Skip to main content
Log in

Application of AHP for Ranking of Total Productive Maintenance Pillars

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Total Productive Maintenance—TPM is widely being used in industries for manufacturing excellence. TPM is based on its eight pillars. Successful Implementation of TPM from its kick-off to final stage depends on in-depth knowledge of these pillars. The purpose of the paper is to rank eight pillars of TPM according to their importance with respect to four parameters: Productivity, Cost, Quality and Delivery in Time, by using Analytic Hierarchy Process (AHP) a multiple criteria decision-making methodology. A pairwise comparison of TPM pillars is done by use of AHP method, by considering a case of automotive industries in India. Ranking of TPM pillars is proposed to set guidelines to decide the weightage of each pillar in terms of major factors to improve Overall Equipment Efficiency. This in terms will guide management to give proper preference and allocate fund at proper time to proper pillar. The ranking suggested suites for automotive sector and assembly lines. By varying the judgmental rating the new ranking can be obtained from the suggested guidelines on similar basis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Ahuja, I. P. S., & Khamba, J. S. (2008). TPM: Literature review and direction. Journal of Quality in Maintenance Engineering, 25(7), 709–756.

    Google Scholar 

  2. Madu, C. N. (1994). On the total productivity management of a maintenance float system through AHP applications. International Journal of Production Economics, 34(2), 201–207.

    Article  Google Scholar 

  3. Attri, R., Grover, S., Dev, N., & Kumar, D. (2013). Analysis of barriers of total productive maintenance (TPM). International Journal of System Assurance Engineering and Management, 4(4), 365–377.

    Article  Google Scholar 

  4. Ahuja, I. P. S., & Khamba, J. S. (2008). Strategies and success factors for overcoming challenges in TPM implementation in Indian manufacturing industry. Journal of Quality in Maintenance Engineering, 14(2), 123–147.

    Article  Google Scholar 

  5. Attri, R., Grover, S., & Dev, N. (2014). A graph theoretic approach to evaluate the intensity of barriers in the implementation of total productive maintenance. International Journal of Production Research, 52(10), 3032–3051.

    Article  Google Scholar 

  6. Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.

    MATH  Google Scholar 

  7. Bon, A. T., & Lim, M. (2015). Total productive maintenance in automotive industry: Issues and effectiveness. In Proc. 2015 Int. Conf. Ind. Eng. Oper. Manag. Dubai, United Arab Emirates.

  8. Narender, & Gupta, A. K. (2012). A review of total productive maintenance system. International Journal of Mechanical and Production Engineering, 1(1), 10–18.

    Google Scholar 

  9. Ahuja, I. P. S., & Khamba, J. S. (2007). An evaluation of TPM implementation initiatives in an Indian manufacturing enterprise. Journal of Quality in Maintenance Engineering, 13(4), 338–352.

    Article  Google Scholar 

  10. Gupta, P., Vardhan, S., & Al Haque, S. (2015). Study of success factors of TPM implementation in Indian industry towards operational excellence: An overview. In Industrial Engineering and Operations Management (IEOM), 2015 International Conference.

  11. Aruldoss, M. (2013). A survey on multi criteria decision making methods and its applications. American Journal of Information Systems, 1(1), 31–43.

    Google Scholar 

  12. Kodali, R., & Chandra, S. (2001). Analytical hierarchy process for justification of total productive maintenance. Production Planning & Control, 12(7), 695–705.

    Article  Google Scholar 

  13. Wang, G. (2010). Research on total quality management based on AHP. In 2010 Second Pacific-Asia Conference on Circuits, Communications and System (PACCS), pp. 245–248.

  14. Buyurgan, N., & Saygin, C. (2008). Application of the analytical hierarchy process for real-time scheduling and part routing in advanced manufacturing systems. Journal of Manufacturing Systems, 27(3), 101–110.

    Article  Google Scholar 

  15. Ishizaka, A., & Labib, A. (2011). Selection of new production facilities with the group analytic hierarchy process ordering method. Expert Systems with Applications, 38(6), 7317–7325.

    Article  Google Scholar 

  16. Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1–29.

    Article  MathSciNet  MATH  Google Scholar 

  17. Bhushan, N., & Rai, K. (2004). Strategic decision making and the analytic hierarchy process. (1st ed., IX, p. 172). Springer.

  18. Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26.

    Article  MATH  Google Scholar 

  19. Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Expert Systems with Applications, 38(11), 14336–14345.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dnyandeo Dattatraya Shinde.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shinde, D.D., Prasad, R. Application of AHP for Ranking of Total Productive Maintenance Pillars. Wireless Pers Commun 100, 449–462 (2018). https://doi.org/10.1007/s11277-017-5084-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-5084-4

Keywords

Navigation