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

Authors: Mohammad Hashemi Tabatabaei; Seyed Mohammad Ali Khatami Firouzabadi; Maghsoud Amiri; Mohammad Ghahremanloo

Addresses: Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, 14348-63111 Tehran, Iran ' Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, 14348-63111 Tehran, Iran ' Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, 14348-63111 Tehran, Iran ' Department of Management, Faculty of Industrial Engineering and Management, Shahrood University of Technology, 36199-95161 Shahrood, Iran

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.

DOI: 10.1504/IJBCRM.2020.111766

International Journal of Business Continuity and Risk Management, 2020 Vol.10 No.4, pp.267 - 277

Received: 15 Mar 2019
Accepted: 01 Oct 2019
Published online: 14 Dec 2020 *

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