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Implementation of six sigma for reducing rework in assembly lines: A case study

Rajkumar Bauri Bauri

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Paper Contents

Abstract

Abstract: Rework in assembly lines is a practice that has persistently affected manufacturing industry in its endeavor to realize the feat of operation excellence and product quality. In this review article, the approaches, instruments, and results related to the incorporation of the Six Sigma strategies with a view of eliminating rework during assembly line operations as discussed in the case study in question are critically analyzed. Due to emphasis on DMAIC (Define, Measure, Analyze, Improve, and Control) process, the review compiles how systematic problem-solving methods, data-based analysis and continuous improvement strategies could remarkably boost manufacturing performance. This paper determines how effective some of the Six Sigma tools such as Pareto analysis, root cause analysis, and control charts have been in detecting sources of main defects and making process improvements that are long term. A special focus is put on pragmatic interventions like operator training, standardization of the processes, optimization of the equipment, which all added to an identifiable drop in rework rates and costs of production. Moreover, the focus of study is positioned in the context of broader literature in order to demonstrate the trends, issues, and best practice regarding quality management. This study combines the ideas of both the case study and related research, giving an in-depth insight concerning the question of how Six Sigma can be used as an effective tool in the enhancement of quality in contemporary assembly line performance. The paper ends by giving suggestions to future work and implementation initiatives that would allow taking advantage of the potential of Six Sigma in various industrial environments.Keywords: Six Sigma, DMAIC methodology, Assembly line optimization, Rework reduction, Quality improvement, Lean manufacturing and Process control etc.

Copyright

Copyright © 2025 Rajkumar Bauri. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50700037925
ISSN: 2321-9653
Publisher: ijprems
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