REDUCING PROCESS VARIABILITY BY USING DMAIC MODEL: A CASE STUDY IN BANGLADESH

Ripon Kumar Chakrabortty · Tarun Kumer Biswas · Iraj Ahmed

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Quality and Supply Management Management and Optimization Techniques Management Systems and Quality Improvement

Abstract

Now-a-day's many leading manufacturing industry have started to practice Six Sigma and Lean manufacturing concepts to boost up their productivity as well as quality of products. In this paper, the Six Sigma approach has been used to reduce process variability of a food processing industry in Bangladesh. DMAIC (Define,Measure, Analyze, Improve, & Control) model has been used to implement the Six Sigma Philosophy. Five phases of the model have been structured step by step respectively. Different tools of Total Quality Management, Statistical Quality Control and Lean Manufacturing concepts likely Quality function deployment, P Control chart, Fish-bone diagram, Analytical Hierarchy Process, Pareto analysis have been used in different phases of the DMAIC model. The process variability have been tried to reduce by identify the root cause of defects and reducing it. The ultimate goal of this study is to make the process lean and increase the level of sigma.

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2004Benefits, obstacles, and future of six sigma approach 2012An analysis of the Six Sigma DMAIC method from the perspective of problem solving 2009Six Sigma programs: An implementation model 2010Critical success factors of Six Sigma implementations in Italian companies 2008Six-Sigma project selection using national quality award criteria and Delphi fuzzy multiple criteria decision-making method 2011Lean Six Sigma methodology and application 2011A Real Option based Six Sigma project evaluation and selection model 2008Optimizing order fulfillment using design for six sigma and fuzzy logic

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