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Purpose: This paper aims to propose a flow shop scheduling problem for equipment overhaul. This problem consists of three stages, the separation of the components of an equipment is done in the first stage. Repairs and overhaul operations are carried out on the separated parts of the first stage in the second stage. Finally, the overhauled parts of the previous stage are mounted on each other in the third stage. In the third stage, operations are performed in parallel workshops. The objective function of the problem is the maximum time to complete jobs, and the sequence of processing jobs should be done in such a way that the value of the objective function is minimized. Design/methodology/approach: To solve the problem, a mixed integer programming model has been proposed for small size, which determines the processing sequence of jobs based on the position of each job. A genetic algorithm has been used to solve the problem in large dimensions. By increasing the size of the problem and in different sizes, the results have been examined and analyzed, which shows the efficiency of the model and the proposed algorithm. Findings: To check the accuracy of the model's performance and also the effect of the presence of parallel machines in the third stage, an example was presented in this paper. Accordingly, while the accuracy of the model's performance was checked, the effect of the presence of more machines was determined in the third stage. As the number of machines increased in the third stage, the value of the objective function did not deteriorate. The performance of GAMS in solving the problem in a small size was investigated. Considering that solving the problem for large dimensions is not possible in a reasonable time and the problem is NP-hard, then solving the problem in large dimensions was done using a genetic algorithm. Therefore, solving the problem on a large dimension has been done using the genetic algorithm. According to the obtained results, the efficiency of the genetic algorithm was shown. Due to its low average value, it indicated the convergence of the genetic algorithm. Research limitations/implications: Considering that there are not many published papers in the field of equipment overhaul, it is difficult to access related models and papers. Therefore, in this paper, the model and solution method have been written with many reviews. Also, to check and reduce costs, the number of third-stage machines has been determined using sensitivity analysis. Practical implications: The problem of equipment overhaul is used in many fields in reality. For example, the operations related to the maintenance, repair and overhaul of the aircraft engine have been investigated. Since the planning of maintenance and maintenance operations is difficult, the focus of research has been on improving maintenance operations by finding suitable scheduling for job shop operations in maintenance operations. They emphasized that scheduling can improve maintenance operations and presented a simulation model. Social implications: The purpose of creating a space to start an activity is to reduce costs, earn money and achieve profit. To examine the cost-effectiveness of the equipment overhaul issue, we can refer to the number of third-stage machines. According to the amount of equipment to perform an overhaul on them, the number of third-stage machines can be determined. Therefore, extra machines can be removed to reduce the cost. On the other hand, if the related equipment to the customers is different, to reduce the storage costs or increase customer satisfaction, different goals should be considered. Here, the objective function of maximum completion time is considered for this purpose. If the equipment must be available at a certain time, goals such as the total time to complete the job can be considered. In line with the application of the social implications in the investigated problem in this paper and considering that the investment costs, as well as the ability to respond to the applicants' requests, are related to the number of third-stage machines, the value of the objective function is analyzed based on the number of third-stage machines and analysis has been done. Originality/value: In this paper, a three-stage flow shop scheduling problem in the overhaul industry was studied. Accordingly, a new mathematical model based on the job processing position was proposed, which dealt with the exact solution of the problem in small dimensions. According to the type of problem in the overhaul environment, the combined flow shop problem for equipment overhaul was investigated. Also, the use of parallel machines in the third stage of the equipment overhaul problem is one of the new issues under investigation. [ABSTRACT FROM AUTHOR]

Purpose: Emerging technologies have become one of the main concerns of societies of today. Governments and societies are well aware that their economic future and survival in today's changing world are tied to new technologies, especially artificial intelligence technology. This paper aims to help managers, practitioners, and policymakers in prioritizing the implementation of artificial intelligence technology in applications such as transportation, health, security, education, and research. Design/methodology/approach: After a relatively complete follow-up in the field of artificial intelligence research, the criteria for prioritizing emerging technologies have been calculated and weighted by the Friedman method. Then, the application areas have been identified by the thematic analysis method. Finally, using the COPRAS multi-criteria decision-making technique, the application areas of artificial intelligence have been ranked. Findings: This research resulted in a model and indicated that the three areas of economics, transportation, and governance were given more priority for the application of artificial intelligence technology, respectively. Research limitations/implications: Designing mechanisms to monitor advances in emergent technology and artificial intelligence to improve the proposed model and update the model were the most important suggestions. Another suggestion was to identify the gap between the theoretically developed model and practice. Practical implications: This paper provides a reliable prioritization of the applied areas using scientific criteria appropriate to the country. This provides a scientific-operational package, and policy-making by creating a logical relationship between theory and practice. If such a document is presented in policy and legislative circles, this prioritization can be one of the most important tools for decision-making and rescuing from political and strategic dilemmas. Social implications: Improving the quality of human life by implementing artificial intelligence in various usages of daily life, and facilitating social availability to the important types of possibilities are the most important achievement of this research. Originality/value: Since no model has been found to prioritize the implementation of artificial intelligence technology in applications, the proposed model closes such a gap. The paper provides appropriate tools both to practitioners and policymakers who intend to decide and deploy artificial intelligence. [ABSTRACT FROM AUTHOR]

Purpose: Cross-docking deals with the goals of lean supply chain management. It is a distribution strategy. In this structure, goods are shipped from inbound to outbound trailers on the same day or overnight without putting them into storage. Cross-docking can realize transport efficiencies at reduced material handling and storage costs by eliminating the storage and order-picking activities from the main warehouse operations. These advantages make cross-docking an interesting logistic strategy that can give companies considerable competitive advantages. This paper aims to introduce cross-docking, its characteristics and its problem types, comprehensively. The focus of this study is on distinguishing research gaps. Design/methodology/approach: Systematic review is "review research by explicit, rigorous and accountable methods". Reviews and their findings can vary on many aspects of the 'dimensions of different'. One such review is the 'review of reviews'. A systematic review of primary research is the second level of research analysis. A review of reviews (sometimes called 'overview' or 'umbrella' review) is a tertiary level of analysis. It is a systematic map and/or synthesis of previous reviews. The 'data' for such reviews of reviews are previous reviews rather than primary research studies. This can be an efficient method for examining previous research. In this paper, cross-docking literature systematic review (review of reviews method) has been discussed by introducing, clustering crossdocking decision problems, and drawing future research directions. Findings: Bibliography, cross-dockings, and classified characteristics of cross-docking based on the decision levels (strategic, tactical and operational levels) were the major findings of this study. Also, the cross-docking problem types were addressed and the gaps in the field of cross-docking were determined. This study highlighted two frequent gaps that would need to be filled by focusing on the research areas of taking deadlines for the trucks into account and dealing with uncertainty. Research limitations/implications: Book chapters and conference papers were excluded from this research. Reviewed papers were published in a certain period and the English language. Practical implications: Today firms use different types of distribution strategies. Cross-docking with eliminating the storage and order-picking activities from the main warehouse operations is an interesting logistics strategy. products with predictable, high cubic volume flow, and perishable products are ideal candidates for cross-docking. Cross-docking is nowadays used by many companies and industries such as the retail industry, automotive industry, telecommunications and electronics industries. Social implications: Cross-docking results in smaller volumes of more visible inventories that are delivered faster and more frequently. Several other advantages of cross-docking are addressed in the literature compared to traditional distribution centres. Some advantages are reduced cost (warehousing costs, inventory-holding costs, handling costs, labour costs), shorter delivery lead time (from supplier to customer), improved customer service, reduced storage space, faster inventory turnover, fewer overstocks, and reduced risk for loss and damage. Originality/value: Due to the advantages and extensive applications of cross-docking, in this paper a "review of reviews" was performed, and after introducing cross-docking terminals and their problem types, distinguish research gaps were determined for the future research study. Therefore, researchers were suggested to concentrate on the addressed gaps in their models to get closer to real-life constraints. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to introduce necessity and possibility equality constraints in a real case, developing and improving fuzzy network DEA models by using proposed relations and creating a suitable and applicable framework for situations with uncertain and ambiguous data with multi-stage and network structure. Design/methodology/approach: First, the defuzzification relations of necessity equality constraints have been introduced. Then a new fuzzy network DEA model using proposed relations has been developed. After presenting the appropriate mathematical model and due to the infrastructural role of the electricity industry in the country's economy, electricity industry network structure, and uncertainty in some data of the electricity industry, the proposed fuzzy network DEA (FNDEA) has been used based on the possibility theory to evaluate all efficiency and sub-efficiency scores of Iran regional power companies. Findings: For evaluating the efficiency of the proposed FNDEA, the designed fuzzy network DEA has been used to calculate all efficiency and sub-efficiency scores of Iran's regional power companies. According to the results, the proposed research approach can be used as an efficient tool for performance evaluation in processes similar to network-fuzzy nature. Research limitations/implications: For future studies, FNDEA-SBM could be reformulated using a credibility measure which is considered as an average of the Pos/Nec measure, and a general fuzzy measure that is equal to the convex combination of Pos and Nec measures. Also, the adjustable fuzzy DEA model (AFDEA), which was proposed by Peykani could be adopted to equality constraints using Theorem 1. The novel fuzzy concepts such as Z-number, fuzzy type-2, and random fuzzy variables model (for more details see Azadeh & Kokabi (2016), Qin, Liu, Liu and Wang (2009), and Tavana, Shiraz, Hatami-Marbini, Agrell and Paryab (Tavana et al., 2013). In addition, further investigation into the evaluation and ranking of DMUs in different contexts and real-life case studies with fuzzy data can be carried out by applying the proposed model. Practical implications: The results of the proposed fuzzy network DEA model based on the possibility and necessity measures provided useful managerial implications for the efficiency and subefficiency evaluation of regional power companies. The study proved the usefulness of fuzzy network DEA as a decision-making tool in processes similar to network-fuzzy nature. Social implications: Due to the infrastructural role of the electricity industry in the country's economy, it is significant to evaluate the overall efficiency and sub-efficiencies of generation, transmission, and distribution centers of regional power companies. Allocating the optimal resources in the generation, transmission, and distribution centers of regional power companies based on the proper criteria increases the efficiency of the electricity industry and the quality of the level of welfare of the community. Originality/value: Concerning the necessity (Nec) measure, there is a lack of any procedure or formula to deal with equality chance constraints and this is one of the main challenges in possibility theory; therefore, in this paper and for the first time a solution has been provided to deal with such a challenge. [ABSTRACT FROM AUTHOR]

Purpose: Today, the manufacturing industry, with the expansion of the physical constraints of trade worldwide, has adopted modern information technologies to optimize the business process and achieve integration with geographically dispersed supply chain partners. Traditional supply chain models focus on optimizing physical flows. However, it is equally important to ensure that physical units can process appropriate information. This paper aims to propose a model for the optimization of information process performance in the IoT-based virtual supply chain. Design/methodology/approach: In this study, information processing performance in the closed-loop virtual supply chain has been optimized to maximize profit and information processing speed by considering costs of virtual, information security, and energy consumption. The final programming model has been optimized using meta-heuristic algorithms, the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), and the Strength Pareto Evolutionary Algorithm (SPEA-II). Findings – The results indicated that there is an inverse relationship between virtual supply chain profit and information processing speed (delay). The results of model solving using NSGA-II and SPEA-II algorithms underlined the virtual supply chain profit of 9.93×106 and 4.23×106, and the data processing speed of 337.48 and 94.07, respectively. Thus, the NSGA-II algorithm contributes more to the supply chain profitability. Research limitations/implications - The proposed model can be used in manufacturing industries equipped with IoT. Unavailability of practical examples and insufficient data are the two main limitations of the study. Practical implications:- The proposed model improves the production process and helps managers to plan better for their supply chain management and make timely decisions by sharing information across the supply chain and being aware of the flows of products and associated parts. Social implications - The Internet of Things in the virtual supply chain provides an opportunity to manage logistics systems and results in efficient online delivery with minimal cost. The information flow integrates all links and participants in the virtual supply chain. It enables each member to obtain the accurate information needed for logistics capability, reduces resource wastage, and improves customer satisfaction. Originality/value: One of the innovative aspects of this research is the use of IoT in the virtual supply chain for the integration and transparency of information in the supply chain, considering the importance of information in the virtual supply chain and examining the impact of IoT usage on closed-loop virtual supply costs and target functions. In addition to considering the physical flow costs of the closed-loop, including production costs, separation costs, repair, disposal, recycling, etc., in the cost objective function, virtual flow costs included IoT usage costs and information security costs. Energy consumption was also included in the objective function. Also, due to the virtualization of the supply chain and the significant role of information, optimization of information processing speed was considered in modeling the supply chain performance, which is another innovative aspect of research. [ABSTRACT FROM AUTHOR]

Purpose: The Technology readiness level (TRL) measure is a scale for calculating the maturity of a unique technology according to operational application in the environment of a system. when the TRL from level 1 of unique technology is transferred to the context of the system, a more comprehensive set of communications may establish. Similarly, the consideration of integration, interoperability, and stability from the perspective of the system in an operational environment is important. To alleviate the concerns of the operating system level, the dynamic measure of system readiness level (SRL) is studied, which includes both TRL and integration readiness level (IRL), simultaneously. Design/methodology/approach: Since SRL is a mathematical combination of TRL and IRL and is a criterion for Improvement evaluation in the development of the main-system and infrastructure, in this paper uses the error mean method and utilization of TRL and IRL have been used and the level of readiness of the electric system of an ejection seat of a fighter has been examined and estimated. To facilitate the calculation, the design structure matrix (DSM) has been used to visualize the components and perform the necessary calculations. Findings: According to the estimated value of the readiness level of the system (3.95), it is concluded that the system under study is at the entrance of the construction development stage, and stabilization at this phase is achieved by performing various and frequent tests of the system. The system meets the needs of the mission by achieving the ability to be operational. Research limitations/implications: The most important limitation of this paper is the lack of accurate access to tests and experiments performed to evaluate system performance and components within the system (to check how the connections work, establish a common language, ability to control, etc.). Therefore, to determine the levels of readiness at each level, considerable time should be spent to explain the requirements to the industry and to receive information from the engineers in the industry. This in turn can affect the accuracy of the work to some extent. Practical implications: One of the most important applications of this paper is that it can provide some of the information needed for the managers of authorized or sanctioned institutions so that a project can move to the next stage of development in a step-by-step process through specific review gates. Also, industry managers can increase the speed of achieving the design and development of their desired products by formulating the requirements for readiness and maturity (management) of the required technologies. Social implications: The results of this study can determine the level of readiness of a system. In addition to avoiding the very high costs (human and financial) resulting from the failure of operations, as expected from the designed system, by the application of the proposed approach, the managers and designers can be informed about the current state of the project. This enables them to plan the next steps of their project. Originality/value: This paper aims to propose a relatively new method for estimating the level of readiness of a system based on understanding the level of readiness and maturity of the system designed to be used in a specific mission using the error mean method, block diagram, and DSM. This study contributes to the examination of the level of readiness of a simple subsystem of the main system, i.e. ejection seat. Also, in this paper, the exact design structure matrices have been used which were obtained from the previous study of the authors. Similar to the previous research work, the symmetric matrix was not studied for simplicity. Therefore, the findings are more valid than the earlier study. [ABSTRACT FROM AUTHOR]

Purpose: In today's world, cyberspace and, of course, the communication and information system in the web platform is among the most popular categories. This category has attracted the attention of various private and public sectors for various reasons, including increased productivity, increased transparency, and increased serviceability. Therefore, the purpose of this study is to improve the quality of services in the field of e-government and thus increase the efficiency of government. Design/methodology/approach: The proposed model incorporates the key measures of e-government service quality to achieve better reliability and user satisfaction of e-government services while keeping the recurring expenditure low. This model has been designed by Interpretive Structural Modeling and DEMATEL. The researchers have architected and engineered key factors of e-government service quality and have developed an integrated model and identified the interactions among those factors. The case of this paper is the governmental kiosks as one of the main sites for delivering service. Findings: This research resulted in a model that indicates e-government service quality measurement indicators including customer confidence, efficiency, customer relationship, first time service, variety of services, service availability, service traceability, service support, interoperability, infrastructure, compensation, fit, compliance, quality assurance, and complaint management. Thus in the first step, the criteria were identified; in the second step, the criteria were categorized and designed by the opinion of experts; and finally, the intensity of the relationship among the criteria was determined to be aware of influence and effectiveness among them. Research limitations/implications: Design mechanisms to monitor advances in technology and e-government to improve the proposed model and update the model are the most important suggestions. Another suggestion is identifying the gap between the theoretical developed model and practice. Practical implications: The implication of this study is to achieve improved quality and to reduce the cost from lack of knowledge of qualitative criteria, mapping key indicators within the framework of a scientific model to improve the quality of e-government services while missing key policymakers and practitioners. Implementing this model in practice can satisfy electronic service providers by applying a part of indicators such as efficiency, interoperability, and infrastructure and satisfy the receiver of services by another part of indicators such as quality assurance, first time service, and complaint management. As a result, if the model is fully implemented, it will satisfy both the service provider, and the customer. Social implications: Reducing the gap between the people and the government and thus increasing public satisfaction is the most important achievement of this research. In addition, transparency, which is a very important issue, can be addressed in the context of the web. Thus, e-government can result in transparency and satisfaction. Originality/value: Because no established mapping model for governmental kiosks has been provided for effective, low-cost, high-quality e-government service systems, the proposed mapping model closes this gap and provides guidelines to evaluate e-government services. The paper provides appropriate tools both to practitioners and policymakers who work with information and communication systems. [ABSTRACT FROM AUTHOR]

Purpose: Regarding urban population growth and importance of time and cost in the societies of today, subway systems have faced with demand increase and passengers waiting time have prolonged. In urban transportation systems especially in subways, the passengers waiting time influences the society satisfaction deeply. Since the emersion of rail network, time and scheduling as important challenges have been emerged. Then the periodic train planning as one of the best solutions was introduced to decrease passenger waiting time, reduce travel length, and increase transportation safety. This challenge should be solved by subway managers. Due to the limited number of trains and equipment on subway lines and increase of their cost-effectiveness in reducing passenger waiting times at intersections, an attempt has been made in this paper to reduce waiting time using optimization models that often do not impose costs on the system. In addition, another aim of this paper is to fill the existing research gap in this area. Design/methodology/approach: This paper aims to calculate the weights of intersections stations in order to minimize the passenger waiting time through goal programming (Khalili Damghani et al. 2015; Mosadeghi et al. 2010). Many studies have been done on train scheduling and transportation mathematical modelling all around the world (Moghaddam and Mahlooji, 2017; Sadeghieh and Dehnavi-Arani, 2019). The aim of this paper is to minimize the deviation from desirable situation through goal programming. The main function of the proposed model is formulated again along with new construction, auxiliary variables and optimum values. It consists of variables with the concept of “deviation of desirable situation”. In this paper, both of the deviations of desirable situations are shown by dip and din which are undesired and should be minimized to achieve the optimum value. For this purpose, the fourth line of Tehran subway system and its intersections sections are considered as the real world problem. Findings: The model is solved by Lingo and optimum values are calculated. The model is developed based on goal programming and it can reduce the passenger waiting time and satisfaction which results in increased acceptance of public transportation in society. These findings are compared with current values of time tables for first and last movements. Findings indicated that the proposed model can reduce the passenger current waiting time by 42%. Research limitations/implications: In this paper, the accurate amount of passenger population was determined in a day based on lines, separately. Also, it was difficult to collect study data from the Tehran subway system organization. The proposed approach resulted in reduced passenger waiting time. Suggestions for further study include examining and analyzing the factors causing train delay and comparing the results of each single line with another; using simulation method to develop an optimization model for time tabling of train movement in order to optimize energy consumption; calculating and optimizing the number of subway station staff; and optimizing models to design the subway station network. Practical implications: As Tehran public transportation system is extending to cover more urban regions, the intersection stations will increase. Therefore, the role of these stations will be more tangible. Each intersection station scheduling affects the train movements in other stations and this continues throughout the length of the network. It means that each delay and pause will influence the other intersections, increasingly. The subway system managers can employ this model on other lines and reduce the waiting time of passengers in the whole Tehran subway. Social implications: As mentioned earlier, the waiting time of passengers in different stations, especially in intersections, is an important factor in using subway system as an effective public transportation system. It will increase or decrease the rate of subway usage. More public transportation usage leads to less air pollution, less traffic and faster travels in the city, which are all desirable for society. Originality/value: In this paper, a goal programming model was proposed to minimize the deviations in the objective function and subsequently, the passenger waiting time in intersection stations. As the intersection stations are increased, the role of the proposed method can be considered as a solution for public transportation in different cities of Iran. [ABSTRACT FROM AUTHOR]

Purpose: The project portfolio problem proceeds to choose a subset among the proposed projects in organization. One of the purposes of project portfolio management is the reduction of the available risks in portfolio selection process. In real world, the project risks are rarely independent, and generally have a degree of interaction. By considering this interaction the more accurate evaluation of portfolio selection can be achieved. The purpose of this study is to provide a framework for selecting project portfolios by considering the triple interaction between projects for the first time using the correlation coefficient and the theory of cross-information for the risk factors affecting them. Design/methodology/approach: First, this research identifies the most critical risks based on the literature review, project management body of knowledge and the relevant experts' opinions. Then, a questionnaire was distributed among 30 experts to quantify the identified risk criteria .The identified risks that are included 11 risks are in the categories of “technical”, “external”, “organizational” and “project management”. Then theses risks are placed in to the “cost”, “time” and “quality” classification. By considering the individual project risk, the projects which their risks were higher than the allowable limit, were not able to compete in the portfolio. Also, the pairwise and triple-wise interaction of the projects based on effective criteria caused that the projects which provoke risks synergies in the portfolio to be prevented from being together. By analyzing risks, the pairwise interaction effects between projects are calculated using Spearman's correlation coefficient and for the first time the triple interaction effects between projects are calculated using theory of cross-information to discover more precisely the effect of factors on each other. Finally, the modeling in the form of a case study based on integer linear programming along with two goals, “maximize IRR” and “maximize the number of projects in the portfolio”, are accurately assessed to evaluate the research validity. Findings: The problem of project portfolio is the selection of a subset of proposed projects according to the strategic goals of the organization and the associated constraints. This paper provides a framework for selecting project portfolios by considering the triple interaction between projects for the first time. The results show that considering pairwise and triple-wise interaction instead of individual pairwise interaction comprise different answers. This result leads to discovering the relationship which can not be identified just with the pairwise interaction. Research limitations/implications: In this research the risk criteria are considered generally, while, in specific projects it can be used specific criteria. Using the meta-heuristic methods when the problem dimensions are increased is another area for future research. In addition, fuzzy methods and stochastic subject in order to quantify the risk criteria could be considered. Besides, this paper considers risks with negative aspect for project portfolio selection, while, in future research suggested that the risks with aspect of the positive are considered as well. Practical implications: One of the most important application of this paper is for project-oriented companies that are involved in doing multiple projects simultaneously. The results of this paper are useful for these companies for risk reduction in selecting and performing their projects. Social implications: This paper considers the most important risks affecting project execution. These risks include external risks of organization as well as internal and technical risks of organization. So, the paper helps organizations for the most appropriate selection of projects that could have benefits for organization and also society. Originality/value: In the literature, there are various methods that researchers have considered for risk management. Most of these studies don’t consider interactions between projects or simply they considered only pairwise interaction. The main purpose of this study is to consider a higher level of interactions that is triple interactions that not considered in the literature. The results show that considering triple-wise interaction instead of individual pairwise interaction comprise different and better results. [ABSTRACT FROM AUTHOR]

Purpose: The main purpose of this paper is to propose a multi-objective model for assigning service/product to clustered customers. The main practical objectives of this model from the perspective of the bank are reduced cost and risk and increased customer satisfaction. Design/methodology/approach: In this paper, five indicators of recency, frequency, monetary, loan and deferred have been identified and customers have been clustered, accordingly using K-means approach. Then, a three-objective mathematical model has been designed to assign optimal service/product as response to customer. Finally the model has been solved by simulation based optimization. Findings: In the case study, all information about five characteristics of customers was extracted from the database, 31953 customers were placed in seven clusters and the validity of these clusters was measured. A three-objective mathematical model was designed based on the characteristics of 13 types of bank products/services. Then, the simulation modeling solutions were improved using the simulated annealing algorithm. In this study, Weka and R-Studio, Arena and Longo were used for data mining, simulation and optimization, respectively. Research limitations/implications: The limitations of this study include inability of simulation instruments for drawing, solving all probable states (more scenarios) and solving the model for those states. It is recommended to develop the mathematical model with respect to customer, so that after problem solving, the bank would be able to make decision on providing services and products to its customers. Simultaneously, the objective functions would be fitted within their most reasonable states and ultimately, using a model, the parameters related to each product can be set for the new customer referring to the bank. Practical implications: Products/services were assigned according to customer needs in a way that cost and risk were reduced and the utility of assignment was increased through the proposed model and simulating the behavior of each cluster of customers. Social implications: Paradigm shift in the banking industry is changing from e-banking to digital banking. In digital banking, assigning/customizing products/services, regarding the needs of customers, is very difficult .The banking industry is not well equipped to respond to the digital banking expectations of most consumers. One of the most important challenges of banks is recognizing customers, clustering and assigning a service/product to each of the different clusters. The main policy in the banking industry is to increase customer satisfaction and reduce cost and risk in sales service. Therefore, each customer should have a dedicated service/product. Originality/value: In this paper, authors attempted to use one of the clustering approaches in multiobjective programming. In addition, they proposed an approach for assigning product/service to customer by simulating and analyzing the behavior of each customer cluster. [ABSTRACT FROM AUTHOR]

Purpose: This article aims to develop an integrated production-inventory-vehicle routing model for deteriorating products in a green supply chain considering environmental impacts. The objective is to maximize the profit of selling products considering the costs of production, setup, inventory holding, distribution, vehicle routing, transportation, and fuel and environmental pollutants. Design/methodology/approach: Intending to integrate the supply chain policies, the model aims to maximize the total profit of producers and wholesalers in a horizontal collaboration. The model is formulated to mixed-integer linear programming (MILP). A set of deteriorating products with a shelf life is considered. The quality of the products decreases over time. There is also a fixed deterioration rate in each period. A discounting policy is considered for producers and wholesalers. The model is coded using IBM ILOG CPLEX. Three examples with different dimensions are solved in two centralized and decentralized versions. The sensitivity of demand and holing cost parameters are analyzed. Findings: The results of solving the model in both centralized and decentralized modes emphasize increasing profits by integrating the supply chain decisions. By comparing the results of solving the model in both centralized and decentralized modes, the sales revenue in the wholesalers in the decentralized mode has increased by more than 30% in all three sample issues when price discount is possible. However, the revenue from the normal sales of wholesalers is more concentrated than decentralized. Discounted sales revenue and normal sales revenue of manufacturers in the centralized system also increased by more than 10% and 70%, respectively, compared to the decentralized system. Research limitations/implications: Although the demand and many other parameters such as cost parameters, and production rate are affected by many Exogenous factors, and so, are not deterministic in reality, we assume that the demand is deterministic. The problem is solved for small and medium dimension samples. Owing to the dimension of real case samples, the development of appropriate algorithms for solving large dimension samples is recommended. Practical implications: The proposed model is based on the study of a group of agricultural products from production to distribution, which can be implemented for a real case study. This research not only impacts businesses and the economy but also proposes a model to build effective collaboration between manufacturers and wholesalers in order to increase profitability. Social implications: This research tries to integrate the decision-making in a supply chain in order to improve the profit which in turn improves the business and increases customer satisfaction. The model considers the waste of the deteriorating products which means it considers the destructive effects of waste on the environment. Fuel consumption as a factor that harms the environment and depletes nonrenewable resources has also been taken into account. Moreover, the possibility of price discounting can lead to profit increase, waste decrease, and satisfaction of economic or low-income customers. Considering the mentioned factors are substantial to a sustainable supply chain. Originality/value: This paper presents a mathematical model (MILP) for a supply chain of deteriorating items such as agricultural products. Due to the existing unequal and disproportionate volume for transporting deteriorating products between producers and wholesalers, the transportation fleet is considered heterogeneous. The price discount policy is considered possible in order to increase the demand level and total profit and decrease the total waste. Environmental considerations in the form of a reduction in fuel consumption and pollutants in routing have been taken into account. A comparison of centralized and decentralized systems has also been performed. [ABSTRACT FROM AUTHOR]