Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 36, Pages: 1-6
Mohammad Nassiri1*, Sajjad Shokohyar1 and Soheila Bostanshirin2
1 Department of Management and Accounting, Shahid Beheshti University, Tehran, Iran; [email protected], [email protected]
2 Shahid Beheshti University, Tehran, Iran; [email protected]
Background/Objectives: Iran’s automotive industry is not expected progress despite efforts to create suitable quality control methods such as TQM and Six Sigma. There’s much debate but the most important thing that can be referred to lack of sufficient information on the factors and key challenges to effective implementation of quality processes such as Six Sigma. Methods/Statistical Analysis: In this study to identify factors and challenges in the implementation of Six Sigma deals and finally, the optimal allocation of resources and help managers decide to pay Ranking Factors. This study from the method perspective of descriptive-survey and from the target perspective of application. Place territory inquiries are Iran Khodro and Saipa companies and the period of study on 1393. To identify the factors affecting the implementation of Six Sigma was used the Delphi method and to determine relationships between variables was used structure equations model. The rating factors identified as AHP Fuzzy Multi Attribute Decision Making techniques. Results: As a result, 5 variables were identified as the most important factors affecting the implementation of Six Sigma: Top management commitment, training systems, prioritization of projects, customer-oriented, and organizational culture. Finally, based on the FAHP commitment of senior management, organizational culture, educational system, customer focus and prioritization of projects were ranked. Conclusion/Application: The objective of this paper is identify factors and challenges in the implementation of Six Sigma deals and finally, for help managers to resource allocation decisions, rank the factors described above.
Keywords: FAHP, Important Factors, Six Sigma, SEM
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