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Purpose – The study aims to determine the impact of sustainable manufacturing on environmental performance through government regulation and eco-innovation in Indonesian small and medium-sized enterprises (SMEs). Findings – The results indicate sustainable manufacturing plays a significant role in SMEs' environmental performance and regulations, and eco-innovation can moderate it. It also reveals that government regulation has a positive and significant effect on environmental performance. Moreover, eco-innovation has a positive and significant effect on environmental performance. Practical implications – The findings of this study indicate that SMEs can embrace sustainable manufacturing practices and achieve their long-term sustainability goals by adhering to regulations, collaborating with stakeholders and implementing eco-friendly innovations. Originality/value – This research uncovers ground-breaking perspectives on the evolution of scientific knowledge about the impact of eco-innovation, regulatory measures and sustainable manufacturing practices on the environmental performance of SMEs.

An increasing number of industries are embracing sustainable business models in response to heightened competition, environmental pressures, and evolving customer expectations. One prominent business model involves integrating Product-Service Systems (PSS). Despite the potential for PSS to be regarded as a sustainable business model, there is a notable limitation of robust assessments to measure its performance. Conventional Life Cycle Assessment (LCA), the predominant method used for evaluation, inadequately captures the dynamic complexities inherent in PSS systems. This study proposes a dynamic PSS-LCA advancement by integrating system dynamics to assess environmental and economic performance over time. Complexity Through establishing robust functional units and simulating system behaviors, this framework addresses the limitations of traditional LCA methodologies. The framework was applied to a DSLR camera service case study, which shows that although PSS can reduce emissions compared to the traditional sales model, its success depends on managing user behavior and service quality. This study underscores the importance of dynamic assessment tools to accurately evaluate the sustainability of PSS implementation.

This study conducted a comprehensive bibliometric analysis to uncover emerging trends, preference patterns in supplier selection, and the important factors considered in the process. This study integrates three interrelated approaches, namely bibliometric analysis, literature review, and expert interviews. This study demonstrates the significant contribution of combining bibliometric analysis and literature review in the development of supplier selection methods. Two primary approaches are commonly employed: Multi-Criteria Decision Making (MCDM) and Optimization. MCDM methods, such as AHP, SWARA, and TOPSIS, are frequently utilized to measure relative preferences and select the most suitable supplier. On the other hand, the optimization approach employs linear programming methods to achieve optimal solutions in supplier selection. The hybridization of methods, particularly the combination of AHP and Linear Programming, is the most commonly employed approach to achieve more effective supplier selection outcomes aligned with the food industry's needs. Furthermore, this study discusses the significance of identifying and developing relevant supplier criteria in the food industry. Notably, environmental criteria emerge as prominent qualitative criteria, while quality and sustainability stand out as primary quantitative criteria.

Circular Supply Chain Management (CSCM) is gaining prominence among diverse stakeholders, practitioners, and scholars. However, its adoption remains limited, particularly within Small and Medium Enterprises (SMEs). This study employs Interpretative Structural Modeling (ISM), specifically tailored for SMEs, to elucidate the contextual relationships among CSCM indicators. Furthermore, it employs the Matrice d’Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) analysis to categorize these indicators into driving- dependence power quadrants. Thirteen CSCM indicators are identified and classified into three sustainability dimensions: economic, environmental, and social. The ISM model comprises four levels, with employees’ exposure to hazardous materials at level one, followed by ten indicators at level two, one at level three (reuse, remanufacturing, recycling complexity), and one at level four (eco-material). MICMAC analysis reveals that none of the indicators falls into the autonomous quadrant. Employees’ exposure to hazardous materials is categorized in the dependent indicators’ quadrant, while ten indicators belong to the linkage quadrant. The independent quadrant includes two indicators: eco-material and reuse, remanufacturing, and recycling complexity. SMEs can utilize these CSCM indicators as an initial step toward circularity implementation. The recommended implementation sequence follows the ISM model hierarchy, starting with level four indicators and progressing through levels three, two, and one, acknowledging the influence of higher-level indicators on lower-level ones.

Order picking is referred as a critical process of selecting items requested by a customer in a warehouse. Meeting the demand of every customer is the main objective in this area. Large warehouses pose a challenge since the order-picking process is slowed considerably by the lengthy time it takes to transport items across the warehouse. Throughout the study, the system is hoped to develop proper procedures in the order-picking process. In handling this scenario, the decision-makers need to take any possible action to ensure the warehouses can keep operating and meeting the requirements and satisfaction of the customers. Due to this, the study’s main objective is to determine whether the Floyd–Warshall algorithm or the dynamic programming method will give the most accurate shortest path and minimum travel distance for order pickers. Two data sets (nine nodes and nineteen nodes) are used to determine the optimal path and minimum travel distance for the order picker to meet and satisfy customer orders for the warehouse. The two models were modified and applied to address real-world case studies from the automotive manufacturing company in Malaysia. The results show a big difference between the total distance by 113.48% for 19 nodes. Through this finding, the company may choose which method suits their preferences. Concurrently, this study may also contribute to problem-solving issues in any warehouse operation with a similar procedure.

Background: This research endeavors to enhance supplier selection processes by combining the Analytic Network Process (ANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies, with a specific focus on sustainability criteria. Method: Initially comprising 21 sub-criteria derived from prior research, the selection criteria are refined to 17, eliminating redundant elements. The core principle guiding this refinement is the comprehensive coverage of economic, social, and environmental dimensions, essential for sustainable supplier evaluation. Results: The study’s outcomes underscore the paramount importance of economic criteria (0.0652) in supplier selection, followed by environmental (0.0343) and social dimensions (0.0503). Key sub-criteria contributing significantly to this evaluation encompassed consistent product quality, competitive raw material pricing, proficient labor capabilities, recycling potential, punctual delivery performance, and effective waste management practices. Conclusions: These sub-criteria are thoughtfully integrated into the sustainable assessment framework, aligning seamlessly with the economic, environmental, and social criteria.

Purpose – This study aimed to develop the integration of the multiperiod production-distribution model in a closed-loop supply chain involving carbon emission and traceability. The developed model was for agricultural food (agri-food) products, considering the reverse flow of food waste from the disposal center (composting center) to producers. Findings – The results indicate that integrating the production and distribution model considering food waste recycling provides low carbon emissions in lower total costs. The sensitivity analysis also found that there are trade-offs between production and distribution rate and food waste levels on carbon emission and traceability. Research limitations/implications – This study focuses on the mathematical modeling of a multiperiod production-distribution formulation for a closed-loop supply chain. Originality/value – The model of the agri-food closed-loop supply chain in this study that considers food recycling and carbon emissions would help stakeholders involved in the agri-food supply chain to reduce food waste and carbon emissions.

In recent years, cryptocurrency has increased in popularity in Indonesia. In Indonesia, based on data from the Ministry of Trade (Kemendag), until the end of May 2021, the number of investors in cryptocurrency assets or crypto money was 6.5 million people. This number has increased by more than 50 percent when compared to 2020 when there were 4 million people. The Pintu application is the first crypto mobile application in Indonesia that is committed to solving crypto investment problems, especially for beginners and ordinary people. Even though it provides benefits, investing in cryptocurrency can provide high profits. In an instant, it can also make a profit. The motion, which is like a roller coaster, requires strong mental readiness to invest in cryptocurrencies. This should also be a critical consideration for investors, especially young investors. Therefore, it is necessary to understand what factors contribute to building stronger attitudes and behavioral intentions toward the PINTU application. This research analyzes the data using the use of technology 2 method with the partial least square (PLS) analysis technique method, which will later be processed in the form of data results in the form of responses of the user when using the application. Facilitating conditions and social influence are the most influential indicators. The results of the study show that behavioral intention to adopt has a relationship with behavioral intention to recommend, and behavioral intention to adopt positively and significantly influences the intention to recommend.

The Quick Response (QR) code payment is a relatively new means of payment in Indonesia. Even though this strategy offers a great deal of use, not many people are familiar with it or use it. In this regard, it is fascinating to look at what makes people use the QR Code payment method. The quantitative study used a five-point Likert scale questionnaire to sample e-money users through social media groups. In addition, structural Equation Modeling (SEM), employee Smart-PLS 3.0, was used to examine the data. The results show that social factors affect how people feel about QR code payments, and facilitating support and performance expectations affect how likely they are to use it. Also, attitudes, a mediator of social impact, can change the effect of support performance expectations on adoption intentions. Because of this, people accepting QR code-based payments take a positive attitude. Also, the facilities and environment affected a positive attitude, expected performance, ease of operation, and social interactions. Based on the results, the recommendation for financial institutions and innovation is that the facility and social environment are critical to the success of financial innovation. So, if more people want to use QR code-based payments, financial institutions need to make it easy for them. AcknowledgmentThe author would like to thank the Rector, Vice-Rector of the University of Muhammadiyah Malang. Furthermore, the author sincerely thanks the University of Muhammadiyah Malang’s Dean of Business and Economics Faculty. A University of Muhammadiyah Malang’s School of Economics and Business member supported finishing this paper.

Korean cosmetics have become a favorite product in the Indonesian market. Therefore, it is essential to understand what stimulates Indonesian consumers to buy Korean beauty products. This study aims to examine the structural model of the determinants of purchasing behavior for cosmetic products made in Korea, applying a quantitative design. Data were collected using a questionnaire targeting a random sample of respondents (n = 250) who are social media followers of cosmetic products made in Korea. The collected data were then analyzed using a partial least square approach using Smart-PLS 4.0 software. The results indicate that consumer attitude significantly influences consumer behavior. Moreover, the findings imply that a positive attitude can build consumer behavior (make consumers proud and idolize a particular product). Furthermore, the positive image of the place of origin and the quality of the product can influence consumer attitude. Management practice can alter how individuals view a product by using brand ambassadors and the rich culture of the place the product comes from.

AbstractSupplier selection plays a crucial role in enhancing the competitiveness and operational efficiency of manufacturing industries. In the Indonesian manufacturing sector, where market conditions are dynamic and complex, the need for an effective supplier selection methodology is particularly critical. The suggested method converts conventional DEA (Data Envelopment Analysis) models into fuzzy events through the application of credibility measures. Additionally, the relative closeness (RC) index is employed to enhance the differentiating capability of traditional DEA. This article incorporates three input criteria and five output criteria. The findings suggest that higher values of the RC Index correspond to superior performance by the supplier. Furthermore, the study’s outcomes reveal that the credibility index influences the RC index. Imposing stricter credibility constraints can diminish the value of the RC index.

AbstractIn the context of the halal supply chain, the need for flexibility of halal suppliers is increasing along with changes in regulations, policies, markets, and technology that change dynamically. Therefore, more systematic and dynamic modeling of flexibility criteria for halal suppliers is needed to improve the quality of halal supply chain management as a whole. The purpose of this study is to identify the criteria for halal suppliers by considering flexibility in the context of a halal supply chain. In this study, modeling the criteria for the flexibility of halal suppliers is carried out using the Interpretive Structural Modeling—Matriced’ Impacts Croisés Appliquée á un Classement (ISM-MICMAC) hybrid approach and a dynamic perspective. This study resulted in 11 criteria for halal suppliers which were divided into four levels in the ISM hierarchical structure. The criteria were spread over three quadrants of the MICMAC analysis, namely independent, linkage, and dependent. The results of the ISM and MICMAC approaches are then represented in a causal loop diagram which consists of an amplifying loop and a closed loop. The reinforcing circle consists of the criteria of responsibility-service-security-trust, while the balancing circle consists of traceability and costs. Even though the flexibility criterion is not in between the two loops, the criterion still influences other halal supplier criteria. This shows that flexibility criteria have important relationships and influences in the context of halal supply chain management.

PT X is a company that works in the plantation sector, one of which is an orange plantation. In the process of harvesting lime leaves, there are 3 workstations and 4 work activities. Most of the work is done manually with a high workload and repetitive movements, causing musculoskeletal complaints. Workers complain of musculoskeletal disorders while working. During initial observation, there were complaints of pain in the neck, shoulders, arms, waist, thighs, and knees. Based on these problems, this study aims to analyze the factors that cause musculoskeletal disorders in the orange harvesting process. The method used to solve problems with partners is by using an ergonomic checklist and the PATH method to analyze three physical risk factors in the workplace. Based on the results of data processing using the PATH method, it was found that the biggest risk factors for injury were 45.53% soil hoeing, 42.39% harvesting and 12.08% grass cutting. The proposed improvements given after being analyzed using ergonomic checkpoints are: (1) reducing bending or squatting postures; and (2) providing protectors and covers for lawn mowers and handcarts and handles for tools for harvesting oranges. This proposed improvement is in accordance with Sustainable Development Goals number 3, namely Good Health and Wellbeing for all.

Background: The primary objective of this study was to examine the advancements in sustainable supplier selection through multi-criteria decision making (MCDM) from the years 2013 to 2022. In the recent past, researchers have carried out a significant amount of research in this field over the course of several years; Methods: a total of 121 scientific publications sourced from the Scopus database were chosen for analysis, employing the bibliometric method and graphical visualization of the VOS viewer application to visually analyze and map research networks and collaboration patterns, aiding in the evaluation of scientific impact and knowledge dissemination; Results: the findings of this study indicate that the research trend in sustainable supplier selection through MCDM witnessed its most significant growth in the year 2019. Researchers predominantly disseminated their scientific findings through articles, accounting for 81% of the publications, followed by conference papers at 14%, and book chapters at 2.5%; Conclusions: the primary area of focus in these studies pertains to decision-making processes involved in sustainable supplier selection. The implications and theoretical contributions derived from this research, coupled with the latest advancements, serve as a foundation for further exploration and development of sustainable supplier selection research through MCDM.

This article investigates the role of green supply chain management practices on environmental performance in Indonesian small and medium enterprises (SMEs). A quantitative method is used to examine a particular population or sample, and research instruments with partial least squares - structural equation modeling (PLS-SEM) are applied in this study. The respondents of this study are 89 Indonesian small and medium business managers and owners. The results indicate that internal factors such as strategic orientation and internal environment management are not driving SMEs to consider green supply chain management. Meanwhile, external factor as government regulation plays a significant role in adopting green supply chain management. Moreover, it reveals that adopting green supply chain management would affect SME’s environmental performance. The findings also prove that internal factors did not affect environmental performance through green supply chain management. On the other hand, green supply chain management adoption could mediate government regulation on improving SMEs’ environmental performance.

This article investigates the acceptance model of the technology of tuberculosis integrated information system (TIIS) adopted and its effects on the actual use in the Indonesian healthcare facility. Some factors such as the perceived usefulness and ease of use are investigated to understand their relationship with the system’s actual use. Quantitative research has been done in this study using a structural equation model (SEM) and partial least square. This study shows that respondents’ perceived usefulness and the ease of use of TIIS positively affect the adopted system’s actual use. The evaluation of the influence of perceived usefulness and perceived ease of use and external variables such as subjective, image, job relevance, and facilitating condition on the intention to use using TIIS to support the implementation of the program of prevention of infectious diseases in a developing country such as Indonesia would help the government to treat the tuberculosis disease better.

This research aimed to determine the effect of supply chain challenges and supply chain performance in nonprofit organization performance and the supply chain integration and management commitment in supply chain performance. One hundred questionnaires were distributed to top-level, middle-level, and lower-level managers of Afghanistan non-profit organizations. Out of 100 questionnaires distributed, 55 questionnaires were filled and returned a 55% response rate. This study adopted a quantitative method using the SmartPLS application. This study found that integrating supply chain indicators such as sharing information, planning, controlling and coordinating materials, and commitment of all three management levels positively affects supply chain performance. Moreover, this study found that challenges such as government regulation, customer pressure, and supply chains performance indicators such as supply chain delivery flexibility, customer responsiveness time, and inventory cost significantly affect non-profit organization performance.

This study modifies Kansei engineering by measuring the effect of customer emotional satisfaction from the services provided by logistics service providers on customer loyalty during the Covid-19 pandemic. Kansei engineering modification in this study uses EFA (exploratory factor analysis) analysis in the ServQual dimensions, then CFA (Confirmatory Factor Analysis) is taken to examine the relationship between variables. The object of distributing the questionnaire is 298 respondents who have experience using the services of Indonesian logistics providers. The EFA results on the ServQual dimensions show three new variables besides Kansei’s words: customer satisfaction, commitment, and loyalty. The CFA findings also show that during the Covid-19 pandemic, customer commitment affects customer loyalty. In addition, customer commitment mediates customer satisfaction and customer loyalty. Lastly, customer satisfaction significantly affects customer loyalty.

The purpose of this paper is to provide a brief bibliometric review of the previous literature review in understanding the implementation of green procurement through supplier selection. Researchers contribute to the field of procurement, especially in developing environmentally friendly procurement in supplier selection. In recent years, the public and private sectors have considered environmental aspects in their purchasing policies. Consideration of environmental aspects is known as green procurement. Using green purchases makes it known to produce environmentally friendly products so that the public can more easily recognize them. The method used is a structured literature study sample for 1994–2022. A total of 220 articles with the keywords green procurement and supplier selection were collected. Authors use Publish or Perish and VOSviewer to find journals, authors, citations, keywords, and word hierarchy maps. This bibliometric review related to the implementation of green procurement is useful for researchers and practitioners in their fields, especially those related to supplier selection. Research proves that green procurement became a widely adopted method in publications from 1994. This suggests that citation and forwarder network analysis for selected publications is a topic such as a supplier selection.

A company needs to know each employee's ability to reduce accidents that happen to workers due to a lack of study on ergonomic principles. The research was conducted at a construction company producing paving blocks in Kediri. The paving production capacity at the company is 1000 paving/day. In 2017, three work accidents were caused by the fast pace of workers reaching the tired phase while working. Pulling, lifting, and putting down in carrying weighty loads and the repetition frequency of intense activities trigger stress on body parts that affect the worker's performance. The purpose of this study is to assess and provide recommendations for improvements in work activities that have a hazardous risk value based on the MFA and NERPA assessment methods. The research on the MFA method shows that activities with dangerous risk (high/very high) were in transportation activities. For the NERPA method, activities with dangerous risks were in 3 activities at the finishing work station with a final score of 7. Recommendations for improvement are work posture improvement, physical environment improvement, and work facilities.

This paper reported the factors affecting the adoption of green procurement in Indonesian educational institutions. A quantitative method is used to understand the effects between variables on green procurement implementation. Data from respondents working on the divisions of procurement from higher degree institutions in the province of East Java Indonesia are collected in this study. The results were indicated that there are no significant effects on middle management staff, awareness, and corporate responsibility on the implementation of green procurement on educational institutions. At the same time, there is a significant impact of green supply approaches such as ISO certification and eco-design product strategy on the adoption of green procurement.

The spread of the corona virus (COVID-19) has had a massive impact on all business sectors in Indonesia. Food cold supply chain is a business sector that is quite badly affected. This is because the food cold chain requires special treatment to maintain its quality, has a relatively short life and cannot be returned. This article discusses the impact of the COVID-19 pandemic and its social impacts such as social restrictions and area lockdown on the business of food cold chain. It also discusses mitigation that needs to be done to anticipate related issues such as food supply-demand, food safety and some transportation challenges

This study analyzed the traceability system's effect on Indonesia's food cold chain performance during the Covid-19 pandemic and described the needs of cold food consumers in Indonesia regarding the traceability system. Five latent variables were used to form research models, including the adoption of electronic data interchange (EDI), radio frequency identification (RFID), blockchain, traceability system, and food cold chain performance. This study uses a quantitative approach with a questionnaire as a research instrument distributed to 140 respondents by purposive sampling. The total number of manifest variables measuring latent variables is 28 variables. A partial least square for structural equation modeling (PLS-SEM) is used to analyze the relationship between latent variables. The results obtained through this study are that exogenous variables: EDI, RFID, and blockchain adoption, significantly affect endogenous variables, namely the traceability system. Blockchain adoption is proven to have a very significant influence compared to the three information technologies. This work also confirms that the traceability system also has a significant effect on food cold chain performance.

This article provides a systematic literature review of the driving factors influencing the application of green supply chain management (GSCM). The GSCM adoption issues have been widely given attention by researchers and practitioners since the adoption of GSCM would impact significantly on an organization's environmental, social, and financial performance. Most GSCM adoption has been discussed in the perspective of logistics management activities such as procurement, manufacturing, transportation, and reverse logistics. Nowadays, the discussion of GSCM adoption in terms of the driving factors affecting a successful GSCM application has led to complexity. In this article, a further review and discussion are conducted in terms of the driving factors dealing with GSCM adoption, including three major points, such as the driving forces of green procurement, green manufacturing, and green distribution and reverse logistics adoption. The driving factors are reviewed to highlight the recent factors affecting GSCM adoption. In this article, 94 papers from the past study are presented, associating each point of the discussion.

This article attempts to explore approaches and applications of the location-allocation problems in the supply chain perspective. A review has been done for articles which have relation with the approach of location-allocation problems that includes the drivers of the supply chain such as inventory, transportation, service level, and customer demand. Moreover, the application of location-allocation problems that consider supply chain drivers is also discussed. In this article, a discussion of location-allocation discussions previously investigated by researchers is done through a literature review published in several reputable journal databases. 57 journal articles successfully collected and reviewed related approaches and applications used by researchers in location-allocation problems in a supply chain perspective. Analysis of the findings of this article can be summarized that approaches of the location-allocation problem in supply chain perspective can be divided into 2 areas: the echelon of the supply chain and the drivers of the supply chain.

This paper develops the remanufacturing inventory model considering the storage capacity. The suggested model aims to minimize the total inventory cost (TIC). The model used the EOQ model, one of the basic inventory models in the supply chain. Numerical experiments and sensitivity analyses were carried out on models developed using the Lagrangean method. The existence of constraints in storage capacity can produce an optimal quantity of remanufacturing while minimizing inventory costs. This study also indicates that there is an impact between warehouse capacity, number of cycles, backorder costs, and the level of product collection on total inventory costs, and provides management implications that companies can make appropriate policies to minimize total inventory cost.

This article models a reverse logistics network for battery recycling with consideration of environmental and manufacturing costs. The model is developed for a reverse flow multi-echelon supply chain, from end customers to the remanufacturing process. Linear programming is used to formulate mathematical models and LINGO® is applied to solve the problem of determining optimal orders for and sales of recycled batteries, lead alloy and plastics, as well as the optimal level of safety stock (service level) for the recycling centers along the reverse logistics network. The number of battery orders from unused battery collectors, and the sales of lead alloy and plastics to the remanufacturing process considering transportation, environmental cost, disassembly cost and inventory costs, are found optimally in different periods. The study also indicates that there is a correlation between the associated costs and inventory decisions and total profit in recycling centers.

Background: The increasing Muslim population worldwide will increase the Islamic market share in the future. Thus, the higher demand for halal food has caused the food industry to pay attention to the quality control system for the ingredients used. This paper aims to review the previous literature regarding the traceability system for halal suppliers in the food supply chain to achieve the specified halal standards. It discusses the literature review as a method for conducting research and offers an overview of different types of reviews, as well as some guidelines to both conduct and evaluate a literature review. Methods: The method uses a sample of about 200 articles from the structured literature study period in 2007–2021. We use Perish application to identify journals, articles, citations, authors, and keywords. Results: The analysis reveals five research topic clusters: traceability, halal supply chain, food supply chain, halal logistics, and halal lifestyle. There is a strong relationship between procurement and traceability. Procurement is related to the food industry and halal traceability. The food product traceability system provides transparency in food manufacturing, enabling customers to trust halal product claims. The results show that food supply chain information systems can enable traceability and transparency. Conclusions: The review of this analysis is related to the supplier traceability system in the halal-food-production supply chain, which can help explore halal supplier issues and trends. For future research, technology can be used within a traceability system in the halal food industry, such as data interchange, radio frequency identification, and blockchain.

Background: The success of e-commerce cannot be separated from a good delivery experience. Meanwhile, research that discusses the quality of logistics services that serve e-commerce by comparing the quality of its competitors in Indonesia is still little discussed. The case study in this research is two logistic service providers in Indonesia. Methods: This study uses the integration of the SIPA method and Kano Modification. Both SIPA and Kano can determine priority and effective strategies to improve service quality. Results: The use of SIPA can identify the importance of service attributes and compare the performance of the two logistics services. A dynamic cycle of service attributes encourages using Kano Modification in this study to expand opportunities for determining managerial strategies. Conclusions: The results in this study provide insight into the main strategies that must be carried out on attributes considered important and maintain quality to be superior to competitors.

Decision-making based on expert’s opinion by data envelopment analysis (DEA) models requires crisp number. However, the assumption of expert might not always be accurate. This paper introduces fuzzy DEA credibility constrained and relative closeness (RC) index to cope with uncertainty data. The proposed approach transforms the traditional DEA models to be fuzzy events by using credibility measure. Furthermore, RC index was used to increase the discrimination power of traditional DEA. Two numerical examples with different credibility level are presented for demonstrate the proposed fuzzy DEA credibility constrained and RC index. The findings indicate that the credibility level impact on the RC index on both numerical examples. The increasing level of credibility value would drop the value of RC index.

This article identifies the influence of logistics service quality in Indonesia on customer satisfaction and loyalty during the COVID-19 pandemic and customer trust as a moderating variable. In this study, the service quality consists of three variables: the quality of staff service, quality of operational service, and technical service quality. In this study, a conceptual model was generated by providing four other variables: customer satisfaction, customer trust, customer loyalty, and customer commitment. The 300 respondents were selected to fill out the formal questionnaire, while 30 respondents were as a trial for the formal questionnaire. The questionnaire trial analysis was assisted by SPSS 23, while the formal questionnaire analysis was carried out with SmartPLS 3.0. This study resulted in four hypotheses accepted from the ten proposed hypotheses. The results show that the quality of staff service and technical service quality significantly affects customer satisfaction. It is also found that customer satisfaction and customer trust have a significant effect on customer loyalty. The use of Kansei in this study will provide a different perspective to describe customer services during the COVID-19 pandemic.

This article investigates the impact of traceability of the quality of the information system on humanitarian logistics performance. There are four variables studied, namely electronic data interchange (EDI) adoption, blockchain (BC) adoption, radio frequency identification (RFID) adoption, traceability of humanitarian logistics, and humanitarian logistics performance. This research was conducted to assess disaster logistics services in the implementation of service principles in humanitarian logistics. The conceptual model is modeled by introducing three information technologies as independent variables and the humanitarian traceability and logistics performance as dependent variables. The questionnaire was distributed to 96 respondents, and the data was processed using PLS-SEM 2.0. The results show that EDI adoption has no significant effect on the traceability of humanitarian logistics. In contrast, BC and RFID adoption has a significant effect on the traceability of humanitarian logistics. In addition, this study also shows that humanitarian logistics traceability has a significant impact on humanitarian logistics performance.

Background: At Indonesian level crossings, traversed by logistics trains, there are still frequent cases of accidents. The overall mishaps in 2020 were 199 cases of accidents at level crossings involving road drivers. Mental load factors affect the behavior of drivers on the road; Methods: this study, field observations and surveys were carried out using the Driver Behavior Question-naire (DBQ) and NASA TLX to measure mental load; Results: The results showed that 62% of drivers had a very high mental load factor. The mental load factors are effort, frustration, and temporal demand. Meanwhile, based on the results of DBQ, the type of behavior that is often carried out is Violation; Conclusions: From the results of field observations, it is also known that there is a significant influence between time and type of vehicle on violations. Thus, it was necessary to improve facilities and systems at level crossings to provide convenience and reduce the volume of transportation going through level crossings to reduce the risk of accidents and violations at level crossings.

Background: This article identifies the preferences of the customer of logistics services in Indonesia using the Kansei engineering and conjoint analysis methods. The Conjoint Analysis aims to establish utility scores that represent factors in logistics services. Methods: In this study, 100 respondents from several cities in East Java, Indonesia, are selected to fill out the formal questionnaire. At the same time, 30 respondents are chosen to determine the attributes and level attributes. The analysis to determine attributes, level attributes, and formal questionnaires are assisted by SPSS 25. Sixteen stimuli are generated in this study to be used for a formal questionnaire. In this study, Kansei is used to provide a different perspective to describe the customer service, Including six attributes: delivery services, delivery speed, courier attitude, order information, condition of goods, and warehouse locations. Results: The results show that customers’ most preferred attributes are based on the condition of undamaged objects, and the attitude of the courier is vital for users in this study. Conclusions: The most considered instruments by the customer, such as delivery services, delivery speed, courier attitude, order information, condition of goods, and warehouse location.

The selection of the welding process is a matter of decision-making involving a variety of information according to the type of product.Accordingly, the vast information will significantly enhance the decision-making process. A combined p-robust technique, fuzzy credibility constrained programming and data envelopment analysis (DEA) are proposed to select the welding process for repairing the shredder hammer. The p-robust technique has regret value to control relative regret of data, and fuzzy credibility constraint programming has confidence level to satisfy chance constraints. In addition, the proposed approach is able to handle fuzzy input data and fuzzy output data to uncertainty data. The proposed method is used to investigate which welding process is best based on two cases. Three welding processes are analyzed for the first case that focuses on manual welding process, and four welding processes are investigated for the second case that focuses on automatic welding process. According to the results, increasing the credibility level would also increase the discrimination power of the proposed approach, so the ranking of DMUs could be seen easily.

This article identifies the effect of logistics service quality on customer satisfaction and customer loyalty with customer trust as a moderating variable from the context of Indonesian humanitarian logistics providers. In this study, the service quality was provided into three variables, namely the quality of personnel services, the quality of operation services, and the quality of technical services. The conceptual model is generated by introducing three other variables, namely, customer satisfaction, loyalty, and trust as a moderating variable. Eighty respondents completed the formal survey. The pilot test and the structured questionnaire were analyzed using the SPSS 21 and Smart-PLS 2.0 to evaluate the relationship between the variables. The results of this study were accepted three out of eight hypotheses. The personnel service quality has a significant impact on customer satisfaction, customer satisfaction has a significant effect on customer loyalty, and technical service quality has a considerable impact on customer loyalty. The use of Kansei engineering for humanitarian logistics service in this study would provide a different perspective in terms of capturing the voice of customers’ perception of relief logistics service quality

This article designed a service model in logistics services for document and package delivery through the exploration of service element relationships and customer perceived (i.e. Kansei). Kansei engineering is used in this article to design 24 questionnaire instruments and 41 services attribute questionnaire instruments. The questionnaire was distributed by purposive sampling with a total of 100 respondents in logistics services: package delivery services, package tracking services, and package delivery services. In this study, Partial Least Square for Structural Equation Modelling (PLS-SEM) is used to analyze the relationship between Kansei and the logistics service elements. The results indicate that Kansei’s words affect significantly on the three logistics services. The results of this study indicate that the variables obtained from Kansei words have a significant effect on 16 elements of logistics services. The innovative Kansei word has the most influence in the delivery service, the reliable Kansei word has the most influence in the tracking service, the reliable and adjustable Kansei word has the most impact in the delivery service. This study also produces the best service attributes at each service stage to improve the quality of logistics services. This finding has important implications for logistics managers in designing services that take into account elements of customer-based voice services.

Customer loyalty has become the most important goal of companies’ logistics and supply chain divisions. In a Muslim country such as Indonesia, halal products have the potential power to foster customer loyalty. Halal status highly depends on halal logistics, especially with regard to halal meat products. A good halal meat product depends on good halal logistics performance. The influence of logistics performance on loyalty has been investigated in many marketing studies, but research in the field of halal logistics is rare. The research gap in this area has become the background for this conceptual paper. The main purpose of the paper is to provide a literature review of halal logistics performance and customer loyalty, thereby establishing the issues concerning both subjects. The review also provides a conceptual framework for the study, including other factors affecting customer loyalty, such as halal supplier service quality, perceived service value, and customer satisfaction.

This article attempts to explore and review methods and approaches in the Supplier selection process. Review of articles related to the approach in supplier selection that includes identification, evaluation and contract activities with suppliers is reviewed based on the quantitative and qualitative models conducted in this article. In this article, a discussion of supplier selection methods previously investigated by researchers is done through literature review published in several reputable journal database. 86 journal articles successfully collected and reviewed related methods and approaches used by researchers in memeilih supplier. From the results of this study can be concluded that the method of supplier selection through qualitative and quantitative approach is then subdivided into 4 categories with 18 methods discussed.

Background: Traceability systems and carbon emissions are two important factors involved in production and distribution activities. The involvement of these two factors in production and distribution activities along the supply chain will ensure the safety and quality of food through the manufacture, packaging and distribution of products with minimal costs and in an environmentally friendly way. Objective: This study aimed to develop a model of canned fish food production and distribution integration by considering traceability and carbon emissions to minimize total costs. Method: A mixed-integer linear programming (MILP) approach was used to develop mathematical models and the optimal solution of the model created was obtained using an open-source spreadsheet solver program. Results: The results show that the proposed models produce the minimum total production and distribution cost with high traceability and low carbon emissions. Conclusions: The sensitivity analysis from this study shows that there is a significant relationship between production, carbon emissions, and the total cost of production-distribution. Moreover, it was concluded that the production level, carbon emission level, and emission threshold can have a significant influence in the generation of the total carbon emissions.

This study was conducted to determine the performance impact of e-procurement adoption in Indonesian manufacturing companies. This study consists of four variables: top management support, information quality, implementation of e-procurement, and company performance. Pilot testing questionnaires were used to test whether the respondents understood the questions given by the researcher. After conducting the pilot test, the final questionnaire was distributed to respondents. The pilot test results and the final questionnaire were analyzed using Statistical Package for Social Science (SPSS) version 21 and SmartPLS v3.0 software to determine the relationship between variables. The results of this study support the acceptance of three hypotheses. The results indicate that top management support has a significant effect on e-procurement implementation. Other results show that information quality has a significant effect on e-procurement implementation, while e-procurement implementation has a significant effect on company performance. From the findings of this article, recommendations from a management perspective are discussed to increase management awareness in adopting electronic procurement.

This article is related to approach development in order to determine the most appropriate route for bottled water delivery from warehouse to retail from particular boundaries such as a limit on number of vehicle, vehicle capacity, and time windows to each retail. A mathematical model of VRPTW is adopted to solve the problem. Malang is one of the drinking water production centers in Indonesia, definitely it will be difficult for the company to determine the optimal delivery route with the existing restrictions. In this research hybrid genetic algorithm is use to determine the route shipping companies with the Java programming language. After analyzing the results obtained show that the results of the implementation of hybrid genetic algorithm is better than the company actual route. Moreover, authors also analyze the effect the number of iterations for the computation time, and the influence the number of iterations for the fitness value or violation. This algorithm can be applied for the routing and the result obtained is an optimal solution

This investigation was carried out on the adoption of the e-money payment model with the application of a quantitative and qualitative approach (mixed methods). Online questionnaires, which included closed-ended questions on a Likert five-point scale and open-ended questions, were distributed through social media chat groups. Respondent samples were drawn from the population of adolescent customers in Indonesia. The collected questionnaires were verified for accuracy, reliability, and validity before the data were analyzed. Adequate data were used to test the relationship model between latent variables, and the relationship of latent variables in the model was tested using partial least squares by employing Smart-PLS 3.0 software and NVIVO 12 plus. The final analysis shows that the reasons for adopting e-money are practicality and convenience. The main reasons that customers adopt electronic money are its practicality, ease of use, efficient transaction time, faster payment, and the simplicity of the payment process. The final modeling formed good-fit inner and outer models. This model verifies the significant influence of social factors, effort expectancy, and facilitation conditions on e-money attitudes. Additionally, social factors, effort expectancy, and attitudes have a significant influence on e-money behavior.

The objective of this study is to determine the influence of initiative and intention for an organization to adopt green supply chain management (GrSCM). The effects of GrSCM implication and trust inter-organization to organization performance are also determined in this study. In this article, quantitative research is done by collecting 91 purposive sampling data of Indonesian manufacture and descriptive and inter-correlation analysis using SPSS and smartPLS. The results of this study show that the initiative influences positively and significantly to the adoption of GrSCM application, while intention has no significant effects on GrSCM adoption. The application of GrSCM has a low significant relationship to the organization performance. Moreover, the initiative variable is not able to moderate GrSCM application; however, trust is able to moderate the influence of GrSCM adoption to organization performance.

Penjadwalan bagi perusahaan adalah aspek yang sangat penting, karena penjadwalan merupakan salah satu elemen perencanaan dan pengendalian produksi, sehingga perusahaan dapat mengirim barang sesuai dengan waktu yang telah ditentukan, agar diperoleh waktu total penyelesaian yang minimum. Dalam penelitian ini, penjadwalan menggunakan metode Simulated Annealing (SA) dengan bantuan Matlab diharapkan dapat menghasilkan waktu total penyelesaian (makespan) lebih cepat dari penjadwalan yang ada pada perusahaan. Metode SA mensimulasikan proses annealing pada pembuatan materi yang terdiri dari butiran Kristal atau logam. Tujuan dari proses ini adalah menghasilkan struktur kristal yang baik dengan menggunakan energi seminimal mungkin. Permasalahan yang dihadapi oleh perusahaan adalah perusahaan belum mempertimbangkan makespan dalam penyelesaian produk dan penjadwalan produksi untuk produk paket satu rumah kos-kosan. Hal ini berdasarkan data produksi yang terjadi keterlambatan dilihat dari waktu penyelesaian (makespan) produksi, sehingga perusahaan harus menambah 2-5 hari lagi untuk bisa menyelesaikan keseluruhan produk. Dengan menggunakan metode SA menghasilkan makespan 23 jam, lebih cepat 2 jam dari pada penjadwalan awal.

PT. XYZ is one of some cigarette companies in Indonesia. In producing cigarette, the firm requires a material named “etiket” which is produced by printing division for internal consumers of PT. XYZ. merupakan salah satu dari beberapa produsen rokok di Indonesia yang telah dikenal masyarakat. In order to produce “etiket”, there are some wastes occurred. One of wastes occurred in printing division is product defects. This paper attempts to identify wastes in the division of printing using Lean Manufacturing approach by applying Value Stream Mapping (VSM) method. The results from Cause Root analysis found that the problems caused the defects in production process. It shows that the most wastes occurs in the printing division are product defect and waiting time. The product defects are caused because there is no standard applied in processing the product and poor inspections by management, while the causes of waiting time wastes is because of lack of carrier and no standard in each process. The recommendation can be suggested to the company are adding some carrier (product’s transporter), creating process standard in each process.

This article apply a machine scheduling technique, named Simulate Annealing (SA) to schedule 8 jobs and 5 machines to minimize makespan. A flowshop production flow is chosen as a case study to collect data and attempted to reduce jobs’ makespan. This article also does a sensitivity analysis to explore the implication of the changes of SA parameters as temperature. The results shows that the completion time of the jobs uses SA algoritm can decrease the completion time of the jobs, about 5 hours lower than the existing method. Moreover, total idle time of the machines is also reduced by 2.18 per cent using SA technique. Based on the sensitivity analysis, it indicates that there is a significant relationship between the changes of temperatures and makespan and computation time.

The progress of online shopping worldwide has impacted significantly to business processes as well as customers’ behavior in shopping. Thus, research in online retailing especially in virtual store layout has been made by researchers in numerous numbers. This article attempts to explore prior research in virtual layout retails to identify the research in virtual retailing in term of the variables involved in designing the virtual store layout.

This article attempts to schedule flow shop production using Nawaz Enscore Ham (NEH) to schedule jobs machining. The objective of this paper is to minimize total makespan which could reduce total production costs. This paper is based on the case study where NEH is applied in scheduling jobs in machines and then compared with the existing machine’s scheduling. The algorithm of NEH is also used to reduce idle time of machines so that the utility or performances of the machine are maintained. The results of NEH simulation indicate that by applying NEH algorithm to scheduling machines for 10 jobs and 5 machines can reduce 2.5 per cent or 118 minutes of completing time of jobs. It also decreases total idle time of machines about 582 minutes compared with the existing scheduling.

PT. XYZ is one of some cigarette companies in Indonesia. In producing cigarette, the firm requires a material named “etiket” which is produced by printing division for internal consumers of PT. XYZ. In order to produce “etiket”, there are some wastes occurred. One of wastes occurred in printing division is product defects. This paper attempts to identify wastes in the division of printing using Lean Manufacturing approach by applying Value Stream Mapping (VSM) method. The results from cause root analysis found that the problems caused the defects in production process. It shows that the most wastes occurs in the printing division are product defect and waiting time. The product defects are caused because there is no standard applied in processing the product and poor inspections by management, while the causes of waiting time wastes is because of lack of carrier and no standard in each process. The recommendation can be suggested to the company are adding some carrier (product’s transporter), creating process standard in each process.