Assess the Impact of process variations on the length of time in Lean Six Sigma Methodology by using fuzzy Regression Model

Document Type : Production & Operations Management

Author

: PhD student Department of Industrial Management Unit, Islamic Azad University, Tabriz, Iran.

Abstract

The ultimate goal of any improvements that provide higher quality product or service is customer. The most common methodology, Six Sigma and Lean Six Sigma methodology is DMAIC. This methodology based on five phases: defining the problem, measure, analyze, improve and control is defined. In the meantime one of the most important phases, phase analysis because in this phase of the root causes of potential due to its effects on the quality of critical factors are identified and defined. The purpose of this study is to assess the impact of process variables on the length of time in Lean Six Sigma methodology using fuzzy regression model was. The results of the study showed that all five variables known to influence the length of time to process. The results also showed that three variables: inadequate staff skills, and lack of necessary equipment, tools, and equipment breakdowns and tools necessary to have the greatest impact on the independent variable Also among these three variables inadequate staff skills, influential independent variable on the dependent variable. According to the research data and the number of variables, fuzzy regression model detailed and correct analysis of the impact of independent variables on the dependent variable was provided.

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References

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History

  • Receive Date: 18 February 2017
  • Revise Date: 12 September 2017
  • Accept Date: 26 June 2017

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