Shahid Beheshti UniversityJournal of Industrial Management Perspective2251-98746120160521Rational Decision-Making in Public Sector: How Different Countries Use Operations Research Models in Their Public AdministrationsRational Decision-Making in Public Sector: How Different Countries Use Operations Research Models in Their Public Administrations93087234FAAliRezaeianProfessor, Shahid Beheshti University.AliAbdollahi NeisianiPh.D, Research Institute of Hawzah and University.Journal Article20190924"Rational Decision-Making" is a management topic that argues about decision-making in determined and scientific process especially by "Operation Research". However, using operation research models in public sector has its typical Proponent and an opponent. Moreover, Iran is one the most five countries that has conducted scientific studies about operation research. The study had analyzed twenty-nine case studies reporting different operation research techniques in different governments. The result claims that operation research models have two aspects of managerial effects: Efficiency and Effectiveness. They are efficient in managing public technologies and tools (like distributions technologies etc.) but their effectiveness on public administration is dubious. Studying these kinds of case studies is appealing and practical for researchers to have a sounder view of the role that operation researches play in public issues. "Rational Decision-Making" is a management topic that argues about decision-making in determined and scientific process especially by "Operation Research". However, using operation research models in public sector has its typical Proponent and an opponent. Moreover, Iran is one the most five countries that has conducted scientific studies about operation research. The study had analyzed twenty-nine case studies reporting different operation research techniques in different governments. The result claims that operation research models have two aspects of managerial effects: Efficiency and Effectiveness. They are efficient in managing public technologies and tools (like distributions technologies etc.) but their effectiveness on public administration is dubious. Studying these kinds of case studies is appealing and practical for researchers to have a sounder view of the role that operation researches play in public issues. https://jimp.sbu.ac.ir/article_87234_52b5d18ab124867653a73023d68c5e68.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98746120160521A Simulation-based Optimization Model for Integration of Cash and Material-Flow Planning within a Supply ChainA Simulation-based Optimization Model for Integration of Cash and Material-Flow Planning within a Supply Chain315187235FAEhsanBadakhshanM.S Student, Iran University of Science & Technology.Mir SamanPishvaeeAssistant Professor, Iran University of Science and Technology.HadiSahebiAssistant ProfessorIran University of Science&Technology.Journal Article20190924The study aims to use simulation-based optimization methodology for modeling Automative-wheel rig supply chain. Simulation-based optimization approach consists of both simulation and optimization models that transform information repetitively until stop criterion is fulfilled. Simulation technique is based on system dynamics and optimization comprised of multi objective optimization with the aim of minimizing cost, minimizing cash conversion cycle as well as maximizing inventory turnover for two members of supply chain which is solved by genetics algorithm. Powersim Studio 10 is utilized to combine simulation and optimization models. After using the methodology and acquiring optimal solutions, decision maker chooses the optimal solution based on priority discussed for members. The study claims optimal solutions generated by simulation-based optimization are superior in comparison with scenario making in system dynamics model.The study aims to use simulation-based optimization methodology for modeling Automative-wheel rig supply chain. Simulation-based optimization approach consists of both simulation and optimization models that transform information repetitively until stop criterion is fulfilled. Simulation technique is based on system dynamics and optimization comprised of multi objective optimization with the aim of minimizing cost, minimizing cash conversion cycle as well as maximizing inventory turnover for two members of supply chain which is solved by genetics algorithm. Powersim Studio 10 is utilized to combine simulation and optimization models. After using the methodology and acquiring optimal solutions, decision maker chooses the optimal solution based on priority discussed for members. The study claims optimal solutions generated by simulation-based optimization are superior in comparison with scenario making in system dynamics model.https://jimp.sbu.ac.ir/article_87235_694306fdfe0ace5a3e1d2efa27ead123.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98746120160521Barriers by using an Integrated ISM-fuzzy MICMAC ApproachBarriers by using an Integrated ISM-fuzzy MICMAC Approach537487236FAPayamShojaeiAssistant Professor, Shiraz University.Journal Article20190924This paper intended to identify and prioritize of Knowledge Management Adaptation Barriers in sanitary ware industries Supply Chain. In the first step these barriers were identified through reviewing literature and by means of Content Validity of the factors - extracted from sanitary ware industries. Then, the inter relationship among the barriers were determined by Interpretive Structural Modeling and Fuzzy MICMAC. Finally, the dependence and driving power of those factors were recognized on each other. According to the results, Lack of top management commitment towards KM adoption in SC, Lack of education and training to SC members and Lack of strategic planning regarding KM adoption in SC have most influences, respectively. This model helps managers to identify the barriers of the industry before applying KM adapting strategies considering a holistic approach so that they can implement the most suitable approach to adapt KM in SC.This paper intended to identify and prioritize of Knowledge Management Adaptation Barriers in sanitary ware industries Supply Chain. In the first step these barriers were identified through reviewing literature and by means of Content Validity of the factors - extracted from sanitary ware industries. Then, the inter relationship among the barriers were determined by Interpretive Structural Modeling and Fuzzy MICMAC. Finally, the dependence and driving power of those factors were recognized on each other. According to the results, Lack of top management commitment towards KM adoption in SC, Lack of education and training to SC members and Lack of strategic planning regarding KM adoption in SC have most influences, respectively. This model helps managers to identify the barriers of the industry before applying KM adapting strategies considering a holistic approach so that they can implement the most suitable approach to adapt KM in SC.https://jimp.sbu.ac.ir/article_87236_515443b3907f382178e695c476fa091d.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98746120160521Taxonomy of Manufacturing Strategies and Its Underling Dimensions in IranTaxonomy of Manufacturing Strategies and Its Underling Dimensions in Iran759687237FABaharehMollazade YazdaniMS. Student, Ferdowsi University of Mashhad.Ali RezaPooyaAssociate professor, Ferdowsi University of Mashhad.0000-0001-6000-3535AhmadTavakoliAssistant Professor, Ferdowsi University of Mashhad.Journal Article20190924Manufacturing strategy for any organization and managers is an important fact, could have a significant impact on organizational success, and could improve the area of expertise within the organization. Considering the importance of this issue, it is clear that the production strategy has a significant role in the competitive situation. Due to the enormous environmental changes, factory production strategies were to quickly change. Most studies in the field of manufacturing. From the other side production strategies focus on content and process of manufacturing strategy and few studies deals with this area.The aim of this study was to provide a taxonomy of manufacturing strategies.To achieve this purpose, a sample of 100 manufacturing plants located in “Mashhad Industrial Zone” was evaluated. After validity and reliability test of data gatherings tool, we identified four different clusters for manufacturing strategy (each of them emphasized different objectives, through Applying cluster analysis).Manufacturing strategy for any organization and managers is an important fact, could have a significant impact on organizational success, and could improve the area of expertise within the organization. Considering the importance of this issue, it is clear that the production strategy has a significant role in the competitive situation. Due to the enormous environmental changes, factory production strategies were to quickly change. Most studies in the field of manufacturing. From the other side production strategies focus on content and process of manufacturing strategy and few studies deals with this area.The aim of this study was to provide a taxonomy of manufacturing strategies.To achieve this purpose, a sample of 100 manufacturing plants located in “Mashhad Industrial Zone” was evaluated. After validity and reliability test of data gatherings tool, we identified four different clusters for manufacturing strategy (each of them emphasized different objectives, through Applying cluster analysis).https://jimp.sbu.ac.ir/article_87237_8dda682abdd70658d8b6d61cc0343a40.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98746120160521An Integrated Model for Analysis and Improvement of Scheduling “Flexible Manufacturing Systems (FMS)” and Dispatching “Automated Guided Vehicle (AGV)” ProblemsAn Integrated Model for Analysis and Improvement of Scheduling “Flexible Manufacturing Systems (FMS)” and Dispatching “Automated Guided Vehicle (AGV)” Problems9712787238FASayedeh MahrokhSajadiM.A. Kar Higher Education Institute, Qazvin.AshkanAyoughAssistant Professor, Shahid Beheshti University.0000-0001-7706-2101Mir MahdiSayed IsfahaniProfessor, Amirkabir University of Technology.Journal Article20190924Flexible manufacturing system scheduling is one of the most important and practical topics in manufacturing systems scheduling problems which could be affected by many features and subproblems. Considering them in FMS scheduling model in an integrated way leads to a feasible scheduling, and the model will not only be closer to the real settings in FMS environment but also its application in manufacturing systems will increase. This contribution takes into account manufacturing tasks and AGV dispatching scheduling problems simultaneously (in addition involving 2 subproblemsi machine loading, ii part routing problems implicitly). It provided a mathematical nonlinear mixed integer programming model. Having solved the model via Genetic Algorithm leaded to suboptimal solutions. Solving various examples, defining Lower and Upper Bounds and comparing them, demonstrate the quality of the solutions.Flexible manufacturing system scheduling is one of the most important and practical topics in manufacturing systems scheduling problems which could be affected by many features and subproblems. Considering them in FMS scheduling model in an integrated way leads to a feasible scheduling, and the model will not only be closer to the real settings in FMS environment but also its application in manufacturing systems will increase. This contribution takes into account manufacturing tasks and AGV dispatching scheduling problems simultaneously (in addition involving 2 subproblemsi machine loading, ii part routing problems implicitly). It provided a mathematical nonlinear mixed integer programming model. Having solved the model via Genetic Algorithm leaded to suboptimal solutions. Solving various examples, defining Lower and Upper Bounds and comparing them, demonstrate the quality of the solutions.https://jimp.sbu.ac.ir/article_87238_622592c1b7e370fc15e028885df56913.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98746120160521Design a Model to Assess the Implementation of Six Sigma in Aystavyn Co.Design a Model to Assess the Implementation of Six Sigma in Aystavyn Co.12915187239FAAbbasAbbasiAssociate Professor, Shiraz University.MoslemAlimohammadloAssistant Professor, Shiraz University.MaryamSafiniaMA Student, Shiraz University.Journal Article20190924In recent years, a growing desire has emerged to use Six Sigma techniques. Six Sigma can win companies to improve quality and reduce expenses in today's competitive world. But the important thing is that this tool should be used in organizations that are prepared; unprepartion for Six Sigma implementation leads to frustration among staff at different organizational levels and finally creates resistance and opposition against the project. The aim of this research is to assess the readiness of companies to provide Six Sigma implementation. For this purpose, first readiness indicators were identified for the implementation of Six Sigma, then to determine the relationship between these indicators interpretative structural modeling was applied. Finnaly through ANP weight of indictors were determined.The results showed that the "leadership and vision", "right choice" and "management improvement process" are more important.In recent years, a growing desire has emerged to use Six Sigma techniques. Six Sigma can win companies to improve quality and reduce expenses in today's competitive world. But the important thing is that this tool should be used in organizations that are prepared; unprepartion for Six Sigma implementation leads to frustration among staff at different organizational levels and finally creates resistance and opposition against the project. The aim of this research is to assess the readiness of companies to provide Six Sigma implementation. For this purpose, first readiness indicators were identified for the implementation of Six Sigma, then to determine the relationship between these indicators interpretative structural modeling was applied. Finnaly through ANP weight of indictors were determined.The results showed that the "leadership and vision", "right choice" and "management improvement process" are more important.https://jimp.sbu.ac.ir/article_87239_7726bb6f366b520115c6619e18c13d72.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98746120160521Multi-Objective Mathematical Model for Supplier Selection and Order Allocation under Multi-Item ConditionMulti-Objective Mathematical Model for Supplier Selection and Order Allocation under Multi-Item Condition15317987240FAMohammad SadeghHorriAssistant Professor, Islamic Azad University, Arak.AssiehAnjomshoaMA., Islamic Azad University, Arak.Journal Article20190924Suppliers play an important role in reducing costs and increasing product quality. Accordingly, assessment and selection of suppliers based on desired criteria, has become one of the fundamental headquarters of decision-making in supply chain management. Since now the suppliers have a significant impact on the success or failure of a company, purchases that previously was considered as a mere tactical tool, now is known as a strategic task. So, considering the importance of the subject, the aim of this study is providing a fuzzy approach in order to select multi-product and multi-purpose supplier and determine the economic order quantity in supply chain. Objectives considered in the above model include minimizing the total cost (including the purchase cost, cost of returned goods, control and order costs), maximizing quality (including the product’s quality and services provided by suppliers, and maximizing the amount of products received from suppliers on-time. To resolve the above issue, the Lp-Metric and Zimmermann fuzzy approach -due to dealing with uncertainty and getting more flexibility of decision-making- are applied. The results represent the best suppliers to purchase the products from and also optimized allocation to each of them.Suppliers play an important role in reducing costs and increasing product quality. Accordingly, assessment and selection of suppliers based on desired criteria, has become one of the fundamental headquarters of decision-making in supply chain management. Since now the suppliers have a significant impact on the success or failure of a company, purchases that previously was considered as a mere tactical tool, now is known as a strategic task. So, considering the importance of the subject, the aim of this study is providing a fuzzy approach in order to select multi-product and multi-purpose supplier and determine the economic order quantity in supply chain. Objectives considered in the above model include minimizing the total cost (including the purchase cost, cost of returned goods, control and order costs), maximizing quality (including the product’s quality and services provided by suppliers, and maximizing the amount of products received from suppliers on-time. To resolve the above issue, the Lp-Metric and Zimmermann fuzzy approach -due to dealing with uncertainty and getting more flexibility of decision-making- are applied. The results represent the best suppliers to purchase the products from and also optimized allocation to each of them.https://jimp.sbu.ac.ir/article_87240_9895f3bc1f1865907dbe86c588f79d8a.pdf