Allameh Tabataba'i UniversityIndustrial Management Studies2251-8029154620170923Mapping Sustainable Production Model Using ISM and Fuzzy DEMATELMapping Sustainable Production Model Using ISM and Fuzzy DEMATEL126798610.22054/jims.2017.7986FAAdelAzarAliRajabzadeh Ghatromi0000-0002-8470-3568AtiehAkhavanJournal Article20151111Measuring sustainable production indicators is becoming an important environmental activity due to government directives and increasing awareness among the people to protect the environment and reduce waste. Sustainable production indicators can be used to evaluate the effect of different production and management activities and as a result, a reliable mechanism will be created for monitoring sustainable production performance in achieving company's sustainability. The purpose of this paper is to enhance the level of sustainability in Isfahan oil refinery through identifying sustainable production indicators and determining the relationships between them in order to develop sustainable production model and also determining the indicators effects intensity on each other. After reviewing related literature and interviewing with experts, 12 sustainable production indicators in the refinery are identified. Then, using ISM technique relationship between indicators are determined. Also we used fuzzy DEMATEL to determine the intensities of relationships. The results show that implementation of supervision and control, resources with high productivity, technology with high productivity, and optimizing the production schedule to improve productivity are the main indicators in achieving sustainable production in the refineryMeasuring sustainable production indicators is becoming an important environmental activity due to government directives and increasing awareness among the people to protect the environment and reduce waste. Sustainable production indicators can be used to evaluate the effect of different production and management activities and as a result, a reliable mechanism will be created for monitoring sustainable production performance in achieving company's sustainability. The purpose of this paper is to enhance the level of sustainability in Isfahan oil refinery through identifying sustainable production indicators and determining the relationships between them in order to develop sustainable production model and also determining the indicators effects intensity on each other. After reviewing related literature and interviewing with experts, 12 sustainable production indicators in the refinery are identified. Then, using ISM technique relationship between indicators are determined. Also we used fuzzy DEMATEL to determine the intensities of relationships. The results show that implementation of supervision and control, resources with high productivity, technology with high productivity, and optimizing the production schedule to improve productivity are the main indicators in achieving sustainable production in the refineryhttps://jims.atu.ac.ir/article_7986_59041f81111d76e6aadf40d531840e1f.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-8029154620170923Analysis of the Relationship between Supply Chain Quality Management Factors in Gas Industry with Fuzzy Interpretive Structural Modeling and Path AnalysisAnalysis of the Relationship between Supply Chain Quality Management Factors in Gas Industry with Fuzzy Interpretive Structural Modeling and Path Analysis2755798710.22054/jims.2017.7987FAMehdiAjalliEzatollahAsgharizadehHosseinSafariImanGhasemian SahebiJournal Article20160117Competition of today's organizations in the supply chain has increased by growing the level of the competitiveness caused by globalization, and is included all chain members and external organizations. Intra-organizational perspectives about quality have some limitations; therefore, manufacturers should pay attention to inter-organizational approaches of quality such as supply chain quality management (SCQM). SCQM will enable the manufacturing companies to satisfy their customers' needs in a competitive market. In this study, after identifying the structure of supply chain management and quality management operation through comprehensive review of the literature, a comprehensive and conceptual definition about supply chain quality management (SCQM) and finally after studying its dimensions, a conceptual framework with 7 factors are presented. Relationship and sequencing of these factors determined by fuzzy interpretive structural modeling (ISM). In this regard, after the assessment, these factors were placed in five levels. Then the obtained structural model confirmed by using path analysis. The proposed model can help the gas industry in implementation of quality management in their supply chain to achieve competitive advantages and satisfy the customer needs betterCompetition of today's organizations in the supply chain has increased by growing the level of the competitiveness caused by globalization, and is included all chain members and external organizations. Intra-organizational perspectives about quality have some limitations; therefore, manufacturers should pay attention to inter-organizational approaches of quality such as supply chain quality management (SCQM). SCQM will enable the manufacturing companies to satisfy their customers' needs in a competitive market. In this study, after identifying the structure of supply chain management and quality management operation through comprehensive review of the literature, a comprehensive and conceptual definition about supply chain quality management (SCQM) and finally after studying its dimensions, a conceptual framework with 7 factors are presented. Relationship and sequencing of these factors determined by fuzzy interpretive structural modeling (ISM). In this regard, after the assessment, these factors were placed in five levels. Then the obtained structural model confirmed by using path analysis. The proposed model can help the gas industry in implementation of quality management in their supply chain to achieve competitive advantages and satisfy the customer needs betterhttps://jims.atu.ac.ir/article_7987_fd339b83c730042430b753e64cb7d995.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-8029154620170923Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation TechniqueDeveloping and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation Technique5771798810.22054/jims.2017.7988FAMohammad SaeedCompanyParhamAzimiJournal Article20151104In this study, the use of simulation technique in bi-objective optimization of assembly line balancing problem has been studied. The aim of this paper is to determine optimal allocation of human resource and equipment to parallel workstations in order to minimize the cost of adding equipment and manpower among the stations and maximize the production output. In other words, with optimal use of resources, production output is maximized and therefore productivity become maximum. To this end, with optimization via simulation, the production line process is simulated in the form of a simulation model in the ED software. After validating the simulation model using design of experiment, various scenarios designed and run in the simulation model. Possible results for human resource and equipment variables, obtained by genetic algorithm are shown in a Pareto chart and have compared with the production line current situationIn this study, the use of simulation technique in bi-objective optimization of assembly line balancing problem has been studied. The aim of this paper is to determine optimal allocation of human resource and equipment to parallel workstations in order to minimize the cost of adding equipment and manpower among the stations and maximize the production output. In other words, with optimal use of resources, production output is maximized and therefore productivity become maximum. To this end, with optimization via simulation, the production line process is simulated in the form of a simulation model in the ED software. After validating the simulation model using design of experiment, various scenarios designed and run in the simulation model. Possible results for human resource and equipment variables, obtained by genetic algorithm are shown in a Pareto chart and have compared with the production line current situationhttps://jims.atu.ac.ir/article_7988_90c3f71bd16b80e3daf0bf0b8c828f5a.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-8029154620170923Providing New Multi-Component Data Envelopment Analysis to Evaluate Efficiency of Bank BranchesProviding New Multi-Component Data Envelopment Analysis to Evaluate Efficiency of Bank Branches7396798910.22054/jims.2017.7989FAMoslemNilchi,MohammadesmaeilFadaeinejadSeyyed HosseinRazavi-HajiaghaAhmadBadriJournal Article20160202Looking at the economic definition of efficiency as optimal use of resources to produce possible maximum output, it can be understood the importance of this concept in management systems. Basically, Managers are trying to meet the satisfaction of all their stakeholders by optimally utilize of their resources to produce outputs. Due to high cost of holding money this point has more importance to the banking industry in Iran. In this paper, by looking at the structure of bank activities in Iran, a model with five different parts is provided that depicts the flow of affairs in banks. A mathematical model based on data envelopment analysis is presented to evaluate the efficiency of proposed structure and by using fuzzy approach, a method has been proposed to solve it. The results of applying the proposed model to 210 branches of one bank show that despite relative acceptable efficiency in resource attracting, and management, the efficiency of service, resource allocation and profitability parts are facing with important problemLooking at the economic definition of efficiency as optimal use of resources to produce possible maximum output, it can be understood the importance of this concept in management systems. Basically, Managers are trying to meet the satisfaction of all their stakeholders by optimally utilize of their resources to produce outputs. Due to high cost of holding money this point has more importance to the banking industry in Iran. In this paper, by looking at the structure of bank activities in Iran, a model with five different parts is provided that depicts the flow of affairs in banks. A mathematical model based on data envelopment analysis is presented to evaluate the efficiency of proposed structure and by using fuzzy approach, a method has been proposed to solve it. The results of applying the proposed model to 210 branches of one bank show that despite relative acceptable efficiency in resource attracting, and management, the efficiency of service, resource allocation and profitability parts are facing with important problemhttps://jims.atu.ac.ir/article_7989_f38d2b861c9a2d77c363804542946396.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-8029154620170923A Hybrid Algorithm for Solving Location and Routing Multi-Commodity Problems with Cross-Docking in the Supply ChainA Hybrid Algorithm for Solving Location and Routing Multi-Commodity Problems with Cross-Docking in the Supply Chain97134799010.22054/jims.2017.7990FAParvizFattahiMaliheMasomiJavadBehnamianJournal Article20151214Location-Routing problem with Cross-docking is as a New Research Area for Distribution Networks in The supply chains. The purpose of this paper is to simultaneously design a location for cross-docking center and routing vehicles due to the system cost minimization which, is known as an NP-hard problem. This paper presents a two-stage mixed-integer programming (MIP) model for the location-routing multi-commodity problem with cross-docking due to potential applications in the distribution networks. The principal innovation of this paper includes multiple commodities and its solution method as a hybrid algorithm based on the artificial immune system (AIS) and artificial fish swarm (AFS) algorithms. Also, assumptions are given in the proposed model that distinguishes it from the models are presented in this area. Finally, to evaluate the efficiency of the proposed algorithm small and large-scale test problems are randomly generated and the proposed MIP model solved by artificial immune system (AIS) and artificial fish swarm (AFS) and a sample algorithm and then compared with each other. The computational results for different problems show that the proposed hybrid algorithm performs well and converges fast to reasonable solutionsLocation-Routing problem with Cross-docking is as a New Research Area for Distribution Networks in The supply chains. The purpose of this paper is to simultaneously design a location for cross-docking center and routing vehicles due to the system cost minimization which, is known as an NP-hard problem. This paper presents a two-stage mixed-integer programming (MIP) model for the location-routing multi-commodity problem with cross-docking due to potential applications in the distribution networks. The principal innovation of this paper includes multiple commodities and its solution method as a hybrid algorithm based on the artificial immune system (AIS) and artificial fish swarm (AFS) algorithms. Also, assumptions are given in the proposed model that distinguishes it from the models are presented in this area. Finally, to evaluate the efficiency of the proposed algorithm small and large-scale test problems are randomly generated and the proposed MIP model solved by artificial immune system (AIS) and artificial fish swarm (AFS) and a sample algorithm and then compared with each other. The computational results for different problems show that the proposed hybrid algorithm performs well and converges fast to reasonable solutionshttps://jims.atu.ac.ir/article_7990_25790d56050cbb4cf4d39e25698d6f37.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-8029154620170923Explanation of Manufacturing Competitiveness Strategies Using Fuzzy Quality Function Deployment and Interpretive Structure Modeling TechniquesExplanation of Manufacturing Competitiveness Strategies Using Fuzzy Quality Function Deployment and Interpretive Structure Modeling Techniques135155799110.22054/jims.2017.7991FAMohammadValipour KhatirZeinolabedinAkbarzadehJournal Article20150728Manufacturing strategies as the most common internal controllable capability of companies, play a key role in achieving sustainable competitive advantage. The identification and development of these strategies requires a clear understanding of their role in gaining competitive advantage and their mutual effects on each other. In this regard, this paper has presented practical approach to evaluate manufacturing strategies using fuzzy Quality Function Deployment (QFD) and Interpretive Structure Modeling (ISM) techniques. The results of fuzzy QFD show that the studied company has suitable situation in competitive factors contains facilities for sale, the product variety and production technology, while the cost and delivery speed are not desirable. In the following, the ISM technique was used to prioritize the resource allocation in manufacturing strategies; the findings show that human resource empowerment has the highest implementation priority in the Foladin Zob Amol (FZA) companyManufacturing strategies as the most common internal controllable capability of companies, play a key role in achieving sustainable competitive advantage. The identification and development of these strategies requires a clear understanding of their role in gaining competitive advantage and their mutual effects on each other. In this regard, this paper has presented practical approach to evaluate manufacturing strategies using fuzzy Quality Function Deployment (QFD) and Interpretive Structure Modeling (ISM) techniques. The results of fuzzy QFD show that the studied company has suitable situation in competitive factors contains facilities for sale, the product variety and production technology, while the cost and delivery speed are not desirable. In the following, the ISM technique was used to prioritize the resource allocation in manufacturing strategies; the findings show that human resource empowerment has the highest implementation priority in the Foladin Zob Amol (FZA) companyhttps://jims.atu.ac.ir/article_7991_454bd7db00244081844ae0346b14754c.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-8029154620170923A Multi Objective Model for Reverse Logistic Considering DiscountA Multi Objective Model for Reverse Logistic Considering Discount157181799210.22054/jims.2017.7992FAMaryamAziziAbolfazlKazemiAlirezaAlinezhadJournal Article20150218Reverse logistics as a new approach and attitude in the area of logistics is one of the new trends in logistics management, recycling, and or reuse of products. Logistics network design in the forward and reverse mode is one of the most important issues that forms the strategic dimension of supply chain design. In this paper we propose a mixed integer linear programming (MILP) model for reverse logistics problem. In the proposed model costs of facilities construction, transportation and procurement from suppliers are minimized and importance of suppliers are maximized. Since the proposed model is NP-hard, we use NSGA-II and NRGA algorithms to solve the problem.Reverse logistics as a new approach and attitude in the area of logistics is one of the new trends in logistics management, recycling, and or reuse of products. Logistics network design in the forward and reverse mode is one of the most important issues that forms the strategic dimension of supply chain design. In this paper we propose a mixed integer linear programming (MILP) model for reverse logistics problem. In the proposed model costs of facilities construction, transportation and procurement from suppliers are minimized and importance of suppliers are maximized. Since the proposed model is NP-hard, we use NSGA-II and NRGA algorithms to solve the problem.https://jims.atu.ac.ir/article_7992_436eab39cb11b606120d5f06bc804149.pdf