AJIBM  Vol.4 No.12 , December 2014
Prioritizing Critical Success Factors for Six Sigma Implementation Using Interpretive Structural Modeling
Abstract: The purpose of this paper is to provide a practical approach for prioritizing the most practiced Critical Success Factors (CSFs) for six sigma implementation. The most commonly accepted CSFs for six sigma were identified from the literature. Then, the interactions among twelve CSFs have been studied using one of the mathematical/soft-operational research tools, that is, the Interpretative Structural Modeling (ISM). The developed model was illustrated using a case study selected from an automotive service industry. The findings implied that almost all of the CSFs are classified as linkage variables. The developed model provides a road map that assists practitioners to understand the process through which six sigma is practiced in a certain enterprise. Although the studied case was selected from the automotive service industry, the outcome of the proposed ISM model supported the results of the previous empirical studies in a sense that all factors for six sigma implementation were in fact critical (i.e. none of them was located within the autonomous category).
Cite this paper: Alidrisi, H. (2014) Prioritizing Critical Success Factors for Six Sigma Implementation Using Interpretive Structural Modeling. American Journal of Industrial and Business Management, 4, 697-708. doi: 10.4236/ajibm.2014.412075.

[1]   Raisinghani, M.S., Ette, H., Pierce, R., Cannon, G. and Daripaly, P. (2005) Six Sigma: Concepts, Tools, and Applications. Industrial Management & Data Systems, 105, 491-505.

[2]   Snee, R.D. (2004) Six-Sigma: The Evolution of 100 Years of Business Improvement Methodology. International Journal of Six Sigma and Competitive Advantage, 1, 4-20.

[3]   Antony, J., Kumar, M. and Madu, C.N. (2005) Six Sigma in Small- and Medium-Sized UK Manufacturing Enterprises: Some Empirical Observations. International Journal of Quality & Reliability Management, 22, 860-874.

[4]   Kumar, M., Antony, J., Singh, R.K., Tiwari, M.K. and Perry, D. (2006) Implementing the Lean Sigma Framework in an Indian SME: A Case Study. Production Planning and Control, 17, 407-423.

[5]   Antony, J. (2007) Is Six Sigma a Management Fad or Fact? Assembly Automation, 27, 17-19.

[6]   Mayor, T. (2004) Six Sigma Comes to IT Targeting Perfection. CIO Magazine, 3, 12-16.

[7]   Henderson, K.M. and Evans, J.R. (2000) Successful Implementation of Six Sigma: Benchmarking General Electric Company. Benchmarking: An International Journal, 7, 260-282.

[8]   Antony, J. and Banuelas, R. (2002) Key Ingredients for the Effective Implementation of Six Sigma Program. Measuring Business Excellence, 6, 20-27.

[9]   Coronado, R.B. and Antony, J. (2002) Critical Success Factors for the Successful Implementation of Six Sigma Projects in Organizations. The TQM Magazine, 14, 92-99.

[10]   Starbird, C.D. (2002) Business Excellence: Six Sigma as a Management System. Annual Quality Congress Proceedings—American Society for Quality Control, ASQ, 47-56.

[11]   Johnson, A. and Swisher, B. (2003) How Six Sigma Improves R&D. Research Technology Management, 46, 12-15.

[12]   Kwak, Y.H. and Anbari, F.T. (2006) Benefits, Obstacles, and Future of Six Sigma Approach. Technovation, 26, 708-715.

[13]   Brun, A. (2011) Critical Success Factors of Six Sigma Implementations in Italian Companies. International Journal of Production Economics, 131, 158-164.

[14]   Rockart, J.F. (1979) Chief Executives Define Their Own Data Needs. Harvard Business Review, 57, 81-93.

[15]   Zu, X., Robbins, T.L. and Fredendall, L.D. (2010) Mapping the Critical Links between Organizational Culture and TQM/Six Sigma Practices. International Journal of Production Economics, 123, 86-106.

[16]   Kanungo, S. and Bhatnagar, V.V. (2002) Beyond Generic Models for Information System Quality: The Use of Interpretive Structural Modeling (ISM). Systems Research and Behavioral Science, 19, 531-549.

[17]   Harary, F.N.R. and Cartwright, D. (1965) Structural Models: An Introduction to the Theory of Directed Graphs. Wiley, New York.

[18]   Waller, R.J. (1980) Contextual Relations and Mathematical Relations in Interpretive Structural Modeling. IEEE Transactions on Systems, Man and Cybernetics, 10, 143-145.

[19]   Ohuchi, A., Kurihara, M. and Kaji, I. (1986) Implication Theory and Algorithm for Reachability Matrix Model. IEEE Transactions on Systems, Man and Cybernetics, 16, 610-616.

[20]   Warfield, J.N. (1973) An Assault on Complexity. Battelle Memorial Institute, Columbus.

[21]   Kanungo, S. (2005) Using Process Theory to Analyze Direct and Indirect Value-Drivers of Information Systems. HICSS’05. Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 3-6 January 2005, 231c.

[22]   Anantatmula, V. and Kanungo, S. (2008) Role of IT and KM in Improving Project Management Performance. VINE, 38, 357-369.

[23]   Faisal, M.N. (2010) Sustainable Supply Chains: A Study of Interaction among the Enablers. Business Process Management Journal, 16, 508-529.

[24]   Mandal, A. and Deshmukh, S.G. (1994) Vendor Selection Using Interpretive Structural Modelling (ISM). International Journal of Operations & Production Management, 14, 52-59.

[25]   Jharkharia, S. and Shankar, R. (2004) IT Enablement of Supply Chains: Modeling the Enablers. International Journal of Productivity and Performance Management, 53, 700-712.

[26]   Thakkar, J., Deshmukh, S.G., Gupta, A.D. and Shankar, R. (2006) Development of a Balanced Scorecard: An Integrated Approach of Interpretive Structural Modeling (ISM) and Analytic Network Process (ANP). International Journal of Productivity and Performance Management, 56, 25-59.

[27]   Singh, M.D. and Kant, R. (2008) Knowledge Management Barriers: An Interpretive Structural Modeling Approach. International Journal of Management Science and Engineering Management, 3, 141-150.

[28]   Kannan, G., Haq, A.N., Sasikumar, P. and Arunachalam, S. (2008) Analysis and Selection of Green Suppliers Using Interpretative Structural Modelling and Analytic Hierarchy Process. International Journal of Management and Decision Making, 9, 163-182.

[29]   Soti, A., Shankar, R. and Kaushal, O.P. (2010) Modeling the Enablers of Six Sigma Using Interpreting Structural Modeling. Journal of Modelling in Management, 5, 124-141.

[30]   Singh, A.K. (2013) Modeling Enablers of TQM to Improve Airline Performance. International Journal of Productivity and Performance Management, 62, 250-275.

[31]   Tripathy, S., Sahu, S. and Ray, P.K. (2013) Interpretive Structural Modelling for Critical Success Factors of R&D Performance in Indian Manufacturing Firms. Journal of Modelling in Management, 8, 212-240.

[32]   Raeesi, R., Dastrang, M., Mohammadi, S. and Rasouli, E. (2013) Understanding the Interactions among the Barriers to Entrepreneurship Using Interpretive Structural Modeling. International Journal of Business and Management, 8, 56.

[33]   Ansari, M.F., Kharb, R.K., Luthra, S., Shimmi, S.L. and Chatterji, S. (2013) Analysis of Barriers to Implement Solar Power Installations in India Using Interpretive Structural Modeling Technique. Renewable and Sustainable Energy Reviews, 27, 163-174.

[34]   Gorane, S.J. and Kant, R. (2013) Modelling the SCM Enablers: An Integrated ISM-Fuzzy MICMAC Approach. Asia Pacific Journal of Marketing and Logistics, 25, 263-286.

[35]   Mathiyazhagan, K. and Haq, A.N. (2013) Analysis of the Influential Pressures for Green Supply Chain Management Adoption—An Indian Perspective Using Interpretive Structural Modeling. The International Journal of Advanced Manufacturing Technology, 68, 817-833.

[36]   Kumar, S., Luthra, S. and Haleem, A. (2013) Customer Involvement in Greening the Supply Chain: An Interpretive Structural Modeling Methodology. Journal of Industrial Engineering International, 9, 6.

[37]   Govindan, K., Kannan, D., Mathiyazhagan, K., Jabbour, A.B.L.D.S. and Jabbour, C.J.C. (2013) Analysing Green Supply Chain Management Practices in Brazil’s Electrical/Electronics Industry Using Interpretive Structural Modelling. International Journal of Environmental Studies, 70, 477-493.

[38]   Li, T.B. and Li, S.D. (2013) Application of ISM in Influence Factors of Human Resource Training Effects of Transportation Enterprises. In: The 19th International Conference on Industrial Engineering and Engineering Management, Springer, Berlin Heidelberg, 845-852.

[39]   Azevedo, S., Carvalho, H. and Cruz-Machado, V. (2013) Using Interpretive Structural Modelling to Identify and Rank Performance Measures: An Application in the Automotive Supply Chain. Baltic Journal of Management, 8, 208-230.

[40]   Mehta, N., Verma, P. and Seth, N. (2013) Total Quality Management Implementation in Engineering Education in India: An Interpretive Structural Modelling Approach. Total Quality Management & Business Excellence, 25, 124-140.