A framework for prioritizing and allocating the six sigma projects using fuzzy TOPSIS and fuzzy expert system

Authors

1 Department of Industrial Management, Faculty of Management, Allameh ‎Tabataba’i University Business School (ATUBS), Tehran, Iran‎

2 Business Management Department, Faculty of Economics and Management, Semnan ‎University, Semnan, Iran

3 Department of Industrial Management, Faculty of Management, Allameh Tabataba’i ‎University Business School (ATUBS), Tehran, Iran‎

Abstract

Project selection process can be known as the most important action in the success of Six Sigma projects. In this way, ranking and assigning projects to implementation teams are considered as the most important steps in this process. There are copious of researches have worked on Six Sigma Projects Selection (SSPS). None of them, although, have not focused on selecting and allocating the projects as coherent process simultaneously. In this regard, this article presents a framework for decision making, selecting and assigning the six sigma projects to implementation teams. Owing to this, first of all, the most important criteria in SSPS process are selected. Subsequently, after identifying six sigma potential projects in the organization, fuzzy TOPSIS methodology is utilized to prioritize them. Afterwards, the Impact and Effort indexes for each project are calculated. Then, the Takagi-Sugeno-Kang(TSK) Fuzzy Expert System is used to allocate the projects to six sigma specialists. Finally, a case study in automobile industry is presented and then the framework is discussed to illustrate the application of the frameworkdeveloped.

Keywords

Scientia Iranica
Volume 21, Issue 6 - Serial Number 6
Transactions on Industrial Engineering (E)
December 2014
Pages 2281-2294

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History

  • Receive Date: 26 January 2014
  • Revise Date: 21 December 2024
  • Accept Date: 27 July 2017

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