Bi-objective optimization for closed-loop food supply chain involving returnable transport items

Yipei Zhang, Feng Chu, Ada Che

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper investigates a multi-period closed-loop food supply chain planning problem. Returnable transport items are used to ship food products from a single manufacturer to multiple retailers. Food quality deteriorates over periods. Both economic and environmental issues are taken into consideration. For the problem, we propose a bi-objective mixed integer linear program to simultaneously maximize the total profit and minimize the carbon emissions of the holistic supply chain. Aiming to obtain the Pareto front of the problem, we adapt an \varepsilon -constraint method to transform the bi-objective model into a series of single-objective ones which are optimally solved by CPLEX. Computational experiments conducted on randomly generated instances and an illustrative example demonstrate the validity and effectiveness of the proposed model.

Original languageEnglish
Title of host publicationProceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019
EditorsFeifeng Zheng, Feng Chu, Ming Liu
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728115665
DOIs
StatePublished - Sep 2019
Event2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 - Shanghai, China
Duration: 25 Sep 201927 Sep 2019

Publication series

NameProceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

Conference

Conference2019 International Conference on Industrial Engineering and Systems Management, IESM 2019
Country/TerritoryChina
CityShanghai
Period25/09/1927/09/19

Keywords

  • bi-objective optimization
  • closed-loop supply chain planning
  • mixed integer linear program
  • perishable food product
  • ϵ-constraint method

Fingerprint

Dive into the research topics of 'Bi-objective optimization for closed-loop food supply chain involving returnable transport items'. Together they form a unique fingerprint.

Cite this