Volume 56, Number 4, July-August 2022
|2115 - 2137
|11 July 2022
Sustainable multi-products delivery routing network design for two-echelon supplier selection problem in B2B e-commerce platform
Department of Mechanical Engineering, Indian Institute of Information Technology, Design and Manufacturing Jabalpur, Jabalpur, Madhya Pradesh, India
2 School of Economics and Management, Zhengzhou University of Light Industry, Zhengzhou, P.R. China
3 Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada
4 Department of Mechanical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India
* Corresponding author: email@example.com
Accepted: 14 May 2022
This paper examines the environmental impact produced by multi-vehicle transportation on a sustainable supply chain (SC) network. The relevance of green principles is gaining momentum day by day, which has forced the governments to introduce carbon emission schemes for the transportation associated with the firms. Various countries around the globe are introducing carbon-pricing schemes, in which a carbon tax is imposed based on the amount of anthropogenic emissions. A firm, which sets environmental standards for the emission associated with its operational activities, should design a transportation network based on the trade-off between its economic efficiency and the carbon emission. In this paper, the main focus is to design a sustainable supply chain network. A mixed-integer-non-linear-programming (MINLP) model is formulated to minimize the overall cost incurred in a multi-vehicle, multi-product sustainable transportation network. The meta-heuristic approach i.e., Hybrid Chemical Reaction Optimization Algorithm with Tabu search (CRO-TS) and LINGO solver have been used to solve the proposed model. This analysis can guide the government to encourage the logistics service providers to capitalize on anthropogenic gas emission systems and simultaneously design the tax policy on carbon emission.
Mathematics Subject Classification: 90C30 / 90C59 / 90C31
Key words: Sustainable transportation network design / multi-vehicle transportation / carbon emission / chemical reaction optimization algorithm / tabu search / LINGO
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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