G-resilient multi-tier supplier selection and order allocation in food industry: a hybrid methodology

Ahmed Mohammed; Chunguang Bai; Nabil Channouf; Teejan Al Ahmed; Shaymaa Maher Mohamed

doi:10.1080/23302674.2023.2195055

G-resilient multi-tier supplier selection and order allocation in food industry: a hybrid methodology

Ahmed Mohammed^*, Chunguang Bai^*, Nabil Channouf, Teejan Al Ahmed, Shaymaa Maher Mohamed

^*Corresponding author for this work

Management

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In the post epidemic era, food industry associations need to build a green and resilient (G-resilient) supply chains network through supplier selection and order allocation (SS/OA) decisions to avoid unexpected disruption risks and meet uncertain demand and cost for green food. This paper proposes a hybrid methodology using fuzzy multi-objective mixed integer linear programming model (FMOMILPM) to solve G-resilient multi-tier SS/OA problem within the uncertain demand and cost environment in food industry. We first proposed a G-resilient multi-criteria framework that consists of traditional, green and resilience pillars as well as their criteria for evaluating multi-tier suppliers. Second, FMOMILPM is developed based on the fuzzy evaluation of group decision makers and the uncertain demand and cost to handle the G-resilient multi-tier SS/OA problem towards minimizing cost and transportation time of orders and maximizing purchasing value of G-resilient. The LP-metrics and ϵ-constraint methods are employed to obtain a set of Pareto solutions out of the FMOMILPM, and then the final Pareto solution is determined by TOPSIS. The applicability of the proposed methodology is validated by a real case study in the UK halal food industry.

Original language	English
Article number	2195055
Number of pages	24
Journal	International Journal of Systems Science: Operations and Logistics
Volume	10
Issue number	1
Early online date	17 Apr 2023
DOIs	https://doi.org/10.1080/23302674.2023.2195055
Publication status	Published - 31 Dec 2023

Bibliographical note

Funding Information:
This work is supported by the National Natural Science Foundation of China Project (71772032). This Research Project received Funding from the Ministry of Higher Education, Research and Innovation of the Sultanate of Oman, under Commissioned Research Program, Contract NO. 01/12/2023-31/08/2025, 01/12/2023-31/01/2025, 01/12/2021-31/07/2023, and 01/12/2021-30/11/2022.

Publisher Copyright:
© 2023 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

food industry
fuzzy multi-objective optimisation
G-resilient
Multi-tier
supplier
uncertain demand

ASJC Scopus subject areas

Management Information Systems
Information Systems
Management Science and Operations Research
Information Systems and Management

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10.1080/23302674.2023.2195055

Cite this

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abstract = "In the post epidemic era, food industry associations need to build a green and resilient (G-resilient) supply chains network through supplier selection and order allocation (SS/OA) decisions to avoid unexpected disruption risks and meet uncertain demand and cost for green food. This paper proposes a hybrid methodology using fuzzy multi-objective mixed integer linear programming model (FMOMILPM) to solve G-resilient multi-tier SS/OA problem within the uncertain demand and cost environment in food industry. We first proposed a G-resilient multi-criteria framework that consists of traditional, green and resilience pillars as well as their criteria for evaluating multi-tier suppliers. Second, FMOMILPM is developed based on the fuzzy evaluation of group decision makers and the uncertain demand and cost to handle the G-resilient multi-tier SS/OA problem towards minimizing cost and transportation time of orders and maximizing purchasing value of G-resilient. The LP-metrics and ϵ-constraint methods are employed to obtain a set of Pareto solutions out of the FMOMILPM, and then the final Pareto solution is determined by TOPSIS. The applicability of the proposed methodology is validated by a real case study in the UK halal food industry.",

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note = "Funding Information: This work is supported by the National Natural Science Foundation of China Project (71772032). This Research Project received Funding from the Ministry of Higher Education, Research and Innovation of the Sultanate of Oman, under Commissioned Research Program, Contract NO. 01/12/2023-31/08/2025, 01/12/2023-31/01/2025, 01/12/2021-31/07/2023, and 01/12/2021-30/11/2022. Publisher Copyright: {\textcopyright} 2023 Informa UK Limited, trading as Taylor & Francis Group.",

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G-resilient multi-tier supplier selection and order allocation in food industry: a hybrid methodology

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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