Article: Solving supplier selection problem in a textile industry using an integrated grey-MABAC method Journal: International Journal of Business Performance and Supply Chain Modelling (IJBPSCM) 2025 Vol.15 No.3 pp.315 - 337 Abstract: Like other industries, selection of suppliers in a textile mill also plays a decisive role by providing right quality of raw materials/components/dyes and chemicals in right quantities at right time and affordable cost, thereby establishing an effective supply chain. Acknowledging supplier selection/evaluation as a multi-criteria decision-making (MCDM) problem, various mathematical tools have been proposed to resolve the issue. In this paper, a grey-based MCDM approach, i.e. grey-multi-attributive border approximation area comparison (G-MABAC) method is proposed for solving a textile supplier selection problem, expressing relative importance of the decision makers, criteria and alternatives using grey numbers. Based on the performance scores, G-MABAC partitions six alternative suppliers into upper approximation (reliable) and lower approximation (unreliable) areas, identifying the relative strengths and weaknesses of each of them. It would act as an intelligent decision support framework in effectively adopting multi-sourcing strategy for enhanced resilience with minimum disruption in the textile supply chain. Inderscience Publishers - linking academia, business and industry through research

Title: Solving supplier selection problem in a textile industry using an integrated grey-MABAC method

Authors: Santonab Chakraborty; Rakesh D. Raut; T.M. Rofin; Shankar Chakraborty

Addresses: Indian Institute of Management, Mumbai, 400 087, India ' Indian Institute of Management, Mumbai, 400 087, India ' Indian Institute of Management, Mumbai, 400 087, India ' Department of Production Engineering, Jadavpur University, Kolkata, 700 032, West Bengal, India

Abstract: Like other industries, selection of suppliers in a textile mill also plays a decisive role by providing right quality of raw materials/components/dyes and chemicals in right quantities at right time and affordable cost, thereby establishing an effective supply chain. Acknowledging supplier selection/evaluation as a multi-criteria decision-making (MCDM) problem, various mathematical tools have been proposed to resolve the issue. In this paper, a grey-based MCDM approach, i.e. grey-multi-attributive border approximation area comparison (G-MABAC) method is proposed for solving a textile supplier selection problem, expressing relative importance of the decision makers, criteria and alternatives using grey numbers. Based on the performance scores, G-MABAC partitions six alternative suppliers into upper approximation (reliable) and lower approximation (unreliable) areas, identifying the relative strengths and weaknesses of each of them. It would act as an intelligent decision support framework in effectively adopting multi-sourcing strategy for enhanced resilience with minimum disruption in the textile supply chain.

Keywords: supplier selection; textile industry; grey number; MABAC; multi-attributive border approximation area comparison; ranking.

DOI: 10.1504/IJBPSCM.2025.147103

International Journal of Business Performance and Supply Chain Modelling, 2025 Vol.15 No.3, pp.315 - 337

Received: 21 Nov 2023
Accepted: 25 Dec 2024
Published online: 10 Jul 2025 *

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Title: Solving supplier selection problem in a textile industry using an integrated grey-MABAC method

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