Title: An integrated FAHP and TOPSIS for supplier selection under uncertainty: a case study in electrical explosion protection and sensor company

Authors: Le Thu Trang Nguyen; Thi Huyen Trang Nguyen; Duc Duy Nguyen

Addresses: Department of Industrial Systems Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam; Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam ' Department of Industrial Systems Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam; Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam ' Department of Industrial Systems Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam; Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam

Abstract: Supplier selection plays a vital role in supplier management, which decides the success of the supply chain. This study proposes a supplier selection framework, FAHP-TOPSIS, to overcome the challenges associated with imprecise information in the decision-making process. A list of criteria is initially identified through an extensive literature review and expert interviews. Subsequently, the FAHP technique is employed to determine the weights assigned to each criterion. Following this, the TOPSIS method is applied to rank and select the most suitable alternatives from the pool of potential suppliers. To validate the effectiveness of the proposed supplier selection framework, a practical case study is conducted within the context of electrical explosion protection and sensor companies in Vietnam. A sensitivity analysis is performed to examine the robustness of the criterion weights and ranking of suppliers. The findings consistently demonstrate that product cost and quality consistently rank as the top-priority factors in supplier selection.

Keywords: supplier selection; fuzzy analytic hierarchy process; TOPSIS; fuzzy theory; procurement.

DOI: 10.1504/IJAMS.2024.140045

International Journal of Applied Management Science, 2024 Vol.16 No.3, pp.304 - 328

Received: 26 Oct 2023
Accepted: 05 Feb 2024
Published online: 16 Jul 2024 *

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