Title: An integrated approach of ISM and fuzzy TOPSIS for supplier selection

Authors: Tran Thi Tham; Nguyen Trong Tri Duc; Tran Thi My Dung; Hong-Phuc Nguyen

Addresses: Department of Industrial Management, College of Engineering Technology, Can Tho University, Can Tho, Vietnam ' Department of Industrial Management, College of Engineering Technology, Can Tho University, Can Tho, Vietnam ' Department of Industrial Management, College of Engineering Technology, Can Tho University, Can Tho, Vietnam ' Department of Industrial Management, College of Engineering Technology, Can Tho University, Can Tho, Vietnam

Abstract: Supplier selection is one of the most important tasks that contribute to the success of supply chain management. Choosing the right supplier will bring many benefits to the enterprises, such as costs reduction, profit increase, flexibility and competitiveness improvement. This study is conducted to develop a methodology that provides suitable supplier selection solution. Firstly, a set of 23 criteria are used to analyse the relationships between criteria by using interpretive structural modelling (ISM). The less important criteria will be eliminated though the model. Next, the fuzzy TOPSIS method, which focus on the distance from alternatives to positive ideal solution and negative ideal solution is applied to evaluate and rank suppliers. The result of ISM suggests choosing 22 appropriate criteria among the original 23 criteria used for the supplier selection problem. The result of fuzzy TOPSIS shows the ranking of six suppliers through a case study of a plastic packaging company.

Keywords: interpretive structural modelling; ISM; TOPSIS; supplier selection; fuzzy theory; supply chain management.

DOI: 10.1504/IJPM.2020.10030819

International Journal of Procurement Management, 2020 Vol.13 No.5, pp.701 - 735

Received: 01 Jun 2019
Accepted: 09 Jun 2019

Published online: 05 Oct 2020 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article