operations reference (SCOR) model and sustainable SCPMS were recommended to improve measuring the performance of the pharmaceutical SC of emerging economies such as Iran in which the societal, biological and economic issues were undeniable, particularly during unexpected events. Employing nine IDTs such as simulation, big data analytics, cloud technologies, etc., would facilitate implementing sustainable SCPMS from distinct perspectives.Originality/valueThis is one of the first papers to provide in-depth insights into determining the priority of contribution of IDTs in applying different SCPMSs during global pandemics. Proposing a novel multi-layer mixed-methodology involving SLR, IVIHF-Delphi, and the PEARL indicator of the Hanlon method is another originality offered by this paper.
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- 2022
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4. Analysing supply chain coordination mechanisms dealing with repurposing challenges during Covid-19 pandemic in an emerging economy: a multi-layer decision making approach
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Hannan Amoozad Mahdiraji, Aliasghar Abbasi Kamardi, Moein Beheshti, Seyed Hossein Razavi Hajiagha, and Luis Rocha-Lona
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Management of Technology and Innovation ,Strategy and Management ,Management Science and Operations Research ,Industrial and Manufacturing Engineering - Published
- 2022
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5. Public Hospitals Performance Measurement through a Three-Staged Data Envelopment Analysis Approach: Evidence from an Emerging Economy
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Seyed Hossein Razavi Hajiagha, Hannan Amoozad Mahdiraji, Shide Sadat Hashemi, Jose Arturo Garza-Reyes, and Rohit Joshi
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Artificial Intelligence ,Software ,Information Systems - Published
- 2022
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6. Somebody is hiding something: Disentangling interpersonal level drivers and consequences of knowledge hiding in international entrepreneurial firms
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Hannan Amoozad Mahdiraji, Anna Claudia Pellicelli, Alain Devalle, and Vahid Jafari-Sadeghi
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Marketing ,Knowledge management ,business.industry ,Comparative analysis ,DEMATEL ,Context (language use) ,Interpersonal communication ,SWARA ,Multiple-criteria decision analysis ,Interpersonal level factors ,Conceptual framework ,Ranking ,Knowledge hiding ,Order (exchange) ,Sociology ,International entrepreneurs ,Emerging markets ,business ,Set (psychology) - Abstract
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. This research is set to address the scant research on the relationship between the key drivers and consequences of knowledge hiding within international entrepreneurial organisations at the interpersonal level. It further aims to compare knowledge hiding behaviour among international entrepreneurs in two diverse contexts of emerging countries versus advanced economies. Therefore, this research employs a total number of ten international entrepreneurs in Iran and Italy and takes advantage of the Multi-Criterion Decision-Making (MCDM) approach. In this regard, DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) method is applied to disentangle the cause-effect relationship between knowledge hiding components and present conceptual frameworks for the interrelationship of knowledge hiding factors in each context. Furthermore, in order to assess the importance and ranking of factors in Italy and Iran Weight Assessment Ratio Analysis (SWARA) is performed. As such, this research provides different contributions to the knowledge hiding literature as well as key implications for practitioners.
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- 2022
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7. Towards financing the entrepreneurial SMEs: exploring the innovation drivers of successful crowdfunding via a multi-layer decision-making approach
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Hannan Amoozad Mahdiraji, Seyed Hossein Razavi Hajiagha, Vahid Jafari-Sadeghi, Donatella Busso, and Alain Devalle
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Emerging economy ,Management of Technology and Innovation ,SMEs ,Crowdfunding ,Multi-layer decision-making approach - Abstract
PurposeIn this research, extracting the innovation drivers of successful crowdfunding from the literature review, screening them for the entrepreneurial small- and medium-sized enterprises (SMEs), analysing the cause-and-effect relationship amongst them and presenting a basic causal conceptual model and eventually determining the importance/weight of each relevant driver were the primary purposes of this research. As a result, the authors have also designed a score function to measure the future innovative crowdfunding score for SMEs.Design/methodology/approachA multi-layer multi-criteria decision-making (MCDM) approach has been designed and employed to achieve research objectives. After extracting the initial list of drivers, Fuzzy Delphi was applied to screen the relevant innovation drivers of successful crowdfunding for entrepreneurial SMEs. Decision-making trial and evaluation laboratory (DEMATEL) was used to analyse the cause-and-effect relationship amongst the drivers and illustrate a basic conceptual model. Analytical network process (ANP) and Stepwise Weight Assessment Ratio Analysis (SWARA) were applied to determine the importance of the drivers and by aggregating them to measure the innovative crowdfunding score.FindingsInitially, 28 innovation drivers of successful crowdfunding were extracted from the literature. Then by employing the first-round Delphi fuzzy method amongst 15 international entrepreneurs in SMEs, the relevant drivers, including eleven items, were screened and selected. Then by implementing the DEMATEL method, the relationship amongst these screened drivers was identified, and seven drivers were determined as causes and the rest as effects. Subsequently, a conceptual model based on the causal analysis of the drivers from the DEMATEL method was designed. Eventually, by aggregating the weight of drivers emanated from SWARA, DEMATEL and DANP, the score function for measuring the situation of an SME was designed.Practical implicationsAccording to the crowdfunding scores in this research from entrepreneurs of SMEs, influential factors in developing countries were recognised as two times more prominent in developing countries. This might be rooted in the circumstances of developing countries where many startups and SMEs are emerging in vast areas and different fields due to investment in innovation management. In these countries, the authorities and officials support these companies to empower their capabilities and innovative ideas to (1) deal with the severe competitive market and (2) benefit from them as potential economic engines. Therefore, crowdfunding platforms and public initiatives can be considered one of the most effective government supports, which may involve financial risks.Originality/valueTo the best knowledge of the authors, investigating the innovation drivers of successful crowdfunding via quantitative analysis by multi-layer decision-making approaches has not been considered previously. Moreover, the authors have designed a crowdfunding score function to determine the situation of an entrepreneurial SME in this area. A combination of different MCDM methods, including Fuzzy Delphi, SWARA, DEMATEL, ANP and DANP, to investigate the innovation drivers of successful crowdfunding in SMEs has not been considered previously.
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- 2023
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8. Cyber risk assessment in small and medium‐sized enterprises: A multilevel decision‐making approach for small e‐tailors
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Arun Sukumar, Hannan Amoozad Mahdiraji, and Vahid Jafari‐Sadeghi
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Physiology (medical) ,Safety, Risk, Reliability and Quality - Published
- 2023
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9. Measuring Staff Satisfaction in Transportation System using AHP Method under Uncertainty
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Mahmoud Lotfi, Abdullah Hisam Omar, Mahnaz Hosseinzadeh, Hannan Amoozad Mahdiraji, and Ezatollah Asgharizadeh
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Staff satisfaction ,Artificial Intelligence ,Control and Systems Engineering ,Analytic hierarchy process ,Operations management ,Business ,Software ,Information Systems - Abstract
One of the most important challenges in today world is the transportation and satisfaction of this system. Measuring satisfaction in transportation has been done quantitatively so far and, more importantly, the measurement process has not usually been scientific. This study aimed at an accurate scientific measurement. Because of ambiguity, this paper discusses how to use the intuitionistic fuzzy method, in which both membership and non-membership functions were expressed. Therefore, initially, considering the results of previous researches, as well as studying the references and standards, the characteristics and basic criteria, a researcher-made questionnaire with a reliability of 0.95 was first performed and then the weights were determined using the AHP intuitionistic fuzzy method. After performing the above steps, the intuitionistic fuzzy satisfaction value was calculated at different levels and using the method, the final number of satisfaction was defuzzified.
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- 2021
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10. What drives inter-organisational knowledge management? The cause and effect analysis using a multi-layer multi-criteria decision-making framework
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Hannan Amoozad Mahdiraji, Vahid Jafari-Sadeghi, Moein Beheshti, and Alexeis Garcia-Perez
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Knowledge management ,business.industry ,Strategy and Management ,Inter-organisational arrangements ,Competitive advantage ,Organizational knowledge ,Knowledge management, InGrey decision-making trial and evaluation laboratory (G-DEMATEL) ,Multi criteria decision ,DEMATEL-based analytic network process (DANP) ,Ranking ,Cause and effect analysis ,Management of Technology and Innovation ,Cultural diversity ,Key (cryptography) ,Business ,Multi layer ,Decision-making - Abstract
Purpose Knowledge management seeks collaborative practices among organisations to generate technical, adapt and share knowledge to obtain a sustainable competitive advantage in cross-border business activities. This paper aims to disentangle the crucial determinants of knowledge management in inter-organisational arrangements settings. Design/methodology/approach In the first stage, after an in-depth literature review, the main knowledge management drivers are identified. In the second stage, based on the identified drivers, the importance and relationship between the drivers are evaluated by expert opinions from academic and executive activists. Eventually, in the last stage, a multi-layer decision-making approach has been proposed and used to determine the relationship and the importance of the drivers. Findings The findings of this paper assess the ranking of the different elements from experts’ opinions and discuss important theoretical and managerial implications. The influential factors were identified through an extensive literature review, which combined with the views of experts from academia and industry (international firms). Furthermore, the ranking of factors based on the experts’ overall opinion was used to discuss theoretical and managerial contributions. Originality/value This research provides a better understanding of the interrelationships between the key drivers of knowledge management, which helps management draw more effective strategies to address the cultural differences between firms. Moreover, understanding of the importance of the systems and structures that define the nature of the collaboration in inter-organisational settings, as well as the risks related to those are presented in this research.
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- 2021
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11. Disentangling sustainability and resiliency factors in buyer-supplier relationships: A state-of-the-art review
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Hossein Maleki, Hashem Aghazadeh, Hannan Amoozad Mahdiraji, Demetris Vrontis, and Elaheh Mohammadi
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Marketing - Published
- 2023
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12. Differential game approach to pricing and advertising decisions
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Hannan Amoozad Mahdiraji, Manouchehr Ansari, Adel Hatami-Marbini, Ali Asghar Abbasi Kamardi, and Niloofar Mohammadi Moazed
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TheoryofComputation_MISCELLANEOUS ,Dynamic pricing ,Computer Science::Computer Science and Game Theory ,Applied Mathematics ,Advertising ,Time horizon ,Management Science and Operations Research ,Industrial and Manufacturing Engineering ,Shift costs ,Duopoly market ,Competition (economics) ,symbols.namesake ,Differential game ,Nash equilibrium ,Dynamic advertising ,symbols ,Economics ,Profitability index ,Set (psychology) ,Duopoly ,Software - Abstract
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. This study proposes a model to make concurrent decisions on dynamic pricing and advertising to maximise firms' profitability over an infinite time horizon in a duopoly market. To this end, the Nerlove-Arrow pricing and advertising model is designed in the presence of shifting costs in a dynamic duopolistic competition as a differential game. The Nash equilibrium solution is defined based upon a set of Hamilton–Jacobi–Bellman. Four scenarios are applied for economic interpretations and the efficacy of the model.
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- 2021
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13. Exploring and evaluating success factors of social media marketing strategy: a multi-dimensional-multi-criteria framework
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Mahnaz Hosseinzadeh, Hannan Amoozad Mahdiraji, and Mona Jami Pour
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Process (engineering) ,Best practice ,Field (Bourdieu) ,Interval best-worst method (BWM) ,Change management ,Social media marketing ,Focus group ,Social media marketing strategy ,Management of Technology and Innovation ,Paradigm shift ,Critical success factor ,Social media ,Business ,Success factors of social media marketing strategy ,Business and International Management ,Marketing - Abstract
Purpose Today, social media is counted as an integral part of marketing strategies, which has led to a paradigm change in this field. As reported, social media marketing has been growing over the recent five years and is predicted to be exponentially growing in the future. However, despite the huge promise and intention to adopt social media marketing strategies by organisations, there remain challenges regarding the successful implementation of these new marketing programmes. Accordingly, marketing managers’ awareness of the success factors of social media marketing is essential to return investment in this area. Due to the little research been accomplished in this field, this paper aims to identify the success factors of social networks’ marketing and to rank the factors by using of interval best-worst method (BWM). Design/methodology/approach To serve the research aims, an extant literature review is accomplished and a focus group approach is conducted to identify the main success factors and sub-factors. To analyse the focus group discussions, a qualitative content analysis approach is applied. Interval BWM is used to calculate the weights of each identified factor. Findings In the final framework, six main success criteria, including strategy, process, technology, content, performance evaluation and people are identified, for each sub-criteria are developed. The interval BWM results suggest the content criterion as the most important success factor in developing a social media marketing strategy. Research limitations/implications First, this research provides a comprehensive insight into the success factors and best practices of social media marketing. This is the first to draw on the critical factors affecting the success of social media marketing, considering people in the organisation such as top management, employees and customers, strategy, process and performance evaluation focussing on the change management requirements for applying social media marketing and technology as the technical factor of the adoption process, simultaneously. Identifying critical success factors of social media marketing will help marketing managers to avoid falling into the trap of developing social media strategies based on less important areas and ignoring the critical ones. Besides, owing to the limited resources of organisations in implementing social media marketing strategies, prioritising and weighing the success factors will lead to a focus on more important areas. Originality/value Whilst the related studies have mostly concentrated on the capabilities and activities required to conduct social media marketing and the few research investigated the critical success factors most concentrated on the customer and the content-related factors, the finding of this research goes beyond that and suggests technical, process and human aspects simultaneously in the implementation process in a holistic view.
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- 2021
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14. Unveiling the relation between the challenges and benefits of operational excellence and industry 4.0: a hybrid fuzzy decision-making approach
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Hannan Amoozad Mahdiraji, Samin Moradi, Seyed Hossein Razavi Hajiagha, Saeed Alaei, and Jose Arturo Garza-Reyes
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Strategy and Management ,General Decision Sciences ,Business and International Management ,General Business, Management and Accounting - Abstract
PurposeOperational excellence (OpEx) is a direction toward learning and developing an excellent culture in all aspects of an organization. To reach this culture, revolutionizing activities using industry 4.0 (i4.0) technologies might be a significant empowering tool. This study aims to identify the challenges and benefits of both concepts and investigate their interrelationship to be considered in applying industry 4.0 technologies toward operational excellence.Design/methodology/approachThe challenges and benefits of OpEx and i4.0 are identified and finalized by reviewing the literature. The causal relations between the considered factors are extracted using the fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method. Then, the analytical network process (ANP) is applied to determine the importance and weight of the factors (challenges and benefits of OpEx and i4.0) according to the constructed network.FindingsThe findings illustrated a strong network structure between the factors. First, the causal factors included OpEx and i4.0 challenges, while the OpEx challenges also affected the i4.0 challenges. Both group challenges had a significant effect on OpEx and i4.0 benefits. This means that challenges are the causal factors to be considered in the alignment of i4.0 toward OpEx. Among the OpEx challenges, lack of strategic planning and proper infrastructure were the main influential factors. In contrast, lack of government support and undeveloped business models were identified as the main challenges of i4.0.Originality/valueOpEx and i4.0 concepts are reviewed and their pros and cons are studied. Previous studies determined an interaction among these concepts. However, from a practical viewpoint, the relation between the challenges and benefits of i4.0 and OpEx was studied for the first time for their alignment.
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- 2022
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15. Towards De-internationalisation of Entrepreneurial SMEs: Exploring Internal and External Factors
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Vahid Jafari Sadeghi, Hannan Amoozad Mahdiraji, Demetris Vrontis, and Leo Dana
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General Medicine - Published
- 2022
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16. The influence of organisational capabilities on international entrepreneurship performance
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Nima Garousi Mokhtarzadeh, Ismail Jafarpanah, and Hannan Amoozad Mahdiraji
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- 2022
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17. A multi-attribute data mining model for rule extraction and service operations benchmarking
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Madjid Tavana, Pouya Mahdiyani, Hannan Amoozad Mahdiraji, and Ali Asghar Abbasi Kamardi
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Service system ,Computer science ,Strategy and Management ,05 social sciences ,02 engineering and technology ,Benchmarking ,computer.software_genre ,0502 economics and business ,0202 electrical engineering, electronic engineering, information engineering ,050211 marketing ,020201 artificial intelligence & image processing ,Extraction (military) ,Data mining ,Business and International Management ,computer - Abstract
PurposeCustomer differences and similarities play a crucial role in service operations, and service industries need to develop various strategies for different customer types. This study aims to understand the behavioral pattern of customers in the banking industry by proposing a hybrid data mining approach with rule extraction and service operation benchmarking.Design/methodology/approachThe authors analyze customer data to identify the best customers using a modified recency, frequency and monetary (RFM) model and K-means clustering. The number of clusters is determined with a two-step K-means quality analysis based on the Silhouette, Davies–Bouldin and Calinski–Harabasz indices and the evaluation based on distance from average solution (EDAS). The best–worst method (BWM) and the total area based on orthogonal vectors (TAOV) are used next to sort the clusters. Finally, the associative rules and the Apriori algorithm are used to derive the customers' behavior patterns.FindingsAs a result of implementing the proposed approach in the financial service industry, customers were segmented and ranked into six clusters by analyzing 20,000 records. Furthermore, frequent customer financial behavior patterns were recognized based on demographic characteristics and financial transactions of customers. Thus, customer types were classified as highly loyal, loyal, high-interacting, low-interacting and missing customers. Eventually, appropriate strategies for interacting with each customer type were proposed.Originality/valueThe authors propose a novel hybrid multi-attribute data mining approach for rule extraction and the service operations benchmarking approach by combining data mining tools with a multilayer decision-making approach. The proposed hybrid approach has been implemented in a large-scale problem in the financial services industry.
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- 2021
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18. Classification of inter-organizational knowledge mechanisms and their effects on networking capability: a multi-layer decision making approach
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Stefano Bresciani, Nima Garousi Mokhtarzadeh, Hannan Amoozad Mahdiraji, Ismail Jafarpanah, and Vahid Jafari-Sadeghi
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Data collection ,Knowledge management ,Computer science ,business.industry ,Strategy and Management ,05 social sciences ,Context (language use) ,Classification ,Focus group ,Multi-layer decision-making ,Competition (economics) ,Inter-organizational knowledge mechanisms ,Networking capability ,Inter organizational ,Management of Technology and Innovation ,0502 economics and business ,Selection (linguistics) ,050211 marketing ,N100 ,business ,Multi layer ,050203 business & management - Abstract
Purpose The role of inter-organizational knowledge mechanisms (IOKMs) in learning networks is increasing so that the competition of business networks in providing innovations is highly dependent on the effective selection and application of these mechanisms. This study aims to argue that recognizing the classification of IOKMs and understanding their impact on networking capability (NC) makes the selection of mechanisms more effective. Design/methodology/approach With a systematic review of literature, a comprehensive list of IOKMs, their main characteristics and NCs have been extracted. The authors have used a focus group for data gathering and a hybrid multi-layer decision-making approach for data analysis. Finally, the impact of IOKMs on NC was determined. Findings By implementing a multi-layer decision-making approach, four categories of IOKMs including person-to-person, co-creation, team-oriented and informational are illustrated and their effects of NC are determined. Therefore, the findings of this research provide latecomer firms (LCFs) managers with a clear framework for selecting IOKMs. Originality/value The literature review shows that the number of knowledge mechanisms, especially their inter-organizational types, is increasing. It has made it difficult for LCFs managers to select effective and efficient mechanisms. Most of these mechanisms are listed, and few studies have classified them. Besides, research shows that fewer studies have investigated how IOKMs relate to NC. Furthermore, most studies on IOKMs have been conducted in the context of leading firms and LCFs have been neglected.
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- 2021
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19. EXAMINING THE INFLUENCE OF ENVIRONMENTAL TURBULENCE ON FIRM INNOVATION PERFORMANCE IN EMERGING MARKETS: USING AN ENVIRONMENT-STRATEGY-PERFORMANCE FRAMEWORK
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NIMA GAROUSI MOKHTARZADEH, HANNAN AMOOZAD MAHDIRAJI, ISMAIL JAFARPANAH, and DONGMEI CAO
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Management of Technology and Innovation ,Strategy and Management ,Business and International Management - Abstract
Evidence suggests that turbulent environment exposure is a significant driving force for business innovation. The automotive industry is strongly influenced by environmental dynamics due to continuous technological changes. Car OEMs require an accurate landscape of industrial uncertainties. The purpose of this study is to investigate the role of business environmental turbulence (BET) in innovation performance. Applied to the environment-strategy-performance framework and underpinned by the dynamic capability view (DCV) and contingency theory, our research model concerns both the antecedent and moderation roles of BET in innovation performance. A sample of 306 questionnaire data is collected from the management of Iranian automotive firms, and PLS-SEM is used for the analysis. The results suggest that BET improves innovation performance through enhancing networking capability (NC) and collaborative innovation capability (CIC). Besides, BET positively moderates the relationship between NC and innovation performance. This study contributes to understanding business innovation in a turbulent environment setting. Our findings offer important implications for managers to set strategies, particularly in a dynamic environment.
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- 2022
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20. Analysing the voice of customers by a hybrid fuzzy decision-making approach in a developing country's automotive market
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Hannan Amoozad Mahdiraji, Khalid Hafeez, Hamidreza Kord, and Ali Asghar Abbasi Kamardi
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Service (business) ,021103 operations research ,Operations research ,business.industry ,Computer science ,Business process ,media_common.quotation_subject ,0211 other engineering and technologies ,Automotive industry ,Context (language use) ,02 engineering and technology ,Management Science and Operations Research ,Multiple-criteria decision analysis ,General Business, Management and Accounting ,Fuzzy logic ,Product (business) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Quality (business) ,business ,media_common - Abstract
PurposeThis paper analyses the voice of customers (VoCs) using a hybrid clustering multi-criteria decision-making (MCDM) approach. The proposed method serves as an efficient tool for how to approach multiple decision-making involving a large set of countrywide customer complaints in the Iranian automotive sector.Design/methodology/approachThe countrywide data comprising 3,342 customer complaints (VoCs) were gathered. A total of seven determinant complaint criteria were identified in brainstorming sessions with three groups (six each) of experts employing the fuzzy Delphi method. The weights of these criteria were assigned by applying the fuzzy best–worst method (FBWM) to identify the severity of the complaints. Subsequently, the complaints were clustered into five categories with respective customer locations (province), car type and manufacturer using the K-mean method and further prioritised and ranked employing the fuzzy complex proportional assessment of alternatives (FCOPRAS) method.FindingsThe results indicated that the majority of complaints (1,027) from the various regions of the country belonged to one specific model of car made by a particular producer. The analyses revealed that only a few complaints were related to product quality, with the majority related to service and financial processes including delays in automobile delivery, delays in calculating monthly instalments, price variation, failure to provide a registration ( licence) and failure to supply the agreed product. The proposed method is an efficient way to solve large-scale multidimensional problems and provide a robust and reliable set of results.Practical implicationsThe proposed method makes it much easier for management to deal with complaints by significantly reducing their number. The highest-ranked complaints from customers of the car industry in Iran are those related to delivery time, price alternations, customer service support and quality issues. Surveying the list of complaints shows that paying attention to the four most voiced complaints can reduce them more than 54%. Management can make appropriate strategies to improve the production quality as well as business processes, thus producing a significant number of customer complaints.Originality/valueThis paper proposes a comprehensive approach to critically analyse the VoCs by combining qualitative and decision-making approaches including K-mean, FCOPRAS, fuzzy Delphi and FBWM. This is the first paper that analyses the VoCs in the automotive sector in a developing country’s context involving large-scale decision-making problem-solving.
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- 2020
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21. A product-technology portfolio alignment approach for food industry: a multi-criteria decision making with z-numbers
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Hannan Amoozad Mahdiraji, Nima Garousi Mokhtarzadeh, Ali Asghar Abbasi Kamardi, Vahid Jafari-Sadeghi, and Arash Soltani
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Food industry ,Computer science ,business.industry ,05 social sciences ,Final product ,Product-technology alignment ,02 engineering and technology ,Product and technology portfolio ,Manufacturing engineering ,Matrix (mathematics) ,Technology planning ,0502 economics and business ,0202 electrical engineering, electronic engineering, information engineering ,Business, Management and Accounting (miscellaneous) ,Production (economics) ,Portfolio ,020201 artificial intelligence & image processing ,Product (category theory) ,ZBWM ,business ,Implementation ,050203 business & management ,Reciprocal ,Food Science - Abstract
PurposeTo design a novel hybrid approach to illustrate a reciprocal alignment to integrate future products and technologies. This mixed qualitative-quantitative method aims to optimize the final product portfolio and production technologies alignment in the food industry.Design/methodology/approachA list of products and technologies is extracted and evaluated by experts employing Market Attractiveness and Ease of Implementations Matrix (MA-EI) for products and attractiveness and technological Capability Matrix (A-C) for technologies. Weights of high-scored alternatives are attained applying the Z-number extension of Best Worst Method (ZBWM). After the product-technology matrix is formed and the alignment scores of each pair are determined by experts. Subsequently, final scores are computed, and a framework is proposed by electing high-ranked products and technology of each cluster to form the aligned product and technology portfolios of a food and hygiene industry company.FindingsBy employing an uncertain multicriteria decision-making approach besides product and technology matrices in a food industry corporation, among 40 technology and product, 13 products by 6 technologies are proposed. Thus, only six technology are necessary to manufacture the highly important and effective products.Originality/valueThe combination of product and technology analysis matrixes with an uncertain decision-making approach is considered as a novel approach in this research. Moreover, the distinctness between the present study and other researches is the concurrent unified aspect of product portfolio and technology optimization and its implementation in the planning discussion, especially in the food industry.
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- 2020
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22. Business process transformation in financial market: A hybrid BPM‐ELECTRE TRI for redesigning a securities company in the Iranian stock market
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Khalid Hafeez, Hannan Amoozad Mahdiraji, and Seyyed Hossein Razavi Hajiagha
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Business process ,Management of Technology and Innovation ,Strategy and Management ,Financial market ,Stock market ,Business ,ELECTRE ,Industrial organization ,Transformation (music) - Abstract
The author's final peer reviewed version can be found by following the URI link. The Publisher's final version can be found by following the DOI link. Purpose Business Process Management is a systematic way to design, implement and manage business critical processes at different organizational levels to ensure business sustainability. In this paper, we conduct a business process re‐engineering exercise for KBK Securities Co., a small size security company operating in Iranian stock and mercantile market. The company suffered from in‐efficiencies and poor and delayed decision‐making due to poor visibility and complexity with business critical processes. Design We employed a semi‐quantitative approach using ELECTRE TRI decision‐making method to identify the business critical processes. Through document analysis, we identified 103 financial and stock market processes to streamlining purposes. We use Multi‐Attribute Utility Theory (MAUT) and ELECTRE TRI methods for first, arriving to a consensus for the imprecise information elicited from a group of departmental managers, and second making a decision‐making to determine the 32 business critical processes out of 103, and third clustering these processes for business process re‐engineering. We make significant contribution in theory by employing a multi criterion decision‐making (MCDM) in the financial sector in the context of a developing economy like Iran. Originality We provide a structured framework along with an off the shelf software tool for practitioners to implement this approach to rationalize the number of processes and subsequently to improve the business critical processes to enhance financial performance in the stock market. Findings Our findings suggest that company can cut down approximately 68% waste by reducing its business critical processes and spend their available time and resources in growing the business.
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- 2020
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23. Analyzing the key performance indicators of circular supply chains by hybrid fuzzy cognitive mapping and Fuzzy DEMATEL: evidence from healthcare sector
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Asana Hosseini Dolatabad, Hannan Amoozad Mahdiraji, Ali Zamani Babgohari, Jose Arturo Garza-Reyes, and Ahad Ai
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Economics and Econometrics ,Geography, Planning and Development ,Management, Monitoring, Policy and Law - Abstract
This study presents a multi-layer fuzzy-based decision-making approach to enhance the hospital Circular Supply Chain (CSC) performance by focusing on intensive care units (ICU) via key performance indicators analysis. In this regard, a Systematic Literature Review (SLR) and Institution Fuzzy Delphi (IFD) are employed to extract the relevant and prominent KPIs. After, a hybrid Fuzzy Cognitive Mapping (FCM) and Fuzzy Decision Making Trial and Evaluation Laboratory (FDEMATEL) have been applied to illustrate a conceptual framework for the CSC performance management of the healthcare sector in the emerging economy of Iran. As a result, eight critical indicators emanated from the SLR-IFD approach. Furthermore, sixteen relationships amongst the performance indicators were identified via hybrid FCM-FDEMATEL. Inventory availability, information availability, innovation, and technology were selected as the most influential indicators. Besides, changing the information technology category, including information availability and Innovation and technology, had the most impact on the performance of the entire CSC. This study attempts to evaluate hospitals’ circular supply chain performance, by designing the circular evaluation framework. Hospital managers can use the results of this research to improve their internal circular supply chain performances in the intensive care units by understanding the different scenarios.
- Published
- 2022
24. A Game-Theoretic Framework for Analyzing the Impact of Social Responsibility and Supply Chain Profitability
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Hannan Amoozad Mahdiraji, Madjid Tavana, and Ali Rezayar
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Artificial Intelligence ,Software ,Information Systems - Abstract
Supply chain collaboration plays an important role in profit maximization. Contract coordination is a successful strategy for collaboration and profit-sharing in supply chains. The study of contract coordination in supply chains under uncertainty and stochastic environmental conditions has attracted the attention of many researchers. We propose a single-period newsvendor model with one manufacturer and one retailer in the supply chains. The proposed model considers two variables, including order quantity and investment in corporate social responsibility, where the demand is stochastic and follows a normal standard distribution. The model considers quantity flexibility, advanced purchasing discounts (APDs), and buyback contracts under cooperative conditions. Numerical examples are used to exhibit the applicability of the model under various conditions, including the two-demand distribution and three coordination contracts. We demonstrate an ideal scenario where the APD contracting results in the most overall supply chain profit and increases for each supply chain partner.
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- 2022
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25. International strategic alliances for collaborative product Innovation: An agent-based scenario analysis in biopharmaceutical industry
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Danial Esmaelnezhad, Mohammadreza Taghizadeh-Yazdi, Hannan Amoozad Mahdiraji, and Demetris Vrontis
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Marketing - Published
- 2023
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26. Unveiling coordination contracts’ roles considering circular economy and eco-innovation toward pharmaceutical supply chain resiliency: Evidence of an emerging economy
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Hannan Amoozad Mahdiraji, Kannan Govindan, Fatemeh Yaftiyan, Jose Arturo Garza-Reyes, and Seyed Hossein Razavi Hajiagha
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Renewable Energy, Sustainability and the Environment ,Strategy and Management ,Building and Construction ,Industrial and Manufacturing Engineering ,General Environmental Science - Published
- 2023
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27. Investigating potential interventions on disruptive impacts of Industry 4.0 technologies in circular supply chains: Evidence from SMEs of an emerging economy
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Hannan Amoozad Mahdiraji, Fatemeh Yaftiyan, Aliasghar Abbasi-Kamardi, and Jose Arturo Garza-Reyes
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General Computer Science ,General Engineering - Published
- 2022
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28. Dynamic prioritization of equipment and critical failure modes
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Mohamadreza Mahmoudi, Ahmad Jafarnejad, Hossein Safari, and Hannan Amoozad Mahdiraji
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Mathematical optimization ,Computer science ,business.industry ,05 social sciences ,Rank (computer programming) ,Sample (statistics) ,02 engineering and technology ,Theoretical Computer Science ,Operator (computer programming) ,Software ,Ranking ,Control and Systems Engineering ,0502 economics and business ,0202 electrical engineering, electronic engineering, information engineering ,Computer Science (miscellaneous) ,020201 artificial intelligence & image processing ,MATLAB ,business ,Engineering (miscellaneous) ,computer ,Failure mode and effects analysis ,050203 business & management ,Social Sciences (miscellaneous) ,Reliability (statistics) ,computer.programming_language - Abstract
PurposeThe purpose of this paper is to identify critical equipment by dynamically ranking them in interval-valued intuitionistic fuzzy (IVIF) circumstances. Accordingly, the main drawbacks of the conventional failure mode and effects analysis (FMEA) are eliminated. To this end, the authors have presented the interval-valued intuitionistic fuzzy condition-based dynamic weighing method (IVIF-CBDW).Design/methodology/approachTo realize the objective, the authors used the IVIF power weight Heronian aggregation operator to integrate the data extracted from the experts’ opinions. Moreover, the multi-attributive border approximation area comparison (MABAC) method is applied to rank the choices and the IVIF-CBDW method to create dynamic weights appropriate to the conditions of each equipment/failure mode. The authors proposed a robust FMEA model where the main drawbacks of the conventional risk prioritization number were eliminated.FindingsTo prove its applicability, this model was used in a case study to rank the equipment of a HL5000 crane barge. Finally, the results are compared with the traditional FMEA methods. It is indicated that the proposed model is much more flexible and provides more rational results.Originality/valueIn this paper, the authors have improved and used the IVIF power weight Heronian aggregation operator to integrate information. Furthermore, to dynamically weigh each equipment (failure mode), they presented the IVIF-CBDW method to determine the weight of each equipment (failure mode) based on its equipment conditions in the O, S and D criteria and provide the basis for the calculation. IVIF-CBDW method is presented in this study for the first time. Moreover, the MABAC method has been performed, to rank the equipment and failure mode. To analyze the information, the authors encoded the model presented in the robust MATLAB software and used it in a real sample of the HL5000 crane barge. Finally, to evaluate the reliability of the model presented in the risk ranking and its rationality, this model was compared with the conventional FMEA, fuzzy TOPSIS method, the method of Liu and the modified method of Liu.
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- 2019
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29. Marketing strategies evaluation based on big data analysis: a CLUSTERING-MCDM approach
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Ali Asghar Abbasi Kamardi, Aliakbar Kazeminia, Edmundas Kazimieras Zavadskas, and Hannan Amoozad Mahdiraji
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Economics and Econometrics ,business.industry ,Computer science ,Big data ,data mining ,bwm ,lcsh:Regional economics. Space in economics ,Multiple-criteria decision analysis ,Data science ,lcsh:HD72-88 ,lcsh:HT388 ,lcsh:Economic growth, development, planning ,Information and Communications Technology ,rfm ,Data mining ,clustering ,BWM ,COPRAS ,RFM ,business ,Cluster analysis ,copras - Abstract
open access article Nowadays, a huge amount of data is generated due to rapid Information and Communication Technology development. In this paper, a digital banking strategy has been suggested applying these big data for Iranian banking industry. This strategy would guide Iranian banks to analyse and distinguish customers’ needs to offer services proportionate to their manner. In this research, the balances of more than 2,600,000 accounts over 400 weeks are computed in a bank. These accounts are clustered based on justified RFM parameters containing maximum balances, the most number of maximum balances and the last week number with the maximum balance using k-means method. Subsequently, the clusters are prioritised employing Best Worst Method- COmplex PRoportional ASsessment methods considering the diverse inner value of each cluster. The accounts are classified into six clusters. The experts named the clusters as special, loyal, silver- high interaction, silverlow interaction, bronze, averted- low interaction. silver-low interaction cluster and loyal cluster are picked in order by experts and BWM-COPRAS as the most influential clusters and the digital banking strategy is developed for them. RFM parameters are modelled for customers’ accounts singly. The aggregation of the separate accounts of a customer should be considered.
- Published
- 2019
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30. Towards agility in international high-tech SMEs: Exploring key drivers and main outcomes of dynamic capabilities
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Dorra Yahiaoui, Vahid Jafari-Sadeghi, Hannan Amoozad Mahdiraji, and Donatella Busso
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Dynamic capabilities ,Knowledge management ,business.industry ,Process (engineering) ,Entrepreneurial internationalisation ,Multiple-criteria decision analysis ,High tech ,High-tech SMEs ,G-DEMATEL ,Conceptual framework ,Ranking ,Management of Technology and Innovation ,Key (cryptography) ,Agility ,DANP ,Business ,Business and International Management ,Applied Psychology ,Agile software development - Abstract
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. In the era of digitalisation, agility is considered a crucial factor for the successful operations of small and medium businesses in the intricate international markets. That is, this research aims to explore and evaluate the drivers that foster agility in international high-tech small and medium-sized enterprises (SMEs). In this regard, building on dynamic capabilities, a total of nine capabilities have been identified that assist high-tech SMEs to become agile in their cross-border activities. Taking advantage of an expert-based method, we relied on Multi-Criteria Decision-Making (MCDM) approach to synthesise the opinion of six Italian international entrepreneurs (experts). In doing so, Grey DEcision-MAking Trial and Evaluation Laboratory (G-DEMATEL) method has been employed to investigate the cause-effect relationship between capabilities and propose conceptual frameworks for agility in international high-tech SMEs. This is followed by the DEMATEL based Analytical Network Process (DANP) to assess the importance and ranking of explored factors. Consequently, the research proposes several theoretical and practical contributions.
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- 2022
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31. The role of human resource management in the growth of startups: a multiple case study from the perspective of entrepreneurs and employees
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Vahid Jafari Sadeghi, Mina Saneie Jirandeh, Hannan Amoozad Mahdiraji, and Hasan Boudlaie
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Economics and Econometrics ,Renewable Energy, Sustainability and the Environment ,N600 ,N100 ,Business and International Management - Abstract
The purpose of the present study is to investigate the role of human resource management (HRM) in the growth of startups. Accordingly, the missions and practices of HRM in startups are identified from the perspective of entrepreneurs and employees. A multiple case study approach is used by focusing on two startups in Iran. Moreover, the data are collected by interviewing one entrepreneur and four employees in each company. Besides, qualitative data are analysed using thematic analysis. Results demonstrated the various types of HRM missions and practices in startups and reflect different perspectives of entrepreneurs and employees of human resources management in these companies. Finally, the results illustrated that HRM can play an important role in the growth of these companies. Although research in the field of startups has increased in recent years, the role of HRM in the growth of these companies has rarely been addressed. The present research helps to expand literature related to the role of HRM in the growth of startups by considering the different perspectives of startups' entrepreneurs and employees.
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- 2022
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32. A novel common set of weights method for multi-period efficiency measurement using mean-variance criteria
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Madjid Tavana, Seyed Hossein Razavi Hajiagha, Hannan Amoozad Mahdiraji, and Shide Sadat Hashemi
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Flexibility (engineering) ,Mathematical optimization ,021103 operations research ,Computer science ,Applied Mathematics ,Fuzzy set ,0211 other engineering and technologies ,02 engineering and technology ,Condensed Matter Physics ,Fuzzy logic ,Power (physics) ,Set (abstract data type) ,Efficiency ,Fractional programming ,0202 electrical engineering, electronic engineering, information engineering ,Data envelopment analysis ,020201 artificial intelligence & image processing ,Electrical and Electronic Engineering ,Instrumentation - Abstract
Data envelopment analysis (DEA) is a popular method for evaluating a set of homogeneous decision-making units (DMUs). One of the main shortcomings of DEA is the weights flexibility where each unit can take its desirable weights. Several methods have been developed for finding a common set of weights (CSWs) and overcoming this drawback. The CSWs methods are used to evaluate the relative efficiency of the DMUs in a single time-period. However, single period DEA models cannot handle organizational units performing in a continuum of time. We propose a novel method for determining the CSWs in a multi-period DEA. Initially, the CSWs problem is formulated as a multi-objective fractional programming problem. Subsequently, a multi-period form of the problem is formulated and the mean efficiency of the DMUs is maximized while their efficiency variances is minimized. A fuzzy set-based approach is used to solve the multi-period CSWs problem. We present a real-world case study to demonstrate applicability and exhibit the efficacy of the proposed method. The results indicate a significant improvement in the discrimination power of the proposed multi-period method.
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- 2018
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33. TOTAL AREA BASED ON ORTHOGONAL VECTORS (TAOV) AS A NOVEL METHOD OF MULTI-CRITERIA DECISION AID
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Shide Sadat Hashemi, Hannan Amoozad Mahdiraji, and Seyed Hossein Razavi Hajiagha
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Mathematical optimization ,HF5001-6182 ,principal component analysis ,Computer science ,0211 other engineering and technologies ,Initialization ,Economic growth, development, planning ,02 engineering and technology ,decision making ,Set (abstract data type) ,Orthogonality ,orthogonality ,Pareto-optimal ,0202 electrical engineering, electronic engineering, information engineering ,Feature (machine learning) ,Business ,021103 operations research ,TAOV ,Decision problem ,Multiple-criteria decision analysis ,multi-criteria decision aid ,Principal component analysis ,HD72-88 ,020201 artificial intelligence & image processing ,Orthogonalization ,Finance - Abstract
open access article Multi criteria decision aid (MCDA) deals with the problem of evaluating a set of finite alternatives regard to a set of finite criteria. A remarkable volume of qualitative and quantitative researches are done on decision making methods and situations, indicating its important role for managers at different organizational levels. These types of problems are applied in many different fields of human life. A challenging feature of these problems is non-existence of an optimal solution due to considering multiple criteria and the proposed methods seeking to find a satisfactory solution called efficient of Pareto-optimal. In consideration of MCDA problem, in this paper a new method is proposed for solving DM problems, consisting three fundamental steps of initialization, orthogonalization, and comparison. Thus, a new MCDA method called total area based on orthogonal vectors (TAOV) is introduced. This method is constructed on orthogonality of decision criteria. Application of TAOV method is illustrated in a decision problem and its performance is evaluated regard to other MCDA methods. Furthermore, its features are explained around the features of a desirable MCDA method. The obtained results indicate that the TAOV method can be considered as an acceptable method of handling multi-criteria decision making problems.
- Published
- 2018
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34. A novel time, cost, quality and risk tradeoff model with a knowledge-based hesitant fuzzy information: An R&D project application
- Author
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Hannan Amoozad Mahdiraji, Vahid Jafari-Sadeghi, Jose Arturo Garza-Reyes, Maryam Sedigh, Leo Paul Dana, and Seyed Hossein Razavi Hajiagha
- Subjects
Linear programming ,Operations research ,Computer science ,business.industry ,media_common.quotation_subject ,Fuzzy logic ,Profit (economics) ,Scheduling (computing) ,Term (time) ,Project planning ,Management of Technology and Innovation ,Quality (business) ,Business and International Management ,Project management ,business ,Applied Psychology ,media_common - Abstract
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. This paper proposes a novel approach for identifying the best implementation situation for each activity in a project by optimizing and balancing time, cost, quality, and risk criteria under uncertain circumstances. A hesitant fuzzy linguistic term set (HFLTS) approach is proposed to determine the status of project activities in the presence of quality and risk criteria alongside time and cost. Afterwards, a multi-objective linear programming (MOLP) model is formulated for time, cost, quality, and risk trade-off (TCQRT). To validate the model, a research and development project in the food industry is investigated. The results indicate that the project's time compared to the deterministic approach was reduced by 20%. Completing the R&D project earlier than other competitors brings a higher profit for the company than trade-off expenses, even without considering the quality and risk trade-off benefits of the proposed approach. Considering uncertainty in the risk and quality of activities in a project via HFLTSs and optimizing all four elements of time, cost, quality, and risk simultaneously are the main values of this research. The proposed approach can be employed by managers to adopt and optimize project planning and scheduling while optimizing the trade-offs among TCQR factors in uncertain circumstances.
- Published
- 2021
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35. Multi-objective multi-product sustainable newsvendor management in an emerging economy: Evidence and applications
- Author
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Saeed Alaei, Hannan Amoozad Mahdiraji, and Seyed Hossein Razavi Hajiagha
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Mathematical optimization ,Computer science ,020209 energy ,Strategy and Management ,Supply chain ,Newsvendor Problem ,02 engineering and technology ,Newsvendor model ,Sub-gradient Optimization ,Multi-objective optimization ,Industrial and Manufacturing Engineering ,Procurement ,Genetic algorithm ,0202 electrical engineering, electronic engineering, information engineering ,Multi-objective Optimization ,0505 law ,General Environmental Science ,Renewable Energy, Sustainability and the Environment ,Inventory ,05 social sciences ,Stochastic game ,Building and Construction ,Lagrange relaxation ,Sustainability ,Simulated annealing ,050501 criminology - Abstract
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. The idea of a sustainable newsvendor problem has been considered by some researchers recently; nonetheless, an inclusive multi-objective model including all sustainability pillars with a multi-product supply chain has not been designed yet. In this paper, the newsvendor model is developed considering all sustainability criteria to study a two-stage procurement system. The classic newsvendor model of optimizing supplier-retailer payoff is considered in this research to illustrate the economic perspective of sustainability. Moreover, other objectives are formulated to model the social and environmental pillars of sustainability. These objectives minimize the environmental effects of the standard newsvendor problem regarding the malicious environmental effects of unrecyclable unsold products. To solve the formulated model a compromise programming approach is hybridized with Lagrange relaxation and sub-gradient optimization for the proposed model. For more clarification, a real-world case study from the Fast-moving consumer goods (FMCG) industry with real data has been employed alongside sensitivity analysis. Moreover, to evaluate the efficiency of the proposed solving approach, the Genetic Algorithm (GA) and Simulated Annealing (SA) algorithm were also designed and their parameters were tuned using the Taguchi method. Comparing the obtained results with the classical newsvendor model, the single economic objective loses at least 0.76% and at most 14.1% of its achievements by a trade-off with sustainable criteria. Furthermore, results indicated that both in terms of optimality and solution time, the proposed method has an extraordinary performance compared to GA and SA.
- Published
- 2021
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36. A robust multi-objective optimization model for inventory and production management with environmental and social consideration: A real case of dairy industry
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Ahmad Jafarnejad Chaghooshi, Aliyeh Kazemi, Hannan Amoozad Mahdiraji, Fahimeh Shafiee, and Zeinab Sazvar
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Computer science ,Total cost ,020209 energy ,Strategy and Management ,Supply chain ,robust optimization ,02 engineering and technology ,Multi-objective optimization ,Industrial and Manufacturing Engineering ,Production manager ,Economic cost ,0202 electrical engineering, electronic engineering, information engineering ,heuristic algorithm ,Production (economics) ,supply chain ,0505 law ,General Environmental Science ,dairy products ,Renewable Energy, Sustainability and the Environment ,05 social sciences ,Holding cost ,Robust optimization ,Building and Construction ,Environmental economics ,Sustainable ,050501 criminology - Abstract
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Every day, an abundance of perishable materials and products are transferred from suppliers to producers, as well as from producers to retailers. In the meantime, operating costs, transportation costs, and environmental impacts enhance due to the limited lifespan of dairy products, time constraints, limited inventory to hold, and high frequency of transportation. This paper is about designing a three-level sustainable dairy supply chain under uncertain conditions. In this study, a multi-objective model is proposed to minimize the total costs and environmental impacts, and maximize the social impacts of a multi-period and multi-product chain composed of suppliers, producers, and retailers, which is applied to a dairy company. The delivery time and the first-in, first-out (FIFO) policy of the products are of particular importance in the proposed model. Moreover, a robust optimization approach is applied to consider the uncertainty associated with demand, transportation costs, production costs, holding costs, and facilities' capacity. To solve the proposed model, a hybrid method based on a heuristic algorithm, and the augmented ε-constraint method is developed. Based on the results, economic costs and environmental impacts decreased by 18.5% and 25%, respectively. The conclusions indicate the efficiency and applicability of the proposed model and also show that the developed algorithm can attain high-quality solutions in a reasonable time.
- Published
- 2021
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37. Fuzzy C-means based data envelopment analysis for mitigating the impact of units’ heterogeneity
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Hannan Amoozad Mahdiraji, Shide Sadat Hashemi, and Seyed Hossein Razavi Hajiagha
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Mathematical optimization ,021103 operations research ,Fuzzy clustering ,Computer science ,0211 other engineering and technologies ,02 engineering and technology ,computer.software_genre ,Fuzzy logic ,Theoretical Computer Science ,Set (abstract data type) ,Efficiency ,Control and Systems Engineering ,Homogeneous ,0202 electrical engineering, electronic engineering, information engineering ,Computer Science (miscellaneous) ,Data envelopment analysis ,020201 artificial intelligence & image processing ,Data mining ,Engineering (miscellaneous) ,computer ,Social Sciences (miscellaneous) - Abstract
Purpose– Data envelopment analysis (DEA) is a non-parametric model that is developed for evaluating the relative efficiency of a set of homogeneous decision-making units that each unit transforms multiple inputs into multiple outputs. However, usually the decision-making units are not completely similar. The purpose of this paper is to propose an algorithm for DEA applications when considered DMUs are non-homogeneous.Design/methodology/approach– To reach this aim, an algorithm is designed to mitigate the impact of heterogeneity on efficiency evaluation. Using fuzzy C-means algorithm, a fuzzy clustering is obtained for DMUs based on their inputs and outputs. Then, the fuzzy C-means based DEA approach is used for finding the efficiency of DMUs in different clusters. Finally, the different efficiencies of each DMU are aggregated based on the membership values of DMUs in clusters.Findings– Heterogeneity causes some positive impact on some DMUs while it has negative impact on other ones. The proposed method mitigates this undesirable impact and a different distribution of efficiency score is obtained that neglects this unintended impacts.Research limitations/implications– The proposed method can be applied in DEA applications with a large number of DMUs in different situations, where some of them enjoyed the good environmental conditions, while others suffered from bad conditions. Therefore, a better assessment of real performance can be obtained.Originality/value– The paper proposed a hybrid algorithm combination of fuzzy C-means clustering method with classic DEA models for the first time.
- Published
- 2016
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38. Multicriteria group decision making with ELECTRE III method based on interval-valued intuitionistic fuzzy information
- Author
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Shide Sadat Hashemi, Edmundas Kazimieras Zavadskas, Seyed Hossein Razavi Hajiagha, and Hannan Amoozad Mahdiraji
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Multicriteria decision ,Mathematical optimization ,Mathematics::General Mathematics ,020209 energy ,Applied Mathematics ,Project selection ,Fuzzy set ,Intuitionistic fuzzy ,02 engineering and technology ,Interval valued ,Group decision-making ,Modeling and Simulation ,0202 electrical engineering, electronic engineering, information engineering ,ELECTRE ,Mathematics - Abstract
A great number of real world problems can be associated with multicriteria decision making. These problems are often characterized by a high degree of uncertainty. Interval-valued intuitionistic fuzzy sets are a generalized form of an ordinal fuzzy set to deal with this natural uncertainty. In this paper, an enhanced version of the ELECTRE method, called ELECTRE III, is extended under the interval-valued intuitionistic fuzzy environment. The advantages and strengths of ELECTRE III as a decision aid technique and interval-valued intuitionistic fuzzy sets as an uncertain framework make the proposed method a suitable choice in solving practical problems. The application of the proposed method is illustrated by the solution of an investment project selection problem.
- Published
- 2016
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39. An analysis of the impact of negative CSR ‘forced labour’ parameter on the profitability of supply chain contracts
- Author
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Ahmad Jafarnejad, Khalid Hafeez, Hannan Amoozad Mahdiraji, and Ali Rezayar
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Nash and Stackelberg equilibrium ,Game theoretic ,Renewable Energy, Sustainability and the Environment ,020209 energy ,Strategy and Management ,Supply chain ,05 social sciences ,02 engineering and technology ,Industrial and Manufacturing Engineering ,Profit (economics) ,Microeconomics ,050501 criminology ,0202 electrical engineering, electronic engineering, information engineering ,Economics ,Stackelberg competition ,Supply chain coordination ,Corporate social responsibility ,Profitability index ,Performance indicator ,Game theory ,0505 law ,General Environmental Science - Abstract
The author's final peer reviewed version can be found by following the URI link. The Publisher's final version can be found by following the DOI link. This paper provides a mathematical model to analyse the impact of a negative corporate social responsibility (CSR) parameter that for ‘forced labour’, on supply chain profitability based on coordination contracts. Four types of supply chain coordination contract are developed and benchmarked against set performance indices employing sensitivity analysis and non-linear optimization techniques. Nash ‘static’ and Stackelberg ‘dynamic’ models are employed to represent the ‘gameplay’ between the ‘manufacturer’ and ‘retailer’ in a supply chain. The key inputs are average demand and ‘forced labour’ ratios, whereas key performance indicators are advertising, inventory and pricing costs. Our results indicate that by reducing the proportion of ‘forced labour’ for both members of the supply chain, the overall profitability increases in a Nash static gaming context. However, the contractual relationships in a Stackelberg dynamic situation provide a different picture. Here, if the ‘retailer’ assumes the leadership role, cost-sharing contracts increase the profitability for both partners. However, if the ‘manufacturer’ assumes the leader, the profit-sharing contract leads to the highest overall profit. Furthermore, sensitivity analysis confirms that an ideal situation is one in which the ‘forced labour’ ratio approaches ‘zero’, where the profitability of the retailer is usually higher than that of the manufacturer. Previous researchers have used ‘survey-based’ methods to develop proportional or ‘mediating’ relationships to measure the impact of CSR on supply chain profitability. This paper addresses the associated gap by providing a game theoretic-based non-linear mathematical model to assess the direct impact of negative CSR on supply chain profitability and benchmarks the performance of different supply chain contracts.
- Published
- 2020
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40. Robust Multi-Objective Sustainable Reverse Supply Chain Planning: An Application in the Steel Industry
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Ahmad Jafarnejad, Jurgita Antucheviciene, Hannan Amoozad Mahdiraji, Amir Kargar, and Seyyed Hossein Razavi Hajiagha
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Physics and Astronomy (miscellaneous) ,Operations research ,multi-objective planning ,Computer science ,General Mathematics ,Supply chain ,0211 other engineering and technologies ,robust optimization ,02 engineering and technology ,Reverse logistics ,Profit (economics) ,meta-heuristic algorithm ,steel making industry ,reverse supply chain ,0202 electrical engineering, electronic engineering, information engineering ,Computer Science (miscellaneous) ,Reverse supply chain ,uncertainty ,021103 operations research ,lcsh:Mathematics ,Robust optimization ,lcsh:QA1-939 ,Chemistry (miscellaneous) ,Service level ,020201 artificial intelligence & image processing - Abstract
In the design of the supply chain, the use of the returned products and their recycling in the production and consumption network is called reverse logistics. The proposed model aims to optimize the flow of materials in the supply chain network (SCN), and determine the amount and location of facilities and the planning of transportation in conditions of demand uncertainty. Thus, maximizing the total profit of operation, minimizing adverse environmental effects, and maximizing customer and supplier service levels have been considered as the main objectives. Accordingly, finding symmetry (balance) among the profit of operation, the environmental effects and customer and supplier service levels is considered in this research. To deal with the uncertainty of the model, scenario-based robust planning is employed alongside a meta-heuristic algorithm (NSGA-II) to solve the model with actual data from a case study of the steel industry in Iran. The results obtained from the model, solving and validating, compared with actual data indicated that the model could optimize the objectives seamlessly and determine the amount and location of the necessary facilities for the steel industry more appropriately., This article belongs to the Special Issue Uncertain Multi-Criteria Optimization Problems
- Published
- 2020
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41. Multi-period data envelopment analysis based on Chebyshev inequality bounds
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Hannan Amoozad Mahdiraji, Seyed Hossein Razavi Hajiagha, Shide Sadat Hashemi, and Jamshid Azaddel
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Mathematical optimization ,Basis (linear algebra) ,General Engineering ,Interval (mathematics) ,Variance (accounting) ,Computer Science Applications ,Set (abstract data type) ,Efficiency ,Artificial Intelligence ,Chebyshev's inequality ,Econometrics ,Data envelopment analysis ,Time point ,Mathematics - Abstract
Proposing an algorithm for appraising relative efficiency of DMUs over several time periods.Providing an interval efficiency approximation of DMUs by considering inputs and outputs inexactness.Considering the variance of inputs and outputs in efficiency appraisal. Data envelopment analysis is a cross-sectional approach to evaluate the relative efficiency of a set of homogeneous units in a single time point; nonetheless, organizational units have been performing continuously over a period of time; hence, their performances are considered within this period. Cumulating inputs and outputs over the time periods provide an unnecessary compensating impact, making the efficiency appraisal unrealistic. To avoid this negative impact of data accumulation, a two-stage approach on the basis of Chebyshev inequality bounds is proposed to find interval efficiency of decision making units (henceforth DMUs). The proposed method is applied in a real case encompassing 115 bank branches over 6 periods of time. This application indicated the significant cautious approach of the proposed method in multi-period data envelopment analysis (hereafter DEA).
- Published
- 2015
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42. Multi‐objective linear programming with interval coefficients
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Hannan Amoozad Mahdiraji, Seyed Hossein Razavi Hajiagha, and Shide Sadat Hashemi
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Mathematical optimization ,Current (mathematics) ,Linear programming ,Pareto principle ,Interval coefficients ,Interval (mathematics) ,Maximization ,Fuzzy logic ,Theoretical Computer Science ,Linear-fractional programming ,Control and Systems Engineering ,Computer Science (miscellaneous) ,Engineering (miscellaneous) ,Social Sciences (miscellaneous) ,Mathematics - Abstract
PurposeThe purpose of this paper is to extend a methodology for solving multi‐objective linear programming (MOLP) problems, when the objective functions and constraints coefficients are stated as interval numbers.Design/methodology/approachThe approach proposed in this paper for the considered problem is based on the maximization of the sum of membership degrees which are defined for each objective of multi objective problem. These membership degrees are constructed based on the deviation from optimal solutions of individual objectives. Then, the final model based on membership degrees is itself an interval linear programming which can be solved by current methods.FindingsThe efficiency of the solutions obtained by the proposed method is proved. It is shown that the obtained solution by the proposed method for an interval multi objective problem is Pareto optimal.Research limitations/implicationsThe proposed method can be used in modeling and analyzing of uncertain systems which are modeled in the context of multi objective problems and in which required information is ill defined.Originality/valueThe paper proposed a novel and well‐defined algorithm to solve the considered problem.
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- 2013
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43. Supply chain quality management
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Reza Ghaffari, Meysam Arabzadeh, and Hannan Amoozad Mahdiraji
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Supply chain risk management ,Quality management ,Supply chain management ,Total quality management ,Process management ,Performance improvement ,lcsh:HF5735-5746 ,Supply chain ,media_common.quotation_subject ,lcsh:Business records management ,General Business, Management and Accounting ,Demand chain ,Customer satisfaction ,Quality (business) ,Business ,media_common - Abstract
Article history: Received April 25, 2012 Accepted 21 July 2012 Available online July 24 2012 In recent years, there are several methods introduced for the improvement of operational performances. Total quality management and supply chain management are two methods recommended for this purpose. These two approaches have been studied in most researches separately, while they have objectives in common, and this makes them a strategic means, which can be used, simultaneously. Total quality management and supply chain management play significant roles to increase the organizational competitiveness power. Moreover, they have only one purpose that is customer satisfaction, and they are different only on their approaches to reach their objectives. In this research, we aim to study both approaches of quality management and supply chain, their positive increasing effects that may be generated after their integration. For this purpose, the concept and definitions of each approach is studied, independently, their similarities and differences are recognized, and finally, the advantages of their integration are introduced. © 2012 Growing Science Ltd. All rights reserved.
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- 2012
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44. A Hybrid Fuzzy BWM-COPRAS Method for Analyzing Key Factors of Sustainable Architecture
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Gintaras Stauskis, Edmundas Kazimieras Zavadskas, Sepas Arzaghi, and Hannan Amoozad Mahdiraji
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Process management ,sustainable development ,sustainable architecture ,best-worst method (BWM) ,complex proportional assessment method (COPRAS) ,grey system ,fuzzy sets ,Computer science ,Geography, Planning and Development ,Fuzzy set ,02 engineering and technology ,010501 environmental sciences ,Management, Monitoring, Policy and Law ,01 natural sciences ,0202 electrical engineering, electronic engineering, information engineering ,Sustainable design ,Fuzzy number ,Architecture ,Built environment ,0105 earth and related environmental sciences ,Sustainable development ,Renewable Energy, Sustainability and the Environment ,Building and Construction ,Sustainability ,Key (cryptography) ,020201 artificial intelligence & image processing - Abstract
open access article Sustainable development by emphasizing on satisfying the current needs of the general public without threating their futures, alongside with taking the environment and future generations under consideration, has become one of the prominent issues in different societies. Therefore, identifying and prioritizing the key factors of sustainable architecture according to regional and cultural features could be the first step in sustaining the architecture as a process and an outcome. In this paper, the key indicators of the environmental sustainability in contemporary architecture of Iran has been identified and prioritized. This study has been performed in three phases. First, identifying key factors of environmental sustainability according to the experts’ point of view and transforming the collected data to triangular fuzzy numbers. Subsequently, the best-worst multi-criteria decision-making method (henceforth BWM) under grey system circumstances has determined the weights and priority of the identified criteria. Eventually, identified key factors were prioritized by the complex proportional assessment method (hereafter COPRAS) under the condition of fuzzy sets. The results indicate that the key factors of creating engagement between buildings and other urban systems has the highest priority in the built environment sustainability in contemporary architecture and proving building management systems has the lowest.
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- 2018
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45. Strategy portfolio optimisation: A copras g-modm hybrid approach
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Beheshti, Moein, Hannan Amoozad Mahdiraji, and Zavadskas, Edmundas Kazimieras
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Designing organisational strategies in various businesses is a commonly employed practice; nevertheless, nowadays the strategy portfolio optimisation is one of the major controversial issues. This research proposes an inclusive model to evaluate and select organisational strategies based on the boundaries of its resources. In order to achieve such a model, first of all, a grey COPRAS model is applied to evaluate organisational strategies under uncertain circumstances. Subsequently, on the basis of the aforementioned method, a mixed integer multi-objective linear programming model is depicted to optimise the strategy selection process according to COPRAS-G strategy significance results and with regard to time, cost and other structural constraints as well as organisational policies. Ultimately, a mixed COPRAS G-MODM is transformed to a binary goal programming model and the suggested approach is employed in Iran Mercantile Exchange for strategy portfolio optimisation.
46. Maximizing and minimizing sets in solving fuzzy linear programming
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Seyed Hossein Razavi Hajiagha, Hannan Amoozad Mahdiraji, Edmundas Kazemieras Zavadskas, and Shide Sadat Hashemi
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Minimization set ,Fuzzy linear programming ,Fuzzy numbers ,Maximization set - Abstract
Linear programming with fuzzy information is a continuous field of researches in uncertain programming. Since the lack of a certain and deterministic solution is a natural characteristic of problems under uncertainty, different methods proposed various schemes to solve such problems. In this paper, a new framework is developed to solve fuzzy linear programming where the problem’s parameters, include objective function coefficients, technological matrix elements and right hand side values, are stated as fuzzy numbers. The proposed method is based on the notion of maximizing and minimizing sets, as a well known and widely accepted method of fuzzy numbers ranking, and tries to find a solution which optimizes the utility function of fuzzy objective functions by considering fuzzy constraints which are analyzed based on the concept of α-cuts and interval numbers relations. To show the applicability of the proposed method, its application is illustrated in a numerical example and its results are compared with a current method.
47. A Comparison of Buyback, Rebate and Flexible Contracts in a Seller-Buyer Supply Chain
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Hannan Amoozad Mahdiraji, Shateri, Hamidreza, Beheshti, Moein, and Mokhtarzadeh, Nima Garoosi
48. GAME THEORETIC APPROACH FOR COORDINATING UNLIMITED MULTI ECHELON SUPPLY CHAINS
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Hannan Amoozad Mahdiraji, Edmundas Kazimieras Zavadskas, and Seyed Hossein Razavi Hajiagha
49. A product-technology portfolio alignment approach for food industry
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Nima Garousi Mokhtarzadeh, Hannan Amoozad Mahdiraji, Vahid Jafari-Sadeghi, Arash Soltani, and AliAsghar Abbasi Kamardi
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