Title: Decision support tool for the selection and evaluation of suppliers, to optimising the textile raw material supply chain, through programming

Authors: Zouina Ameur; Samir Abdelhamid

Addresses: Industrial Engineering Department, Laboratory of Automatic and Production "LAP", University of Batna 2, Batna, 05001, Algeria ' Industrial Engineering Department, Laboratory of Automatic and Production "LAP", University of Batna 2, Batna, 05001, Algeria

Abstract: In a developed commercial world, the optimisation of supply chains is a very attractive area of research; and as we know that the optimisation of each link can contribute to the optimisation of the entire supply chain, our study aims to propose an evaluation approach which will serve as an IT decision support tool, innovated to optimise the operation of evaluation and selection of a best supplier, and in response to the demand of managers of textile companies seeking to improve their market shares, the program proposed translates the algorithm which summarises the sequence of steps present in an operation of evaluation of offers based on three criteria considered the most important for the supply of cotton by the managers of textile companies, it responds with the best choice with reliable information and in a very limited time and above all by avoiding calculation errors as in traditional cases.

Keywords: developed supply chain; optimisation algorithm; selection supplier; evaluation criteria; digitalisation; textile supply chain.

DOI: 10.1504/IJBPSCM.2025.150392

International Journal of Business Performance and Supply Chain Modelling, 2025 Vol.15 No.4, pp.415 - 430

Accepted: 07 Jun 2025
Published online: 12 Dec 2025 *

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