Designing the Location–Routing Problem for a Cold Supply Chain Considering the COVID-19 Disaster-Reference-Cited by-同舟云学术

Designing the Location–Routing Problem for a Cold Supply Chain Considering the COVID-19 Disaster

Published:2023-10-31 Issue:21 Volume:15 Page:15490
ISSN:2071-1050
Container-title:Sustainability
language:en
Short-container-title:Sustainability

Author:

Abbasi Sina¹,Moosivand Maryam²,Vlachos Ilias³^ORCID,Talooni Mohammad⁴

Affiliation:

1. Department of Industrial Engineering, Lahijan Branch, Islamic Azad University, Lahijan 1616, Iran

2. Institute for Management and Planning Studies, Tehran 1411713135, Iran

3. Excelia Business School, Excelia Group, 17000 La Rochelle, France

4. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran 141556311, Iran

Abstract

In this study, a location routing problem (LRP) model was considered for the distribution network of multiple perishable food items in a cold supply chain (CSC) where vehicles can refuel at gas stations during light of the COVID-19 disaster. Fuel consumption is assumed to vary depending on the cargo transported between nodes when using a non-standard fuel fleet. The problem was formulated as a mixed-integer linear programming (MILP) model to reduce the production of carbon dioxide (CO2). The model was validated using several numerical examples which were solved using the software, LINGO 17.0. The results show that fuel consumption could be reduced in this case. Due to the complexity of the problem, genetically simulated annealing algorithms were developed to solve the actual size problems, and their performance was also evaluated.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Link

https://www.mdpi.com/2071-1050/15/21/15490/pdf

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