Title: Investigating the multi-objective optimisation problem of supplier selection using the new COTOP hybrid method

Authors: Elham Shadkam

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

Abstract: In recent years, selecting the best supplier in the supply chain problem has become a strategically important issue. The nature of this problem is usually complex and there are conflicting objectives. Selecting the best supplier will significantly reduce the cost of purchasing materials and the delivery time. It also increases the level of competitiveness of organisations. The purpose of this paper is to present a new approach to solve multi-objective optimisation problems. The proposed method in this paper has been used to solve the evaluation and selection of the appropriate supplier. The proposed hybrid method is a combination of the cuckoo optimisation algorithm (COA) and the TOPSIS method and is therefore called COTOP. The speed and accuracy of the results from the implementation of the proposed COTOP method on the supplier selection problem show the efficiency of the algorithm in solving multi-objective problems, and this method can well identify the Pareto frontier of the problem. Due to the use of the cuckoo optimisation algorithm, the proposed COTOP method can be used in large-scale problems, and due to the use of the TOPSIS method, there is no concern in terms of the number of objective functions.

Keywords: supplier selection; supply chain; TOPSIS; cuckoo optimisation algorithm; hybrid method.

DOI: 10.1504/IJBPSCM.2023.130468

International Journal of Business Performance and Supply Chain Modelling, 2023 Vol.14 No.1, pp.79 - 105

Accepted: 02 Aug 2022
Published online: 21 Apr 2023 *