List of Articles زنجیره تامین حلقه بسته

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  1 - Developing a Mixed Integer Quadratic Programing Model with Integer Numbers for Designing a Dynamic closed-loop Logistics Network
  Ehsan Yadegari Akbar Alem-Tabriz Mostafa Zandieh Behrouz Dorri
  Logistics Network Design includes network configuration decisions having long-standing influences on other tactical and operational decisions. Recently, regarding environmental issues and customer awareness and global warming closed-loop supply chain network design is t More

  Logistics Network Design includes network configuration decisions having long-standing influences on other tactical and operational decisions. Recently, regarding environmental issues and customer awareness and global warming closed-loop supply chain network design is taken into consideration. The proposed network for the integrated forward and reverse logistics is developed by formulating a cyclic logistics network problem which decisions for selecting the places of manufactories, distribution centers, dismantlers and disposal centers with the respective operating units were supported with the maximizing the profit. Moreover, the palaces of suppliers and customer zone are predefined in this model. Therefore, this paper presents a mixed integer quadratic programing for a dynamic multi-period multi-products closed-loop logistics network. The possibility of opening and closing of each facility at each period and expanding the capacities of facilities is the main feature of the proposed model. After model formulation, the credibility and the performance evaluation are investigated by numerical examples. Manuscript profile
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  2 - Cost Efficiency of Closed–Loop Supply Chain in the Presence of Dual-Role and Undesirable Factors
  M. Jahani Sayyad Noveiri S. Kordrostami A.R. Amirteimoori
  Supply chain management is essential for the success of firms and customer satisfaction. In addition, a suitable performance evaluation system is vital to the effective management of the supply chain. Due to the importance of cost management in the supply chain, an appr More

  Supply chain management is essential for the success of firms and customer satisfaction. In addition, a suitable performance evaluation system is vital to the effective management of the supply chain. Due to the importance of cost management in the supply chain, an approach based on Data Envelopment Analysis (DEA) is proposed in the current study for evaluating the cost efficiency of closed-loop supply chains while dual-role factors and undesirable outputs exist. DEA is a beneficial mathematical programming method for evaluating and analyzing the relative efficiency of decision maker units with multiple inputs and outputs. Indeed, in this study, the cost efficiency scores of supply chains with three components, supplier, manufacturer and repair and recycling, as well as forward and reverse flows are measured using DEA technique. The assumption of weak disposability on undesirable outputs is considered. Also, a case study is provided to illustrate and to analyze the proposed method. The results show a correct identification of the role of the factors and the incorporation of the undesirable and reversible factors in supply chain systems play the important role in the correct calculation of the cost efficiency in each of components and whole supply chain. Moreover, in the introduced method, the overall cost efficiency can be represented as the weighted sum of the cost efficiency of components. Manuscript profile
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  3 - Fuzzy Multi-Objective Model of Closed-Loop Supply Chain Network in the Automotive Industry with an Urban Management Approach
  saeed aminpour alireza irajpour mahdi yazdani
  10.30495/ums.2021.19380
  Introduction & Objective: The purpose of this study is to design a multi-objective model of fuzzy closed-loop supply chain network in the automotive industry with an urban management approach. Automobile manufacturing is a complex and energetic process that consumes More

  Introduction & Objective: The purpose of this study is to design a multi-objective model of fuzzy closed-loop supply chain network in the automotive industry with an urban management approach. Automobile manufacturing is a complex and energetic process that consumes significant amounts of raw materials and water. To continue the competition, major automotive equipment manufacturers must strive for better product quality by continuously improving their production process and directing low-carbon emissions and increasing sustainability. In this regard, reverse supply chain networks and closed loop chains have special features that are very useful in the industry under study. Method: In the present study, in order to achieve the research objectives, a quantitative research method will be used and based on the purpose, it is defined in a practical way. In this study, we use the MOPSO method to facilitate its implementation and its ability to provide good convergence, as well as to maintain a proper balance between exploitation and exploration, as well as the NSGA II genetic algorithm. Results: In the study of the findings of the proposed algorithms, it found that the average error resulting from these algorithms is less than 0.04. The results also show that the proposed algorithms have the necessary efficiency in solving these problems. Conclusion: The notable results of our model are as follows: (1) an efficient closed-loop network that demonstrates the economic benefits of considering the value of time over the recycling of a worn product. (2) It has the ability to show the capacity to achieve maximum benefits in terms of cost value as well as the environmental perspective of what capacity it should maintain.   Manuscript profile
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  4 - Reduction of environmental pollution in closed-loop supply chain optimization using fuzzy complex integer programming
  sayyed mohammad reza davoodi homa kalani
  Introduction: with increase in greenhouse gases, and pollutants and ever-increasing attention to environmental issues, the managers and researchers tried to design and put into operation some networks which in addition to economic optimization has a specific focus on en More

  Introduction: with increase in greenhouse gases, and pollutants and ever-increasing attention to environmental issues, the managers and researchers tried to design and put into operation some networks which in addition to economic optimization has a specific focus on environmental factors and reducing pollutants. , Supply Chain Management has become changed into one of the basic issues of the economic firms in such a way that it has left an impression on all activities of the organizations for producing the products, improving the quality, decreasing the prices and presenting the required services for the customers. The first goal is to increase the profit of the entire supply chain and the second goal is reducing the pollutions of the environment. Materials and methods: This study in terms of purpose is practical and in terms of the method is descriptive-research. In this study, a dual-objective mathematical model is presented for the closed-loop supply chain network design. The mathematical model based on some standards such as the number of products, number of reused products and number of defined parts. Also, one solution was presented based on fuzzy-planning and a dual-objective fuzzy model was considered. In the next step with the available data, the model is tested by using GAMS software. Results and discussion: increasing the amount of the first purpose function has a complete direct relationship with increasing the multiplier. Whereas changing the demand has an indirect relationship with the second purpose function. increasing demand leads to an intensive increase in environmental pollutions. Manuscript profile
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  5 - Closed loop supply chain network design under uncertainty
  Reza Yousefi Zenouz Farzad Haghighi rad sajad zakeritabar
  Climate change and environmental impacts of economic activities, have forced supply chains to implement green policies and reduce environmental impacts and destruction to achieve competiete advantage. One approach to achive simultaneously to the economic and envitonment More

  Climate change and environmental impacts of economic activities, have forced supply chains to implement green policies and reduce environmental impacts and destruction to achieve competiete advantage. One approach to achive simultaneously to the economic and envitonmental objectives is to design closed loop supply chain networks (CLSCN) that integrate reverse logistics into their forward paths. In this paper, a bi-objective mixed integer linear programming model was developed for the CLSCN problem. The first objective is to minimize the cost function and the second objective function tries to minimize the time of transferring products from manufacturers to the distributors. Lp Metric and ε -constraint methods were utilized to solve the model. A numerical example was presented to show the applicability of the model and also sensitivity analysis was done. In this model two parameters of cost and demand are uncertain, in order to deal with uncertain parameters a robust optimization approach was utilizec. Multi objective particle swarm optimization (MOPSO) was used to solve the model in lare scales ad the solutions were compared with the solutions that obtained by exact methods. the findings of this research can help decision makers and executives to design efficient closed loop supply chains. Manuscript profile
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  6 - Designing a closed-loop supply chain mathematical model with an emphasis on empowering environmental capabilities and increasing profitability (military products case study)
  abolfazl sadeghi Keyvan Sahgholian Akbar Alemtabriz
  The main solution for companies to simultaneously achieve economic and environmental goals is to implement a closed loop supply chain. The main goal of this research is to design a mathematical model to empower the environmental capabilities and profitability of the clo More

  The main solution for companies to simultaneously achieve economic and environmental goals is to implement a closed loop supply chain. The main goal of this research is to design a mathematical model to empower the environmental capabilities and profitability of the closed loop supply chain in military industries. The presented model is a 4-objective model, the first objective of which is to minimize emissions, the second objective is to minimize environmental waste, the third objective is to minimize cost, and the fourth objective is to minimize the risk of raw material supply. After designing the model, validation of the model has been done by solving it in small dimensions and then using four algorithms NSGAII, MOPSO, MOACO, MOSA to solve the model in medium and large dimensions and its results have been compared. Based on the results, the parameters of the model have been adjusted and the response of the model to different parameters has been investigated. The results show that simultaneous consideration of environmental and economic dimensions in the parameters leads to the improvement of the performance of the closed loop supply chain in terms of empowering the environmental capabilities and profitability. Manuscript profile
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  7 - Providing a Multi-Objective Mathematical Model for Closed-loop Supply Chain Optimization Manufacturing under uncertainty conditions
  sajjad jalalifar Reza Ehtesham Rasi Ali Mohtashami
  10.22094/jdem.2023.1995754.3153
  Supply chain optimization involves the integration of supply chain activities and related information flows by improving the state of chain relationships to achieve a secure and sustainable competitive advantage. In this realization, the issue of supply chain optimizati More

  Supply chain optimization involves the integration of supply chain activities and related information flows by improving the state of chain relationships to achieve a secure and sustainable competitive advantage. In this realization, the issue of supply chain optimization has been chosen because to provide goods and services in the economy, we need a mechanism and system to maximize economic efficiency and productivity and provide return goods and services at lower and easier costs and the circular economy to be realized, the main discussion of which is related to the recycling of returned goods and goods that need to be repaired so that they can be reused. This research also emphasizes the use of healthy parts and components in the reproduction of products and this issue is considered for all goods in each part of the supply chain that cannot be used and must be transferred to the reproduction. The results of the implementation of the model presented in the genetic algorithm show that this algorithm was able to reach an almost optimal answer at the right time. This algorithm requires more computational time than LINGO optimization software to solve problems that have very small dimensions but this algorithm needs much less time to solve problems due to the increase in problem dimensions than LINGO optimization software. Therefor in these examples we observed that this algorithm can reach an acceptable answer in a much shorter interval than LINGO optimization software for large scale problems. Manuscript profile
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  8 - Joint Pricing and Inventory Routing Modeling in a Two Echelon Closed Supply Chain
  mohamad mohamadnejad Isa nakhaei kama abadi Ramin Sadeghian Fardin Ahmadi zar
  Abstract This paper studies the pricing issue in a multi-period and multi-product closed-loop supply chain with price-dependent demands. The aim is to assign a location for the collection and disassemble center, vehicle routing, and material ordering in order to maximi More

  Abstract This paper studies the pricing issue in a multi-period and multi-product closed-loop supply chain with price-dependent demands. The aim is to assign a location for the collection and disassemble center, vehicle routing, and material ordering in order to maximize the profit.  In the study, a non-linear mathematical model is presented for small scale problems. Due to the NP-hardness of the problem, two met heuristics, genetic algorithm and particle swarm optimization algorithm, are applied to solve medium and large scale problems. The algorithms are validated by comparing their results with those of the mathematical model. Finally, the performance comparison of the two met heuristics through statistical analysis is demonstrated that the particle swarm optimization algorithm performance outperforms the genetic algorithm. Manuscript profile