Title: Selecting Six Sigma projects with interval data envelopment analysis

Authors: Alireza Alinezhad; Nushin Samadi Bahrami; Abolfazl Kazemi; Keyvan Sarrafha

Addresses: Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, P.O. Box 34185-1416, Qazvin, Iran ' Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, P.O. Box 34185-1416, Qazvin, Iran ' Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, P.O. Box 34185-1416, Qazvin, Iran ' Young Researchers and Elite Club, Qazvin Branch, Islamic Azad University, P.O. Box 34185-1416, Qazvin, Iran

Abstract: Six Sigma is a well-structured methodology for improving the quality of processes and products. The efforts to implement a Six Sigma process improvement initiative cannot alone guarantee success of it. It is essential to prioritise projects which provide maximum financial benefits to the organisation. Generating and prioritising the critical Six Sigma projects, however, are real challenges in practice because any project is not finished yet. For solving this problem we use interval data. This paper aims to develop an interval data envelopment analysis (DEA) to prioritise Six Sigma projects. We use a dummy project for full ranking of Six Sigma projects.

Keywords: six sigma projects; data envelopment analysis; interval DEA; project selection; interval data; data envelopment analysis; project ranking.

DOI: 10.1504/IJQI.2013.057002

International Journal of Quality and Innovation, 2013 Vol.2 No.2, pp.138 - 147

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 05 Oct 2013 *

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