Search:
Computing and Library Services - delivering an inspiring information environment

A case analysis of a sustainable food supply chain distribution system—A multi-objective approach

Validi, Sahar, Bhattacharya, Arijit and Byrne, P.J. (2014) A case analysis of a sustainable food supply chain distribution system—A multi-objective approach. International Journal of Production Economics, 152. pp. 71-87. ISSN 0925-5273

[img]
Preview
PDF - Accepted Version
Download (15MB) | Preview

Abstract

Sustainable supply chain management is a topical area which is continuing to grow and evolve. Within supply chains, downstream distribution from producers to customers plays a significant role in the environmental performance of production supply chains. With consumer consciousness growing in the area of sustainable food supply, food distribution needs to embrace and adapt to improve its environmental performance, while still remaining economically competitive. With a particular focus on the dairy industry, a robust solution approach is presented for the design of a capacitated distribution network for a two-layer supply chain involved in the distribution of milk in Ireland. In particular the green multiobjective
optimisation model minimises CO2 emissions from transportation and total costs in the distribution chain. These distribution channels are analysed to ensure the non-dominated solutions are distributed along the Pareto fronts. A multi-attribute decision-making approach, TOPSIS, has been used to rank the realistic feasible transportation routes resulting from the trade-offs between total costs and CO2 emissions. The refined realistic solution space allows the decision-makers to geographically locate the sustainable transportation routes. In addition to geographical mapping the decision maker is also presented with a number of alternative
analysed scenarios which forcibly open closed distribution routes to build resiliency into the
solution approach. In terms of model performance, three separate GA based optimisers have been evaluated and reported upon. In the case presented NSGA-II was found to outperform
its counterparts of MOGA-II and HYBRID.

Item Type: Article
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Schools: The Business School
Related URLs:
Depositing User: Sahar Validi
Date Deposited: 08 Jan 2015 15:20
Last Modified: 01 Dec 2016 18:06
URI: http://eprints.hud.ac.uk/id/eprint/22853

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©