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

Mohammed, Ahmed, Filip, Misha, Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544 and Li, Xiaodong 2017. Drafting a fuzzy TOPSIS-multi-objective approach for a sustainable supplier selection. Presented at: 23rd International Conference on Automation & Computing (ICAC 2017), Huddersfield, England, 7-8 September 2017. Proceedings of the 23rd International Conference on Automation & Computing. IEEE, p. 1. 10.23919/IConAC.2017.8082017

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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.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Publisher:	IEEE
ISBN:	978-0-7017-0260-1
Last Modified:	06 Jul 2023 10:09
URI:	https://orca.cardiff.ac.uk/id/eprint/108497

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