Title: Multi-objective supplier selection with the new hybrid COAW method

Authors: Elham Shadkam

Addresses: Department of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad, Iran

Abstract: With the intensification of the global competition scene, the need for flexibility and appropriate response of manufacturing and industrial companies to gain and maintain their position has been enormously increased. Using a concept called supply chain management, a theory was created that selecting the appropriate supplier and managing it is an effective tool as well as a strategic decision. Supplier selection is a multi-objective problem that depends on many criteria such as delivery time, cost, quality, the rate of defective goods received, reliability, etc. In this paper, a new hybrid algorithm called COAW is presented and used to solve the problem of selecting a multi-objective supplier with the purpose of minimising the cost and rate of defective goods received from the supplier. The COAW method is a combination of the cuckoo optimisation algorithm and the simple additive weighting method, and with the help of this combined approach, the cuckoo optimisation algorithm will be able to solve multi-objective optimisation problems. After implementing the COAW method and comparing it with the similar method, the results show the optimal performance of the proposed algorithm in creating the Pareto frontier of the problem.

Keywords: supply chain management; supplier selection; cuckoo optimisation algorithm; COA; simple additive weighting; SAW.

DOI: 10.1504/IJSCOR.2021.10037133

International Journal of Supply Chain and Operations Resilience, 2021 Vol.5 No.1, pp.60 - 78

Received: 30 Dec 2020
Accepted: 21 Feb 2021

Published online: 08 Jun 2021 *

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