Optimization of reverse logistics network of End of Life Vehicles under fuzzy supply: A case study for Istanbul Metropolitan Area

2019 ◽  
Vol 215 ◽  
pp. 1036-1051 ◽  
Author(s):  
Ali Osman Kuşakcı ◽  
Berk Ayvaz ◽  
Emine Cin ◽  
Nezir Aydın
Keyword(s):  
End Of Life ◽  
Metropolitan Area ◽  
Reverse Logistics ◽  
Logistics Network ◽  
Reverse Logistics Network

Design and development of a fuzzy credibility-based reverse logistics network with buyback offers: A case study

2021 ◽  
pp. 0734242X2110452
Author(s):  
Masoud Amirdadi ◽  
Farzad Dehghanian ◽  
Jamal Nahofti Kohneh
Keyword(s):  
Reverse Logistics ◽  
Electronic Waste ◽  
Critical Issue ◽  
Product Recovery ◽  
Logistics Network ◽  
Waste Production ◽  
Reverse Logistics Network ◽  
Mashhad City ◽  
Recovery Approach

The ever-growing stream of waste production has become a critical issue for many metropolitan areas. An effective strategy to address this problem has been the concept of reverse logistics (RL). This paper seeks to develop an appropriate product recovery approach for electronic waste generated in an urban area. Consequently, we have proposed an integrated fuzzy RL model with buyback (BB) offers based on the condition of used-products (UPs) at the time of return. However, this strategy contains a significant challenge, which derives from unpredictability surrounding the return rate of UPs due to its dependency on multiple external factors. Hence, a novel fuzzy probability function is developed to approximate UPs’ chance of return. Besides that, the mathematical RL network’s inherent uncertainty prompted us to employ the fuzzy credibility-based method in the model. Afterward, the model’s objectives are locating and allocating collection centres to customer zones, determining flow between facilities and finding the optimal amount of gathered UPs and BB offers. Finally, we applied the model to a case study concerning product recovery in Mashhad city, Iran, and the results have proven its validity and utility.

scholarly journals Designing a Reverse Logistics Network for End-of-Life Vehicles Recovery

2010 ◽  
Vol 2010 ◽  
pp. 1-16 ◽  
Author(s):  
Masoud Zarei ◽  
Saeed Mansour ◽  
Ali Husseinzadeh Kashan ◽  
Behrooz Karimi
Keyword(s):  
End Of Life ◽  
Reverse Logistics ◽  
Recovery Process ◽  
The European Union ◽  
Logistics Network ◽  
Efficient Management ◽  
Life Cycle Stages ◽  
Reverse Logistics Network ◽  
Solution Methodology ◽  
Union Directive

The environmental factors are receiving increasing attention in different life cycle stages of products. When a product reaches its End-Of-Life (EOL) stage, the management of its recovery process is affected by the environmental and also economical factors. Selecting efficient methods for the collection and recovery of EOL products has become an important issue. The European Union Directive 2000/53/EC extends the responsibility of the vehicle manufacturers to the postconsumer stage of the vehicle. In order to fulfill the requirements of this Directive and also efficient management of the whole recovery process, the conceptual framework of a reverse logistics network is presented. The distribution of new vehicles in an area and also collecting the End-of-Life Vehicles (ELVs) and their recovery are considered jointly. It is assumed that the new vehicles distributors are also responsible for collecting the ELVs. Then a mathematical model is developed which minimizes the costs of setting up the network and also the relevant transportation costs. Because of the complexity of the model, a solution methodology based on the genetic algorithm is designed which enables achieving good quality solutions in a reasonable algorithm run time.

scholarly journals Reverse Logistics Network Optimizing by Genetic Algorithm: A Case Study of Automotive Wiring Harnesses

2014 ◽  
Vol 564 ◽  
pp. 740-746 ◽  
Author(s):  
Abdolhossein Sadrnia ◽  
N. Ismail ◽  
M.K.A.M. Ariffin ◽  
Zulkifli Norzima ◽  
Omid Boyer
Keyword(s):  
Genetic Algorithm ◽  
Reverse Logistics ◽  
Programming Model ◽  
Mixed Integer ◽  
Profit Model ◽  
Logistics Network ◽  
Wiring Harness ◽  
Reverse Logistics Network ◽  
Optimum Solution

The shortage of material and environmental legislations have encouraged car manufacturers to recycle used material in end of life vehicles (ELVs), reverse logistics are essential to the concerns of the automotive supply chain. In this research, a profit model multi-echelon reverse logistics network including collection center, shredder center and recycling center is developed to recycle automotive parts. The work was continued by illustrating empirical application in wiring harness manufacturer that would like to recycle wire harnesses and extract copper. With regards to the complexity of the reverse logistics network, traditional method cannot be implemented for solving them. Thus, an evolutionary algorithm based genetic algorithm (GA) is applied as a solution methodology to solve mixed integer linear programming model and find the optimum solution. The results emphasize the efficiency of the modeling and solving method so that in the case study the company gained more than 27 thousand dollars through the establishment of reverse logistics for recycling copper.

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