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  • 标题:Six Sigma Project Selection Using Fuzzy TOPSIS Decision Making Approach
  • 本地全文:下载
  • 作者:Rajeev Rathi ; Dinesh Khanduja ; S.K. Sharma
  • 期刊名称:Management Science Letters
  • 印刷版ISSN:1923-9335
  • 电子版ISSN:1923-9343
  • 出版年度:2015
  • 卷号:5
  • 期号:5
  • 页码:447-456
  • DOI:10.5267/j.msl.2015.3.009
  • 出版社:Growing Science
  • 摘要:Six Sigma is considered as a logical business strategy that attempts to identify and eliminate the defects or failures for improving the quality of product and processes. A decision on project selection in Six Sigma is always very critical; it plays a key role in successful implementation of Six Sigma. Selection of a right Six Sigma project is essentially important for an automotive company because it greatly influences the manufacturing costs. This paper discusses an approach for right Six Sigma project selection at an automotive industry using fuzzy logic based TOPSIS method. The fuzzy TOPSIS is a well recognized tool to undertake the fuzziness of the data involved in choosing the right preferences. In this context, evaluation criteria have been designed for selection of best alternative. The weights of evaluation criteria are calculated by using the MDL (modified digital logic) method and final ranking is calculated through priority index obtained by using fuzzy TOPSIS method. In the selected case study, this approach has rightly helped to identify the right project for implementing Six Sigma for achieving improvement in productivity.

  • 关键词:Six Sigma; Modified digital logic; Fuzzy logic; MADM; TOPSIS
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