A group evaluation method for supplier selection based on interval type-2 fuzzy TOPSIS method

Ashoke Kumar Bera, Dipak Kumar Jana, Debamalya Banerjee and Titas Nandy

International Journal of Business Performance and Supply Chain Modelling, 2021, vol. 12, issue 1, 1-26

Abstract: Supplier assessment has been a vital issue of strategic importance in a supply chain. It helps to reduce operating cost, improve competitiveness and to develop business opportunities. However, supplier selection is usually a complex and unstructured activity, involves the consideration of various characteristics simultaneously such as large number of alternatives, multiple criteria involved in the evaluation process as well as group of experts with diverse backgrounds. This study intends to propose a framework using interval type-2 fuzzy (IT2F) TOPSIS method for selection of suitable suppliers in an imprecise environment for an Indian spare parts manufacturing company. Seven important criteria are considered for evaluating suppliers. A practical analysis is carried out and the data are collected from a set of five prospective suppliers. The major influencing factors in the case company are found to be price of product, technological capability, relationship closeness, conformance to quality and experience of supplier.

Keywords: multiple-criteria decision-making; supplier selection; group decision making; interval type-2 fuzzy sets; interval type-2 fuzzy TOPSIS. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=114722 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbpsc:v:12:y:2021:i:1:p:1-26

Access Statistics for this article

More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().