A combination of the fuzzy best-worst and Vikor methods for prioritisation the Lean Six Sigma improvement projects

Mohammad Hashemi Tabatabaei, Seyed Mohammad Ali Khatami Firouzabadi, Maghsoud Amiri and Mohammad Ghahremanloo

International Journal of Business Continuity and Risk Management, 2020, vol. 10, issue 4, 267-277

Abstract: In today's competitive world, the number of organisations using Lean Six Sigma techniques is increasing widely. The Six Sigma concept was originally developed to improve the efficiency and quality of manufactured products, but is now widely used by financial institutions, hospitals, retailers and other service industries. One of the most important issues in this regard is the selection of Six Sigma improvement projects. The purpose of this paper is to rank and prioritise the Lean Six Sigma improvement projects by introducing a method which is a combination of fuzzy best-worst and Vikor methods. A total of ten improvement projects were selected. The weights of the criteria were obtained by using the fuzzy best-worst method and the Lean Six Sigma improvement projects were ranking by using the Vikor method. The results of this study showed that improvement project #5 had highest significance and it was placed at the first priority.

Keywords: fuzzy best-worst method; improvement project; Lean Six Sigma; Vikor method. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=111766 (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:ijbcrm:v:10:y:2020:i:4:p:267-277

Access Statistics for this article

More articles in International Journal of Business Continuity and Risk Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().