Title: Identification and ranking of enablers of green lean Six Sigma implementation using AHP

Authors: Harsha Pandey; Dixit Garg; Sunil Luthra

Addresses: Department of Mechanical Engineering, National Institute of Technology, Kurukshetra 136119, India ' Department of Mechanical Engineering, National Institute of Technology, Kurukshetra 136119, India ' Department of Mechanical Engineering, Government Engineering College, Nilokheri 132117, India

Abstract: Improved environmental measures, waste reduction, cost optimisation and increased quality of products/services have now become the main objectives of the organisations. In this study, an attempt towards fulfilling the above goals has been made by proposing the concept of 'green lean Six Sigma (GLS)'. The study emphasises the implementation of GLS concept by identifying and ranking of various enablers. Five enabler dimensions and 18 enablers of GLS concept implementation have been identified through combined association of existing literature and opinions of experts' from appropriate field. Analytic hierarchy process (AHP) approach is applied for ranking of these enabler dimensions and enablers. In AHP, pair wise comparisons are all done considering the opinions of experts. Further, the obtained results are validated using sensitivity analysis.

Keywords: analytic hierarchy process; AHP; green lean Six Sigma; GLS; enablers for implementing GLS; Indian manufacturing industry.

DOI: 10.1504/IJPQM.2018.089156

International Journal of Productivity and Quality Management, 2018 Vol.23 No.2, pp.187 - 217

Received: 26 May 2016
Accepted: 09 Dec 2016

Published online: 08 Jan 2018 *

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