Measuring six sigma project effectiveness using fuzzy approach

Sanjit Ray, Prasun Das, B. K. Bhattacharyay, Jiju Antony

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

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.

Original languageBritish English
Pages (from-to)417-430
Number of pages14
JournalQuality and Reliability Engineering International
Volume29
Issue number3
DOIs
StatePublished - Apr 2013

Keywords

  • fuzzy Logic
  • linguistic variables
  • project measurement system
  • Six Sigma

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