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Prevention of industrial accidents using Six Sigma approach

Prevention of industrial accidents using Six Sigma approach Purpose – The purpose of this paper is to utilize the power of Six Sigma, a disciplined approach to improve quality of product, process or service quality, for accident prevention in the manufacturing industry. Design/methodology/approach – This paper presents the basic features of DMAIC methodology of Six Sigma and its application for the purpose of accident prevention; illustrates the set of tools and techniques to be used at different phases of DMAIC for accident data analysis; and outlines the DMAIC methodology by analyzing accident data from a large process industry in India. Findings – The systematic and logical approach of Six Sigma problem solving could identify many root causes for accident and identification and deployment of corrective actions horizontally to relevant processes. Originality/value – Six Sigma has been successfully implemented in improving manufacturing processes but its application for the purpose of accident prevention is still limited. This paper demonstrates that Six Sigma principle can resolve such problems, and can be used by any plant to solve similar problems of accident prevention. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Lean Six Sigma Emerald Publishing

Prevention of industrial accidents using Six Sigma approach

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Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
2040-4166
DOI
10.1108/20401461111157178
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to utilize the power of Six Sigma, a disciplined approach to improve quality of product, process or service quality, for accident prevention in the manufacturing industry. Design/methodology/approach – This paper presents the basic features of DMAIC methodology of Six Sigma and its application for the purpose of accident prevention; illustrates the set of tools and techniques to be used at different phases of DMAIC for accident data analysis; and outlines the DMAIC methodology by analyzing accident data from a large process industry in India. Findings – The systematic and logical approach of Six Sigma problem solving could identify many root causes for accident and identification and deployment of corrective actions horizontally to relevant processes. Originality/value – Six Sigma has been successfully implemented in improving manufacturing processes but its application for the purpose of accident prevention is still limited. This paper demonstrates that Six Sigma principle can resolve such problems, and can be used by any plant to solve similar problems of accident prevention.

Journal

International Journal of Lean Six SigmaEmerald Publishing

Published: Aug 9, 2011

Keywords: Six Sigma; Classification analysis; Regression tree; Hazards; Accident prevention; Risk assessment; Industrial accidents

References