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Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print)
Quarterly Publication
Volume 8 Issue 8 pp. 849-858 , 2018

Six-sigma derivatives: A case study Pages 849-858 Right click to download the paper Download PDF

Authors: Pardeep Rana, Prabhakar Kaushik

DOI: 10.5267/j.msl.2018.6.003

Keywords: Productivity Improvement, Six-Sigma, DMAIC, Problem Solving, Process capability

Abstract: Nowadays, automobile industries are facing huge competition as the sector is expanding and ame-liorating day by day. All organizations are thriving to attain top position by increasing their produc-tivity. Productivity improvement is a function of eliminating rejection problem and improving system. To excel and improve the organizational efficiency a complete focus on finding root causes and eliminating factors responsible is needed. In industries, hurdles are associated with all operations. The existing study is about problem solving in a diecasting industry manufacturing alternator bracket. The authors explain the use of different statistical quality tools with the help of Minitab software to analyze root cause for enhancing the low productivity level. The streaming explanation of methodology can be useful for the organization of similar profile towards productivity improvement.

How to cite this paper
Rana, P & Kaushik, P. (2018). Six-sigma derivatives: A case study.Management Science Letters , 8(8), 849-858.

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Journal: Management Science Letters | Year: 2018 | Volume: 8 | Issue: 8 | Views: 1766 | Reviews: 0

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