scholarly journals Reverse Logistics Network Design of Electric Vehicle Batteries considering Recall Risk

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Hao Hao ◽  
Yichen Sun ◽  
Xueyun Mei ◽  
Yanjun Zhou

In 2018-2019, the recall scale of electric vehicles (EVs) in China reached 168,700 units; recalls account for approximately 6.9% of sales volume. There are imperative reasons for electric vehicle batteries (EVBs) recalls, such as mandatory laws or policies, safety and environmental pollution risks, and the high value of EVB echelon use, and thus, it has become increasingly important to reasonably design a reverse logistics (RL) network for an EVB recall. In this study, a multiobjective and multiperiod recall RL network model is developed to minimize safety and environmental risks, maximize the social responsibility and economic benefits, and consider the characteristics of EVBs, including the configuration of key recall facilities and the control of recall flows. The results of this study will help EVB practitioners, relevant departmental policymakers, and others to comprehensively understand the recall of EVBs, strengthen the safety and environmental protection issues in the EVB recall process, and promote the establishment of a safe, green, and sustainable EVB recall RL network.

2014 ◽  
Vol 878 ◽  
pp. 66-74 ◽  
Author(s):  
Jun Wei Gan ◽  
Zheng Gang He

End-of-life vehicles (ELVs), as an important renewable resource, have huge environmental and economic benefits. In recent years, with the rapid growth of the number of ELVs, ELV reverse logistics is becoming a hot research field. In this paper, the overall trend of ELV reverse logistics research at home and abroad and a review of the status quo and countermeasures of ELV recycling, the choice of recycling mode, the ELV reverse logistics system and the reverse logistics network are presented. Finally, on the basis of performed review, some recommendations for the future research are discussed.


2021 ◽  
pp. 1-17
Author(s):  
Pezhman Abbasi Tavallali ◽  
Mohammad Reza Feylizadeh ◽  
Atefeh Amindoust

Cross-dock is defined as the practice of unloading goods from incoming vehicles and loading them directly into outbound vehicles. Cross-docking can simplify supply chains and help them to deliver goods to the market more swiftly and efficiently by removing or minimizing warehousing costs, space requirements, and use of inventory. Regarding the lifetime of perishable goods, their routing and scheduling in the cross-dock and transportation are of great importance. This study aims to analyze the scheduling and routing of cross-dock and transportation by System Dynamics (SD) modeling to design a reverse logistics network for the perishable goods. For this purpose, the relations between the selected variables are first specified, followed by assessing and examining the proposed model. Finally, four scenarios are developed to determine the optimal values of decision variables. The results indicate the most influencing factors on reaching the optimal status is the minimum distance between the cross-dock and destination, rather than increasing the number of manufactories.


2018 ◽  
Vol 54 ◽  
pp. 311-331 ◽  
Author(s):  
Sajan T John ◽  
R Sridharan ◽  
P N Ram Kumar ◽  
M. Krishnamoorthy

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