Literature DB >> 33310597

Vehicle routing problem for reverse logistics of End-of-Life Vehicles (ELVs).

Amin Chaabane1, Julio Montecinos2, Mustapha Ouhimmou3, Ahmed Khabou4.   

Abstract

Reverse logistics management of End-of-Life Vehicles (ELVs) is increasingly focusing on practical solutions for getting additional value from products at the end of their life. As automotive is one of the fastest-growing sectors, the number of ELVs to be collected and recycled has been steadily increasing due to more stringent regulations. On the other hand, the operational cost (transportation) of collecting ELVs might exceed half of the purchased price. Furthermore, parameters that influence the solution of the routing problem for the collection of ELVs tend to change due to the dynamic customers' locations and variations in vehicle type and the condition of the vehicules at the end of their life. This research proposes a new reverse logistics routing problem for the collection of end-of-life vehicles. It combines the classical Vehicle Routing Problem (VRP) with the pick-up problem and additional constraints such as loading pick-up sequences, time-windows, multi-trips, heterogeneous internal fleet, and external carriers. We also developed an efficient heuristic to construct routes and assign dealers to truck routes for solving large and real-size instances in a reasonable time. In collaboration with a significant player in North America for ELVs recycling, we performed a sensitivity analysis to compare the industry's current practices and the proposed method. The validation process with different instances demonstrates results consistency and provides useful managerial insights. Finally, sensitivity analysis shows potential changes in the solution performance regarding the penalty cost of unused internal fleet, the extra broker cost, the size of ELVs collected, and the number of the internal carriers' truck fleet.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  End-of-life vehicle; Loading pick-up sequences; Mixed-integer programming; Reverse logistics; Vehicle routing problem; Waste management

Year:  2020        PMID: 33310597     DOI: 10.1016/j.wasman.2020.11.008

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  Collaborative Routing Optimization Model for Reverse Logistics of Construction and Demolition Waste from Sustainable Perspective.

Authors:  Qianqian Chen; Wenzhu Liao
Journal:  Int J Environ Res Public Health       Date:  2022-06-16       Impact factor: 4.614

  1 in total

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