Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection

Ahmed Mohammed; Misha Filip; Rossi Setchi; Xiaodong Li

doi:10.23919/IConAC.2017.8082017

Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection

Ahmed Mohammed, Misha Filip, Rossi Setchi, Xiaodong Li

Management

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

5 Citations (Scopus)

Abstract

In spite of the increasing awareness apparent in the literature regarding the selection of sustainable suppliers, there are limitations in incorporating the sustainable performance in terms of traditional, environmental and social aspects in supplier selection and order allocation. Thus, an integrated fuzzy TOPSIS-multi objective optimization (MOO) approach was developed to integrate sustainable performance into the evaluation and ranking of two-stage supplier selection in conjunction with the optimal order allocation in a meat supply chain. The sustainable performance of suppliers based on traditional, environmental and social criteria was evaluated by using fuzzy TOPSIS. The optimal quantity of products to be ordered from each supplier was determined through a development of multi-objective optimization model. To obtain a set of Pareto solutions derived from the multi-objective optimization model, the LP-metrics method was employed. The quality of the obtained Pareto solutions was evaluated using the global criterion approach aiming to select the final Pareto solution. To examine the applicability of the developed integrated fuzzy TOPSIS-multi-objective approach, a case study was applied.

Original language	English
Title of host publication	ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
Subtitle of host publication	Addressing Global Challenges through Automation and Computing
Editors	Jie Zhang
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9780701702618
DOIs	https://doi.org/10.23919/IConAC.2017.8082017
Publication status	Published - 23 Oct 2017
Event	23rd IEEE International Conference on Automation and Computing, ICAC 2017 - Huddersfield, United Kingdom Duration: 7 Sept 2017 → 8 Sept 2017

Publication series

Name	ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing

Conference

Conference	23rd IEEE International Conference on Automation and Computing, ICAC 2017
Country/Territory	United Kingdom
City	Huddersfield
Period	7/09/17 → 8/09/17

Bibliographical note

Publisher Copyright:
© 2017 Chinese Automation and Computing Society in the UK - CACSUK.

Keywords

Fuzzy TOPSIS
Meat supply chain
Multi-objective
Supplier selection
Sustainability

ASJC Scopus subject areas

Control and Optimization
Safety, Risk, Reliability and Quality
Health Informatics
Computer Networks and Communications
Computer Science Applications

Access to Document

10.23919/IConAC.2017.8082017

Cite this

Mohammed, A., Filip, M., Setchi, R., & Li, X. (2017). Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection. In J. Zhang (Ed.), ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing Article 8082017 (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.23919/IConAC.2017.8082017

Mohammed, Ahmed ; Filip, Misha ; Setchi, Rossi et al. / Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection. ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. editor / Jie Zhang. Institute of Electrical and Electronics Engineers (IEEE), 2017. (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing).

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title = "Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection",

abstract = "In spite of the increasing awareness apparent in the literature regarding the selection of sustainable suppliers, there are limitations in incorporating the sustainable performance in terms of traditional, environmental and social aspects in supplier selection and order allocation. Thus, an integrated fuzzy TOPSIS-multi objective optimization (MOO) approach was developed to integrate sustainable performance into the evaluation and ranking of two-stage supplier selection in conjunction with the optimal order allocation in a meat supply chain. The sustainable performance of suppliers based on traditional, environmental and social criteria was evaluated by using fuzzy TOPSIS. The optimal quantity of products to be ordered from each supplier was determined through a development of multi-objective optimization model. To obtain a set of Pareto solutions derived from the multi-objective optimization model, the LP-metrics method was employed. The quality of the obtained Pareto solutions was evaluated using the global criterion approach aiming to select the final Pareto solution. To examine the applicability of the developed integrated fuzzy TOPSIS-multi-objective approach, a case study was applied.",

keywords = "Fuzzy TOPSIS, Meat supply chain, Multi-objective, Supplier selection, Sustainability",

author = "Ahmed Mohammed and Misha Filip and Rossi Setchi and Xiaodong Li",

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Mohammed, A, Filip, M, Setchi, R & Li, X 2017, Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection. in J Zhang (ed.), ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing., 8082017, ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing, Institute of Electrical and Electronics Engineers (IEEE), 23rd IEEE International Conference on Automation and Computing, ICAC 2017, Huddersfield, United Kingdom, 7/09/17. https://doi.org/10.23919/IConAC.2017.8082017

Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection. / Mohammed, Ahmed; Filip, Misha; Setchi, Rossi et al.
ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. ed. / Jie Zhang. Institute of Electrical and Electronics Engineers (IEEE), 2017. 8082017 (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing).

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

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AU - Setchi, Rossi

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N2 - In spite of the increasing awareness apparent in the literature regarding the selection of sustainable suppliers, there are limitations in incorporating the sustainable performance in terms of traditional, environmental and social aspects in supplier selection and order allocation. Thus, an integrated fuzzy TOPSIS-multi objective optimization (MOO) approach was developed to integrate sustainable performance into the evaluation and ranking of two-stage supplier selection in conjunction with the optimal order allocation in a meat supply chain. The sustainable performance of suppliers based on traditional, environmental and social criteria was evaluated by using fuzzy TOPSIS. The optimal quantity of products to be ordered from each supplier was determined through a development of multi-objective optimization model. To obtain a set of Pareto solutions derived from the multi-objective optimization model, the LP-metrics method was employed. The quality of the obtained Pareto solutions was evaluated using the global criterion approach aiming to select the final Pareto solution. To examine the applicability of the developed integrated fuzzy TOPSIS-multi-objective approach, a case study was applied.

AB - In spite of the increasing awareness apparent in the literature regarding the selection of sustainable suppliers, there are limitations in incorporating the sustainable performance in terms of traditional, environmental and social aspects in supplier selection and order allocation. Thus, an integrated fuzzy TOPSIS-multi objective optimization (MOO) approach was developed to integrate sustainable performance into the evaluation and ranking of two-stage supplier selection in conjunction with the optimal order allocation in a meat supply chain. The sustainable performance of suppliers based on traditional, environmental and social criteria was evaluated by using fuzzy TOPSIS. The optimal quantity of products to be ordered from each supplier was determined through a development of multi-objective optimization model. To obtain a set of Pareto solutions derived from the multi-objective optimization model, the LP-metrics method was employed. The quality of the obtained Pareto solutions was evaluated using the global criterion approach aiming to select the final Pareto solution. To examine the applicability of the developed integrated fuzzy TOPSIS-multi-objective approach, a case study was applied.

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Mohammed A, Filip M, Setchi R, Li X. Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection. In Zhang J, editor, ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. Institute of Electrical and Electronics Engineers (IEEE). 2017. 8082017. (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing). doi: 10.23919/IConAC.2017.8082017

Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this