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Measuring Six Sigma Project Effectiveness using Fuzzy Approach
Authors:Sanjit Ray  Prasun Das  B K Bhattacharyay  Jiju Antony
Affiliation:1. SQC & OR Division, Indian Statistical Institute, , Bangalore, 560 059 India;2. SQC & OR Division, Indian Statistical Institute, , Kolkata, 700 108 India;3. Department of Mechanical Engineering, Bengal Engineering and Science University, , Shibpur, Howrah, 711 103 India;4. Centre for Research in Six Sigma and Process Improvement, Caledonian Business School, , Glasgow, Scotland, UK
Abstract:Six Sigma methodology for process improvement is being used by industries to improve customer satisfaction, business results or both. The success of Six Sigma implementation can be measured by evaluating the effectiveness of the completed projects. The other objective of project effectiveness measurement scheme is to keep the team focused and motivated. A good measurement system should be able to measure and compare projects of various types and need, including benefits from the projects. The project effectiveness measurement scheme should include success factors like project selection, involvement of management, results achieved, conduct of the project and monitoring and review of the project. A Six Sigma project effectiveness evaluation system is generally based on the perception of people that can result in unreliable measurement. To overcome this deficiency, we used a fuzzy approach based on linguistic variables and fuzzy numbers for measuring the project effectiveness in this study by using the perception of management. Two methods for measuring effectiveness of selected sample projects are suggested. The outcome from this research would be helpful for the practicing industries to use this methodology for an unbiased evaluation of completed projects. Copyright © 2012 John Wiley & Sons, Ltd.
Keywords:Six Sigma  fuzzy Logic  linguistic variables  project measurement system
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