Shahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222Power Industry’s Life Cycle Simulation using Agent Based ModelingPower Industry’s Life Cycle Simulation using Agent Based Modeling93510263810.52547/jimp.12.4.9FAMohamad FarahbakhshPhD student in Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.Mahmoud ModiriAssistant Professor, Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.Seyed Mohammad Ali Khatami FirozabadiProfessor, Department of Industrial Management, Allameh Tabatabai University, Tehran, Iran.Alireza PuorebrahimiAssistant Professor, Department of Industrial Management, Karaj Branch, Islamic Azad University, Alborz, Iran.Journal Article20220513In this paper we try to simulate the life cycle of the electricity industry using the agent-based simulation method. For this purpose, 5 Agents were mentioned and they were simulated by Anylogic software .Then, four scenarios were investigated with experts' opinions. In the first scenario, it is assumed that the attractiveness of gas power and combined has been reduced and the attractiveness of the other two power has been added, the result of this scenario is the increase in hydroelectric power production, which is not cost effective due to the lack of water resources for the country. In the second scenario, with the arrival of a new technology, the household consumer decreased by 40%, and hydro and steam power with a capacity of 40% were working in the power generation cycle, the result of this scenario is the reduction of fuel consumption and also the shortage of electricity produced relative to the electricity consumption. In the third scenario, it is assumed that the consumption rate of all consumer factors has decreased, which results in the lack of investor factor investment. the fourth scenario assumes that all consumers' consumption is constant, as well as keeping the attractiveness developed by the government steady. As a result, the capacity of electricity generation has increased, but we are still facing power shortages.In this paper we try to simulate the life cycle of the electricity industry using the agent-based simulation method. For this purpose, 5 Agents were mentioned and they were simulated by Anylogic software .Then, four scenarios were investigated with experts' opinions. In the first scenario, it is assumed that the attractiveness of gas power and combined has been reduced and the attractiveness of the other two power has been added, the result of this scenario is the increase in hydroelectric power production, which is not cost effective due to the lack of water resources for the country. In the second scenario, with the arrival of a new technology, the household consumer decreased by 40%, and hydro and steam power with a capacity of 40% were working in the power generation cycle, the result of this scenario is the reduction of fuel consumption and also the shortage of electricity produced relative to the electricity consumption. In the third scenario, it is assumed that the consumption rate of all consumer factors has decreased, which results in the lack of investor factor investment. the fourth scenario assumes that all consumers' consumption is constant, as well as keeping the attractiveness developed by the government steady. As a result, the capacity of electricity generation has increased, but we are still facing power shortages.https://jimp.sbu.ac.ir/article_102638_ccf69fb7f6bc4383d15665ec6e2239b1.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222Proposing a Dynamic Two-Step Approach for Designing Supplier Development StrategyProposing a Dynamic Two-Step Approach for Designing Supplier Development Strategy376910231010.52547/jimp.12.4.37FAAzam Sadat KhaliliPh.D student, University of Isfahan.Majid EsmaelianAssociate Professor, University of Isfahan.Dariush MohamadiAssociate Professor, University of Isfahan.Journal Article20211002Supplier segmentation is the basis for the decisions of supply chain managers with the aim of managing and developing suppliers.<strong> </strong>The purpose of this study is to provide a dynamic approach to designing strategies for supplier development and management. In this research, a two-step approach has been used because the characteristics of purchased items play an important role in the design of these strategies. In the first stage, purchased items are classified according to purchasing portfolio matrix and proper criteria.Then, in the second stage suppliers of each purchased items group are segmented based on two dimensions such as willingness and capabilities. Finally, for each segment of suppliers in each class of purchased items, we provide suitable strategies for supplier development and management. In this work, we used the Delphi method on order to select the best criteria. Then, the criteria weight are determined using Best-Worst method. In the following, the purchased items and suppliers are positioned using MADM method (PROMETHEE). We tested this method for suppliers in a steel company, and the results are explained.Supplier segmentation is the basis for the decisions of supply chain managers with the aim of managing and developing suppliers.<strong> </strong>The purpose of this study is to provide a dynamic approach to designing strategies for supplier development and management. In this research, a two-step approach has been used because the characteristics of purchased items play an important role in the design of these strategies. In the first stage, purchased items are classified according to purchasing portfolio matrix and proper criteria.Then, in the second stage suppliers of each purchased items group are segmented based on two dimensions such as willingness and capabilities. Finally, for each segment of suppliers in each class of purchased items, we provide suitable strategies for supplier development and management. In this work, we used the Delphi method on order to select the best criteria. Then, the criteria weight are determined using Best-Worst method. In the following, the purchased items and suppliers are positioned using MADM method (PROMETHEE). We tested this method for suppliers in a steel company, and the results are explained.https://jimp.sbu.ac.ir/article_102310_9e31d96e0f5b065d041161fbad085823.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222Developing a Mathematical Model for Competitive Facility Location with Multiple Commodities and Multiple CompetitorsDeveloping a Mathematical Model for Competitive Facility Location with Multiple Commodities and Multiple Competitors719510249410.52547/jimp.12.4.71FASomayeh MalekiPhD student, Shahid Beheshti University.Akbar Alem TabrizProfessor, Shahid Beheshti University.0000-0002-4562-8032Davood TalebiAssistant Professor, Shahid Beheshti University.Alireza MoatameniAssociate Professor, Shahid Beheshti University.Journal Article20211201Facility location along with taking account the competition is a critical component of strategic planning. The location affects the competitiveness and market share of new entrants, in long-term. Because of the complications of location problems, most of the location models are faced whit many different limitations. In this paper a competitive facility location model with three competitors which produce two commodities is developed. The problem is modeled in the form of a location-price game. A bi-level model is developed to investigate the location and price. In location-pricing models, the location decision should come before the pricing game. From the second level and the use of Nash equilibrium, equilibrium will be obtained. In this paper,<strong> </strong>probabilistic costumer behavior with the help of exponential function is modeled. A metaheuristic based on tabu search is proposed to search the optimal location-price solution of the model. Findings show that changing the equilibrium price affect the profitability of new entry firms.Facility location along with taking account the competition is a critical component of strategic planning. The location affects the competitiveness and market share of new entrants, in long-term. Because of the complications of location problems, most of the location models are faced whit many different limitations. In this paper a competitive facility location model with three competitors which produce two commodities is developed. The problem is modeled in the form of a location-price game. A bi-level model is developed to investigate the location and price. In location-pricing models, the location decision should come before the pricing game. From the second level and the use of Nash equilibrium, equilibrium will be obtained. In this paper,<strong> </strong>probabilistic costumer behavior with the help of exponential function is modeled. A metaheuristic based on tabu search is proposed to search the optimal location-price solution of the model. Findings show that changing the equilibrium price affect the profitability of new entry firms.https://jimp.sbu.ac.ir/article_102494_bc40db2b85d9d21e2288b0613b2d5e42.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222Supply Chain Resilience Analysis Considering Disruption in the Natural Stone Industry Using a Discrete-Event Simulation ApproachSupply Chain Resilience Analysis Considering Disruption in the Natural Stone Industry Using a Discrete-Event Simulation Approach9712910265910.52547/jimp.12.97FAMojtaba Hajian HeidaryAssistant Professor, Allameh Tabatabai University.Maede MirzaaliyanMaster's student, Allameh Tabatabai University.Journal Article20220305In order to achieve competitive advantages in uncertain situations, one of the big challenges that organizations are faced is the risk reduction through creating resilient supply chains. Supply Chain resilience refers to the ability of supply chain to respond to disruptions. Disruption is an unpredictable event that has different internal and external sources such as natural disasters and operational risks. In this paper, a simulation model has been presented for analyzing the disruption in the natural stone industry supply chain in one of the stone factories in Iran using Arena simulation software. The simulation model has been run 100 times and the simulation time has been assumed to be one year. The validation of the model has been done by comparing the simulation results with actual information by calculating the mean absolute error. Moreover, some scenarios have been made for disruption management and resilience creation in the system. Then, the performance of each scenario was evaluated based on some criteria include fill rate, backorder cost and total cost. Finally, the redundancy scenario was chosen to be run in the real world. The results showed that a backup production line would be set up in the factory to make the system more resilient.In order to achieve competitive advantages in uncertain situations, one of the big challenges that organizations are faced is the risk reduction through creating resilient supply chains. Supply Chain resilience refers to the ability of supply chain to respond to disruptions. Disruption is an unpredictable event that has different internal and external sources such as natural disasters and operational risks. In this paper, a simulation model has been presented for analyzing the disruption in the natural stone industry supply chain in one of the stone factories in Iran using Arena simulation software. The simulation model has been run 100 times and the simulation time has been assumed to be one year. The validation of the model has been done by comparing the simulation results with actual information by calculating the mean absolute error. Moreover, some scenarios have been made for disruption management and resilience creation in the system. Then, the performance of each scenario was evaluated based on some criteria include fill rate, backorder cost and total cost. Finally, the redundancy scenario was chosen to be run in the real world. The results showed that a backup production line would be set up in the factory to make the system more resilient.https://jimp.sbu.ac.ir/article_102659_b1a8fe7c7abc77c7ead4ef96c630b8a5.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222A Simulation – Optimization Model of Network Failure Prone Manufacturing Systems with a Reliability-Based Maintenance and Revenue Sharing ApproachA Simulation – Optimization Model of Network Failure Prone Manufacturing Systems with a Reliability-Based Maintenance and Revenue Sharing Approach13115810232110.52547/jimp.12.4.131FAMehdi DeiranlouAssistant Professor, University of Bojnord.0000-0002-4153-8398Farnaz AzadjouBSc, Babol Noshirvani University of Technology.Seyed Mojtaba SajadiAssociate Professor, University of Tehran.0000-0002-2139-2053Journal Article20211210Due to the effect of random factors such as machine failure on the competitiveness of production organizations and the importance of production planning, failure-prone manufacturing systems have emerged to deal with uncertainty. In order to maintain a competitive market share and increase productivity and safety, industrial systems have resorted to a maintenance strategy to reduce failure rates and increased reliability. Increasing production capacity, providing more flexibility and ensuring customer satisfaction in terms of quantity, quality and timing have made the use of subcontracting with a revenue sharing approach a viable option in this study. In this research, a network of machines with relationship limitation and failure and accidental repair is considered. To prevent shortages, intermediate buffers and a final buffer are used. Another important parameter is determining the optimal frequency of preventive maintenance, which results in minimizing the cost of preventive and corrective maintenance and repairs. The goal is to determine the optimal production rate and preventive maintenance variables and subcontractor variables. Discrete-event-simulation is used for this purpose. After modeling in Arena, the best values of decision variables are obtained in the opt-quest platform, which leads to a 22.5% reduction in total system costs.Due to the effect of random factors such as machine failure on the competitiveness of production organizations and the importance of production planning, failure-prone manufacturing systems have emerged to deal with uncertainty. In order to maintain a competitive market share and increase productivity and safety, industrial systems have resorted to a maintenance strategy to reduce failure rates and increased reliability. Increasing production capacity, providing more flexibility and ensuring customer satisfaction in terms of quantity, quality and timing have made the use of subcontracting with a revenue sharing approach a viable option in this study. In this research, a network of machines with relationship limitation and failure and accidental repair is considered. To prevent shortages, intermediate buffers and a final buffer are used. Another important parameter is determining the optimal frequency of preventive maintenance, which results in minimizing the cost of preventive and corrective maintenance and repairs. The goal is to determine the optimal production rate and preventive maintenance variables and subcontractor variables. Discrete-event-simulation is used for this purpose. After modeling in Arena, the best values of decision variables are obtained in the opt-quest platform, which leads to a 22.5% reduction in total system costs.https://jimp.sbu.ac.ir/article_102321_c380655003a780e831f81df12b602c2f.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222Presenting a Model to Optimization Simulation of EFQM Excellence Model Approaches using System Dynamics and Genetic Algorithms in I.R.Iran Banking NetworkPresenting a Model to Optimization Simulation of EFQM Excellence Model Approaches using System Dynamics and Genetic Algorithms in I.R.Iran Banking Network15919810165710.52547/jimp.12.4.159FAHossein SafariProfessor, Universoty of Tehran .0000-0001-9232-1319Ali MohagharProfessor, Universoty of Tehran .0000-0002-9844-1714Ali Ebadi ZiaeiPh.D. Industrial Management, University of TehranAmir AzarfarPh.D. Industrial Management, University of TehranJournal Article20201203Nowadays, quality management is an important field for organizations, including the banking system, which faces fierce competition. Organizational Excellence Models serve as guides to help organizations improve their quality. The main aim of this study was to investigate the dynamic relationships between the approaches and criteria of the EFQM organizational excellence model and optimize the simulation of these relationships. To do this, we first identified the common approaches in the organizational excellence model and clustered them using the fuzzy clustering method. Next, we used the systems dynamics method of causal rings to discover the dynamic relationships between these approaches. Finally, using data from the banking system in Iran, we simulated cases and optimized the growth rate of organizational excellence in the sample over 20 years (2018-2019).Nowadays, quality management is an important field for organizations, including the banking system, which faces fierce competition. Organizational Excellence Models serve as guides to help organizations improve their quality. The main aim of this study was to investigate the dynamic relationships between the approaches and criteria of the EFQM organizational excellence model and optimize the simulation of these relationships. To do this, we first identified the common approaches in the organizational excellence model and clustered them using the fuzzy clustering method. Next, we used the systems dynamics method of causal rings to discover the dynamic relationships between these approaches. Finally, using data from the banking system in Iran, we simulated cases and optimized the growth rate of organizational excellence in the sample over 20 years (2018-2019).https://jimp.sbu.ac.ir/article_101657_621f5f9dba8380b847c52a6b8d7a3791.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222Analytical Review of the Construction Contractors' Challenges in the Contractual ClaimsAnalytical Review of the Construction Contractors' Challenges in the Contractual Claims19922110257710.52547/jimp.12.4.199FAAhad NazariAssociate Professor, Shahid Beheshti University.Majid Parchami JalalAssociate Professor, University of Tehran.Sasan Shahidi Nashroud KolaMaster, Mehr Alborz Institute of Higher Education.Shayan Hojat PanahMaster, Mehr Alborz Institute of Higher Education.Journal Article20210818Due to the uncertainties in the construction projects and their differences with the service and manufacturing industries in terms of scope of the work, environmental factors, executive and scheduling challenges, contractors and clients always face with significant damages, regarding contractual disputes. In such circumstances, it is essential to empower contractors in making contractual claims and managing the claims. The aim of this study is to identify contractors’ challenges in the claiming process and the way for dealing with these challenges. In this regard, these challenges along with the most important shortcomings of claims are identified, analyzed and prioritized. Research method including literature review, analysis of 16 claims in 4 projects, interviewing with ten experts and finally applying a questionnaire method, by obtaining 60 experts opinions about 38 challenges and the key shortcomings of the claim’s statements have been done. According to the research findings, 40% of the challenges are related to contractors and their internal organizational processes, 29% of the challenges are related to governmental organization and their rules, 21% of the challenges are related to clients and finally 10% of the challenges are related to the consultants and their monitoring systems.Due to the uncertainties in the construction projects and their differences with the service and manufacturing industries in terms of scope of the work, environmental factors, executive and scheduling challenges, contractors and clients always face with significant damages, regarding contractual disputes. In such circumstances, it is essential to empower contractors in making contractual claims and managing the claims. The aim of this study is to identify contractors’ challenges in the claiming process and the way for dealing with these challenges. In this regard, these challenges along with the most important shortcomings of claims are identified, analyzed and prioritized. Research method including literature review, analysis of 16 claims in 4 projects, interviewing with ten experts and finally applying a questionnaire method, by obtaining 60 experts opinions about 38 challenges and the key shortcomings of the claim’s statements have been done. According to the research findings, 40% of the challenges are related to contractors and their internal organizational processes, 29% of the challenges are related to governmental organization and their rules, 21% of the challenges are related to clients and finally 10% of the challenges are related to the consultants and their monitoring systems.https://jimp.sbu.ac.ir/article_102577_e07c28bf173587d0915fdc6c044ddb75.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222A Dynamic Production Planning Model Based on Optimization of a Hybrid Push/Pull System, Considering Demand UncertaintyA Dynamic Production Planning Model Based on Optimization of a Hybrid Push/Pull System, Considering Demand Uncertainty22325210214510.52547/jimp.12.4.223FAReyhane Azizi KharanghiPh.D student, University of Tehran.Hannan Amouzad MahdirajiAssistant Professor, University of Tehran.Mohammadreza Taghizadeh YazdiAssociate Professor, University of Tehran.Seyyed Hossein Razavi Haji AghaAssistant Professor, Khatam University.Journal Article20210617Given the vast, continuous and increasing changes in global markets and customer demand, the use of powerful and reliable tools to support decision makers is inevitable. For this purpose, in this research, we have tried to address the issue of production planning by considering the system dynamics and uncertainty in customer demand. The production system assumed in this model is a hybrid push-pull production system. By applying this approach, the proposed model is also adapted for a fully push or pull production system. Production planning is usually done in the medium term, and the decisions made at each stage of time will also affect future plans. Therefore, in the face of potential customer demand, the multi-stage stochastic programming method has been used in order to make decisions with a view to the entire time horizon. The purpose of the proposed model is to maximize profits through the optimal use of production capacity, appropriate pricing policies and material resource planning. Finally, the proposed model is examined through conventional numerical analyzes in the stochastic programming method.Given the vast, continuous and increasing changes in global markets and customer demand, the use of powerful and reliable tools to support decision makers is inevitable. For this purpose, in this research, we have tried to address the issue of production planning by considering the system dynamics and uncertainty in customer demand. The production system assumed in this model is a hybrid push-pull production system. By applying this approach, the proposed model is also adapted for a fully push or pull production system. Production planning is usually done in the medium term, and the decisions made at each stage of time will also affect future plans. Therefore, in the face of potential customer demand, the multi-stage stochastic programming method has been used in order to make decisions with a view to the entire time horizon. The purpose of the proposed model is to maximize profits through the optimal use of production capacity, appropriate pricing policies and material resource planning. Finally, the proposed model is examined through conventional numerical analyzes in the stochastic programming method.https://jimp.sbu.ac.ir/article_102145_199734d5cb7e265a0f33f4d99caefc36.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222Optimizing Truck Scheduling in Cross Docking System under Uncertainty, Using Simulation Technique (Case Study: Central Fruit and Vegetable Warehouse of Tehran Municipality)Optimizing Truck Scheduling in Cross Docking System under Uncertainty, Using Simulation Technique (Case Study: Central Fruit and Vegetable Warehouse of Tehran Municipality)25328710278510.52547/jimp.12.4.253FAMahziar TaghizadehPh. D student, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.Amir Abbas ShojaeiAssociate Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.Amir Homayoun SarfarazAssistant Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.Sadigh RaissiProfessor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.Journal Article20220407Cross docking is a distribution system in which goods are transported to destinations with the aim of preparing trucks at full capacity and reducing inventory costs. The truck scheduling problem has recently been studied by many researchers, but mostly in deterministic cases and situations, while there are many uncertainties in this process. This paper intends to optimize the process related to cross docking operations in a logistics center (Central Fruit and Vegetable Warehouse of Tehran Municipality) with the aim of minimizing operation time, inventory holding, and determining the optimal number of operators under uncertainties in truck arrival time, loading and unloading operations time, handling time and availability of resources and equipment. Due to the computational complexity of precision solving and evaluation of various options, a simulation-based optimization approach has been used, which is a combination of simulation, design of experiment and response surface methodology (RSM). The response surface methodology shows that the best-case scenario includes composition, direct movement between docks, exclusive service mode and "first come-first served" method. Numerical results also confirm that the proposed scenario greatly improves the performance measures in the studied warehouse.Cross docking is a distribution system in which goods are transported to destinations with the aim of preparing trucks at full capacity and reducing inventory costs. The truck scheduling problem has recently been studied by many researchers, but mostly in deterministic cases and situations, while there are many uncertainties in this process. This paper intends to optimize the process related to cross docking operations in a logistics center (Central Fruit and Vegetable Warehouse of Tehran Municipality) with the aim of minimizing operation time, inventory holding, and determining the optimal number of operators under uncertainties in truck arrival time, loading and unloading operations time, handling time and availability of resources and equipment. Due to the computational complexity of precision solving and evaluation of various options, a simulation-based optimization approach has been used, which is a combination of simulation, design of experiment and response surface methodology (RSM). The response surface methodology shows that the best-case scenario includes composition, direct movement between docks, exclusive service mode and "first come-first served" method. Numerical results also confirm that the proposed scenario greatly improves the performance measures in the studied warehouse.https://jimp.sbu.ac.ir/article_102785_5428bac2e4b0867c02fa4f271c32c535.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222Sustainable Supplier Selection of Refined Products under Risk and Options Contract using Conditional Value at RiskSustainable Supplier Selection of Refined Products under Risk and Options Contract using Conditional Value at Risk28932310272110.52547/jimp.12.4.289FAAhmad Reza KaramiMaster's Student, Shahrood University of Technology.Mohammad FattahiAssistant Professor, Shahrood University of Technology.Aliakbar HasaniAssociate Professor, Shahrood University of Technology.0000-0002-9530-9136Journal Article20220219Considering the importance of selecting suppliers based on the dimensions of sustainability in the supply chain, after identifying and selecting sustainability and risk criteria in accordance with Jey Oil Refining Company, by developing a multi-stage stochastic program and creating a risk constraint by the CVaR risk value criterion for quantitative criteria. Also, in terms of points calculated by FTOPSIS and FMEA methods for quality criteria, the optimal selection of suppliers, sourcing strategy and order allocation in a multi-period supply chain planning under operational risk and disruption were discussed. In order to reduce supply risk and achieve a flexible planning as a mitigation strategy, the option contract and the trading market were considered as two options to supply raw materials. The product demand, the market price of the materials, the purchase price and the apply price of the option contract, the supply quantity and the supply quantity of the option contract are random. To model uncertainty, discrete scenarios are generated through a simulation approach, and then, a scenario reduction method is used to construct a scenario tree. The application of the stochastic model, the performance of risk measurement policies, and the importance of mitigation strategies to provide some managerial insights have been investigated.Considering the importance of selecting suppliers based on the dimensions of sustainability in the supply chain, after identifying and selecting sustainability and risk criteria in accordance with Jey Oil Refining Company, by developing a multi-stage stochastic program and creating a risk constraint by the CVaR risk value criterion for quantitative criteria. Also, in terms of points calculated by FTOPSIS and FMEA methods for quality criteria, the optimal selection of suppliers, sourcing strategy and order allocation in a multi-period supply chain planning under operational risk and disruption were discussed. In order to reduce supply risk and achieve a flexible planning as a mitigation strategy, the option contract and the trading market were considered as two options to supply raw materials. The product demand, the market price of the materials, the purchase price and the apply price of the option contract, the supply quantity and the supply quantity of the option contract are random. To model uncertainty, discrete scenarios are generated through a simulation approach, and then, a scenario reduction method is used to construct a scenario tree. The application of the stochastic model, the performance of risk measurement policies, and the importance of mitigation strategies to provide some managerial insights have been investigated.https://jimp.sbu.ac.ir/article_102721_ad878207e85a7bfc597278493840498c.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-987412420221222The Reviewers in Issue 48 Winter 2023The Reviewers in Issue 48 Winter 2023103342FAJournal Article20230404