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International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749 . Open Access


Significant Factors of the Successful Lean Six-Sigma Implementation

Significant Factors of the Successful Lean Six-Sigma Implementation

Ljubisa Papic
University of Kragujevac, Faculty of Technical Sciences Cacak, Serbia and DQM Research Center, Prijevor, Serbia.

Mihailo Mladjenovic
University of Toronto SCS, The Sensei Group Aurora, Canada.

Andres Carrion Garcia
Polytechnic University of Valencia, Department of Statistics, Operation Research and Quality, Valencia, Spain.

Deepti Aggrawal
Keshav Mahavidyalaya, University of Delhi, Delhi-110034, India.

DOI https://dx.doi.org/10.33889/IJMEMS.2017.2.2-009

Received on September 29, 2016
  ;
Accepted on November 30, 2016

Abstract

Based on an extensive literature review we have selected factors critical for Lean Six Sigma implementation success. Four variables were selected to be used as output variables measuring this project success: project on time completion, achievement of financial goals, sigma level achieved (that was measured using Defects per Million Opportunities, DPMO), and overall project success. Using empirical data from 256 Lean Six Sigma Projects, we present the model developed and identify significant factors for Lean Six Sigma implementation success. Empirical results, which were collected during Lean Six Sigma implementation in 39 business units of an Automotive Sector Company in North America and Europe, were analysed using Multivariate Analysis of Variance (MANOVA) and General Linear Model (GLM). Two main factors were found as positively linked with the different aspects of project success: the competency of the Black Belts team and the management support to the project.

Keywords- Lean six sigma, Success factors, Statistical modeling, Six sigma project.

Citation

Papic, L., Mladjenovic, M., Garcia, A. C., & Aggrawal, D. (2017). Significant Factors of the Successful Lean Six-Sigma Implementation. International Journal of Mathematical, Engineering and Management Sciences, 2(2), 85-109. https://dx.doi.org/10.33889/IJMEMS.2017.2.2-009.