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Measuring Six Sigma Project Effectiveness using Fuzzy Approach
Author(s) -
Ray Sanjit,
Das Prasun,
Bhattacharyay B. K.,
Antony Jiju
Publication year - 2013
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1391
Subject(s) - six sigma , project team , project management , sample (material) , customer satisfaction , scheme (mathematics) , process management , measure (data warehouse) , project management triangle , fuzzy logic , process (computing) , computer science , engineering , operations management , management science , knowledge management , systems engineering , business , marketing , data mining , artificial intelligence , mathematics , mathematical analysis , chemistry , chromatography , lean manufacturing , operating system
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.