The Moroccan automotive industry is experiencing steady growth,positioning itself as the largest manufacturer of passenger cars in Africa.This expansion is leading to a significant increase in waste generation,particu...The Moroccan automotive industry is experiencing steady growth,positioning itself as the largest manufacturer of passenger cars in Africa.This expansion is leading to a significant increase in waste generation,particularly from end-of-life vehicles(ELVs),which require proper dismantling and disposal to minimize environmental harm.Millions of tonnes of automotive waste are generated annually,necessitating efficient waste management strategies to mitigate environmental and health risks.ELVs contain hazardous substances such as heavy metals,oils,and plastics,which,if not properly managed,can contaminate soil and water resources.To address this challenge,reverse logistics networks play a crucial role in optimizing the recovery of used components,enhancing recycling efficiency,and ensuring the safe disposal of hazardous and non-recyclable waste.This paper introduces a mathematical programming model designed to minimize the total costs associated with ELVs collection,treatment,and transportation while also accounting for revenues from the resale of repaired,directly reusable,or recycled components.The proposed model determines the optimal locations for processing facilities and establishes efficient material flows within the reverse logistics network.By integrating economic and environmental considerations,this model supports the development of a sustainable and cost-effective automotive waste management system,ultimately contributing to a circular economy approach in the industry.展开更多
To address the recycling challenges posed by the global peak of wind turbine blade retirement,this study aims to establish a decision-making model for reverse logistics modes of decommissioned blades,resolving the mul...To address the recycling challenges posed by the global peak of wind turbine blade retirement,this study aims to establish a decision-making model for reverse logistics modes of decommissioned blades,resolving the multi-agent collaborative optimization problem under ultra-high logistics cost constraints.Based on the characteristics of centralized sourcing and determinable elements in blade reverse logistics,we developed three models dominated by wind power equipment manufacturers,operators,and third-party enterprises,respectively.The research analyzes influencing factors on reverse logistics mode selection and proposes a threshold decision mechanism for mode selection.Key findings reveal:technological strength serves as the core driver for manufacturer-dominated models;channel efficiency determines the applicability of operator-led models;insufficient economies of scale may hinder third-party model development.This study provides decision-making foundations for the resource utilization of decommissioned blades.展开更多
The logistics industry plays an important role in circular economy.Therefore,not only economic benefits,but also environmental protection factors have to be considered in reverse logistics.This paper uses the multi-ob...The logistics industry plays an important role in circular economy.Therefore,not only economic benefits,but also environmental protection factors have to be considered in reverse logistics.This paper uses the multi-objective 0-1 mixed integer programming to establish a reverse logistics network optimization model for waste batteries.The objective function is to minimize both,logistics costs and carbon dioxide emissions.The model considers the basic settings of reverse logistics(including recycling nodes,manufacturing,and processing nodes)and the material flow between different settings.In solving the model,Lingo 14.0 is used in this paper.An actual case of a waste battery reverse logistics enterprise verifies the effectiveness of the model in this paper.The results show that the application of this model can effectively improve the operating efficiency of waste battery reverse logistics enterprises.展开更多
First a remanufactming logistics network is con- structed, in which the structure of both the forward logistics and the reverse logistics are of two levels and all the logistics facilities are capacitated. Both the re...First a remanufactming logistics network is con- structed, in which the structure of both the forward logistics and the reverse logistics are of two levels and all the logistics facilities are capacitated. Both the remanufactming products and the new products can be used to meet the demands of customers. Moreover, it is assumed that homogeneous facilities can be designed together into integrated ones, based on which a mixed integer nonlinear programming （MINLP） facility location model of the remanufacturing logistics network with six types of facilities to be sited is built. Then an algorithm based on enumeration for the model is given. The feasible combinations of binary variables are searched by enumeration, and the remaining sub-problems are solved by the LP solver. Finally, the validities of the model and the algorithm are illustrated by means of an example. The result of the sensitivity analysis of parameters indicates that the integration of homogeneous facilities may influence the optimal solution of the problem to a certain degree.展开更多
The productivity of an organization is very much affected by non-value adding activity like logistics, which moves the resources from suppliers to factory, raw materials/semi-finished items within the factory and fini...The productivity of an organization is very much affected by non-value adding activity like logistics, which moves the resources from suppliers to factory, raw materials/semi-finished items within the factory and finished goods from factory to customers via a designated distribution channel called as forward logistics. In some cases, parts of the products such as automobiles, computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery strategy through reverse logistics network which is integrated in a sustainable closed loop supply chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics network. This paper gives a comprehensive review of literature of the design of networks for the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions of the researchers are classified into nine categories based on the methods used to design the logistics network.展开更多
The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing...The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing trends in business and social environments, growing environmental consciousness in the society and government legislations to protect the environment as well as the business. In this context, this paper considers a multi-echelon closed loop supply chain network design with forward and reverse logistics components. An attempt has been made to develop a mixed integer non-linear programming model for this problem with different costs so that the sum of the total cost is minimized subject to different constraints pertaining to capacities of the entities of the system, demands of first customers and second customers. A generalized model is presented and then its application is illustrated using an example problem by solving the model using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness of their solutions with corresponding optimal solutions.展开更多
As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of c...As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms.展开更多
文摘The Moroccan automotive industry is experiencing steady growth,positioning itself as the largest manufacturer of passenger cars in Africa.This expansion is leading to a significant increase in waste generation,particularly from end-of-life vehicles(ELVs),which require proper dismantling and disposal to minimize environmental harm.Millions of tonnes of automotive waste are generated annually,necessitating efficient waste management strategies to mitigate environmental and health risks.ELVs contain hazardous substances such as heavy metals,oils,and plastics,which,if not properly managed,can contaminate soil and water resources.To address this challenge,reverse logistics networks play a crucial role in optimizing the recovery of used components,enhancing recycling efficiency,and ensuring the safe disposal of hazardous and non-recyclable waste.This paper introduces a mathematical programming model designed to minimize the total costs associated with ELVs collection,treatment,and transportation while also accounting for revenues from the resale of repaired,directly reusable,or recycled components.The proposed model determines the optimal locations for processing facilities and establishes efficient material flows within the reverse logistics network.By integrating economic and environmental considerations,this model supports the development of a sustainable and cost-effective automotive waste management system,ultimately contributing to a circular economy approach in the industry.
文摘To address the recycling challenges posed by the global peak of wind turbine blade retirement,this study aims to establish a decision-making model for reverse logistics modes of decommissioned blades,resolving the multi-agent collaborative optimization problem under ultra-high logistics cost constraints.Based on the characteristics of centralized sourcing and determinable elements in blade reverse logistics,we developed three models dominated by wind power equipment manufacturers,operators,and third-party enterprises,respectively.The research analyzes influencing factors on reverse logistics mode selection and proposes a threshold decision mechanism for mode selection.Key findings reveal:technological strength serves as the core driver for manufacturer-dominated models;channel efficiency determines the applicability of operator-led models;insufficient economies of scale may hinder third-party model development.This study provides decision-making foundations for the resource utilization of decommissioned blades.
文摘The logistics industry plays an important role in circular economy.Therefore,not only economic benefits,but also environmental protection factors have to be considered in reverse logistics.This paper uses the multi-objective 0-1 mixed integer programming to establish a reverse logistics network optimization model for waste batteries.The objective function is to minimize both,logistics costs and carbon dioxide emissions.The model considers the basic settings of reverse logistics(including recycling nodes,manufacturing,and processing nodes)and the material flow between different settings.In solving the model,Lingo 14.0 is used in this paper.An actual case of a waste battery reverse logistics enterprise verifies the effectiveness of the model in this paper.The results show that the application of this model can effectively improve the operating efficiency of waste battery reverse logistics enterprises.
基金The National Natural Science Foundation of China(No.70472033).
文摘First a remanufactming logistics network is con- structed, in which the structure of both the forward logistics and the reverse logistics are of two levels and all the logistics facilities are capacitated. Both the remanufactming products and the new products can be used to meet the demands of customers. Moreover, it is assumed that homogeneous facilities can be designed together into integrated ones, based on which a mixed integer nonlinear programming （MINLP） facility location model of the remanufacturing logistics network with six types of facilities to be sited is built. Then an algorithm based on enumeration for the model is given. The feasible combinations of binary variables are searched by enumeration, and the remaining sub-problems are solved by the LP solver. Finally, the validities of the model and the algorithm are illustrated by means of an example. The result of the sensitivity analysis of parameters indicates that the integration of homogeneous facilities may influence the optimal solution of the problem to a certain degree.
文摘The productivity of an organization is very much affected by non-value adding activity like logistics, which moves the resources from suppliers to factory, raw materials/semi-finished items within the factory and finished goods from factory to customers via a designated distribution channel called as forward logistics. In some cases, parts of the products such as automobiles, computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery strategy through reverse logistics network which is integrated in a sustainable closed loop supply chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics network. This paper gives a comprehensive review of literature of the design of networks for the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions of the researchers are classified into nine categories based on the methods used to design the logistics network.
文摘The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing trends in business and social environments, growing environmental consciousness in the society and government legislations to protect the environment as well as the business. In this context, this paper considers a multi-echelon closed loop supply chain network design with forward and reverse logistics components. An attempt has been made to develop a mixed integer non-linear programming model for this problem with different costs so that the sum of the total cost is minimized subject to different constraints pertaining to capacities of the entities of the system, demands of first customers and second customers. A generalized model is presented and then its application is illustrated using an example problem by solving the model using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness of their solutions with corresponding optimal solutions.
基金Project(2011ZK2030)supported by the Soft Science Research Plan of Hunan Province,ChinaProject(2010ZDB42)supported by the Social Science Foundation of Hunan Province,China+1 种基金Projects(09A048,11B070)supported by the Science Research Foundation of Education Bureau of Hunan Province,ChinaProjects(2010GK3036,2011FJ6049)supported by the Science and Technology Plan of Hunan Province,China
文摘As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms.
