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

Yipei Zhang; Feng Chu; Ada Che

doi:10.1109/IESM45758.2019.8948214

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

Yipei Zhang
, Feng Chu
, Ada Che

School of Management

Northwestern Polytechnical University Xian
Biologie Intégrative et Systèmes Complexes (IBISC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019
Editors	Feifeng Zheng, Feng Chu, Ming Liu
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728115665
DOIs	https://doi.org/10.1109/IESM45758.2019.8948214
State	Published - Sep 2019
Event	2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 - Shanghai, China Duration: 25 Sep 2019 → 27 Sep 2019

Publication series

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

Conference

Conference	2019 International Conference on Industrial Engineering and Systems Management, IESM 2019
Country/Territory	China
City	Shanghai
Period	25/09/19 → 27/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 9 Industry, Innovation, and Infrastructure

Keywords

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

Access to Document

10.1109/IESM45758.2019.8948214

Cite this

Zhang, Y., Chu, F., & Che, A. (2019). Bi-objective optimization for closed-loop food supply chain involving returnable transport items. In F. Zheng, F. Chu, & M. Liu (Eds.), Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 Article 8948214 (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IESM45758.2019.8948214

Zhang, Yipei ; Chu, Feng ; Che, Ada. / Bi-objective optimization for closed-loop food supply chain involving returnable transport items. Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019. editor / Feifeng Zheng ; Feng Chu ; Ming Liu. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019).

@inproceedings{80bba3ad5f284f559b9a9f7907530b36,

title = "Bi-objective optimization for closed-loop food supply chain involving returnable transport items",

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 \textbackslash{}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.",

keywords = "bi-objective optimization, closed-loop supply chain planning, mixed integer linear program, perishable food product, ϵ-constraint method",

author = "Yipei Zhang and Feng Chu and Ada Che",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 ; Conference date: 25-09-2019 Through 27-09-2019",

year = "2019",

month = sep,

doi = "10.1109/IESM45758.2019.8948214",

language = "英语",

series = "Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Feifeng Zheng and Feng Chu and Ming Liu",

booktitle = "Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019",

}

Zhang, Y, Chu, F & Che, A 2019, Bi-objective optimization for closed-loop food supply chain involving returnable transport items. in F Zheng, F Chu & M Liu (eds), Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019., 8948214, Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019, Institute of Electrical and Electronics Engineers Inc., 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019, Shanghai, China, 25/09/19. https://doi.org/10.1109/IESM45758.2019.8948214

Bi-objective optimization for closed-loop food supply chain involving returnable transport items. / Zhang, Yipei; Chu, Feng; Che, Ada.
Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019. ed. / Feifeng Zheng; Feng Chu; Ming Liu. Institute of Electrical and Electronics Engineers Inc., 2019. 8948214 (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bi-objective optimization for closed-loop food supply chain involving returnable transport items

AU - Zhang, Yipei

AU - Chu, Feng

AU - Che, Ada

PY - 2019/9

Y1 - 2019/9

N2 - 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.

AB - 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.

KW - bi-objective optimization

KW - closed-loop supply chain planning

KW - mixed integer linear program

KW - perishable food product

KW - ϵ-constraint method

UR - https://www.scopus.com/pages/publications/85078726785

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DO - 10.1109/IESM45758.2019.8948214

M3 - 会议稿件

AN - SCOPUS:85078726785

T3 - Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

BT - Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

A2 - Zheng, Feifeng

A2 - Chu, Feng

A2 - Liu, Ming

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

Y2 - 25 September 2019 through 27 September 2019

ER -

Zhang Y, Chu F, Che A. Bi-objective optimization for closed-loop food supply chain involving returnable transport items. In Zheng F, Chu F, Liu M, editors, Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8948214. (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019). doi: 10.1109/IESM45758.2019.8948214

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

Abstract

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UN SDGs

Keywords

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