A hybrid approach using the Bees Algorithm and Fuzzy-AHP for supplier selection

Yuce, Baris ORCID: https://orcid.org/0000-0002-9937-1535 and Mastrocinque, Ernesto 2016. A hybrid approach using the Bees Algorithm and Fuzzy-AHP for supplier selection. Samui, Pijush, ed. Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering, IGI Global, pp. 171-195. (10.4018/978-1-4666-9479-8.ch007)

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Abstract

In this chapter, a new hybrid approach combining the Fuzzy Analytic Hierarchy Process (AHP) and the Bees Algorithm is proposed in order to solve the supplier selection problem. The Fuzzy Analytic Hierarchy Process is used to determine the importance weight of each criterion and sub-criterion considered for the supplier selection, which are quality, cost, service level, supplier profile and risk. These weights are utilized in a mathematical model to determine the optimum order level of each row material from each supplier. The model considers capacity, demand, on-time delivery, quality and bill of materials. To determine the optimum order levels, the Bees Algorithm is applied to optimize this NP-hard type model under the constraints. The results showed that the Bees Algorithm performed better than Genetic Algorithm during the optimization stage.

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Publisher:	IGI Global
ISBN:	9781466694798
Last Modified:	31 Oct 2022 09:37
URI:	https://orca.cardiff.ac.uk/id/eprint/81738

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