Wassan, Naveed and Wassan, Niaz and Simeonova, Lina and Besbes, Walid (2019) Green Reverse Logistics: Case of the Vehicle Routing Problem with delivery and collection demands. In: Besbes, Walid and Dhouib, Diala and Wassan, Niaz and Marrekchi, Emna, eds. Solving Transport Problems: Towards Green Logistics. Wiley. ISBN 978-1-78630-389-9. (doi:10.1002/9781119686750.ch7) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:75644)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |
Official URL: https://doi.org/10.1002/9781119686750.ch7 |
Abstract
This chapter discusses the developments in the area of vehicle routing and, more specifically, the vehicle routing problems (VRPs), which feature both delivery and collection demands and their relevance and contribution to go green reverse logistics polices. It briefly elaborates on the VRP and its variants involved in reverse logistics. The chapter highlights the significance and ecological relevance of the VRP delivery and collection models and provides information concerning freight transport greenhouse gas conversions and computations. It briefly describes the vehicle routing models that are directly focused on green transportation. Broadly speaking, the literature on such environmentally‐friendly models may be divided into two categories – green VRPs; and those comprising electric vehicles. The chapter shows the link between traditional and green VRP models and the significance of their integration, in order to achieve better economic and ecological gains.
Item Type: | Book section |
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DOI/Identification number: | 10.1002/9781119686750.ch7 |
Uncontrolled keywords: | collection demands; delivery demands; electric vehicles modeling; freight transport greenhouse gas conversions; green reverse logistics; green transportation; green vehicle routing problem |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Niaz Wassan |
Date Deposited: | 31 Jul 2019 16:05 UTC |
Last Modified: | 19 Sep 2023 15:03 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/75644 (The current URI for this page, for reference purposes) |
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