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An Application of Analytic Hierarchy Process (AHP) and Sensitivity Analysis for Maintenance Policy Selection Cover

An Application of Analytic Hierarchy Process (AHP) and Sensitivity Analysis for Maintenance Policy Selection

Organizacija
Volume 47 (2014): Issue 3 (August 2014)
By: Damjan Maletič,  Matjaž Maletič,  Viktor Lovrenčić,  Basim Al-Najjar and  Boštjan Gomišček  
Open Access
|Aug 2014

References

  1. Al-Najjar, B. (1996). Total quality maintenance. An approach for continuous reduction in costs of quality products. Journal of Quality in Maintenance Engineering, 2(3), 4-20, http://dx.doi. org/10.1108/1355251961013041310.1108/13552519610130413
    Search in Google Scholar
  2. Al-Najjar, B. (1997). Condition-based maintenance: Selection and improvement of a cost-effective vibration-based policy in rolling element bearings. Doctoral thesis, ISSN 0280-722X, ISRN LUTMDN/TMIO-1006-SE, ISBN 91-628-2545-X, Lund University, Inst. of Industrial Engineering, Sweden.
    Search in Google Scholar
  3. Al-Najjar, B. (2007). The lack of maintenance and not maintenance which costs: A model to describe and quantify the impact of vibration-based maintenance on company's business. International Journal of Production Economics, 107(1), 260–273, http://dx.doi.org/10.1016/j.ijpe.2006.09.00510.1016/j.ijpe.2006.09.005
    Search in Google Scholar
  4. Al-Najjar, B. (2012). On establishing cost-effective condition-based maintenance: Exemplified for vibration-based maintenance in case companies. Journal of Quality in Maintenance Engineering, 18(4), 401 – 416, http://dx.doi. org/10.1108/1355251121128156110.1108/13552511211281561
    Search in Google Scholar
  5. Al-Najjar, B., & Alsyouf, I. (2000). Improving effectiveness of manufacturing systems using total quality maintenance. Integrated Manufacturing Systems, 11(4), 267-76, http://dx.doi.org/10.1108/0957606001032639310.1108/09576060010326393
    Search in Google Scholar
  6. Al-Najjar, B., & Alsyouf, I. (2003). Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. Journal of Production Economics, 83(3), 81–96, http://dx.doi.org/10.1016/S0925-5273(02)00380-810.1016/S0925-5273(02)00380-8
    Search in Google Scholar
  7. Al-Najjar, B., & Alsyouf, I. (2004). Enhancing a company's profitability and competitiveness using integrated vibration-based maintenance: a case study. European Journal of Operational Research, 157(3), 643–657, http://dx.doi. org/10.1016/S0377-2217(03)00258-310.1016/S0377-2217(03)00258-3
    Search in Google Scholar
  8. Alsyouf, I. (2004). Cost effective maintenance for competitive advantages. Ph.D. dissertation (Terotechnology), School of Industrial Engineering, Vaxjo University Press, Acta Wexionensia, Vaxjo.
    Search in Google Scholar
  9. Arts, R.H.P.M., Knapp, G.M.J., & Lawrence, M. (1998). Some aspects of measuring maintenance performance in the process industry. Journal of Quality in Maintenance Engineering, 4(1), 6-11, http://dx.doi.org/10.1108/1355251981020152010.1108/13552519810201520
    Search in Google Scholar
  10. Aslani, A., & Aslani, F. (2012). Application of Fuzzy AHP Approach to Selection of Organizational Structure with Consideration to Contextual Dimensions. Organizacija, 45(5), 246 - 254, http://dx.doi.org/10.2478/v10051-012-0025-110.2478/v10051-012-0025-1
    Search in Google Scholar
  11. Azadivar, F., & Shu, V. (1999). Maintenance policy selection for JIT production systems. International Journal of Production Research, 37(16), 3725-3738, http://dx.doi. org/10.1080/00207549919001310.1080/002075499190013
    Search in Google Scholar
  12. Backlund, F., & Akersten, P.A. (2003). RCM introduction: process and requirements management aspects. Journal of Quality in Maintenance Engineering, 9(3), 250 – 264, http://dx.doi. org/10.1108/1355251031049370110.1108/13552510310493701
    Search in Google Scholar
  13. Bayazit, O. (2005). Use of AHP in decision-making for flexible manufacturing systems. Journal of Manufacturing Technology Management, 16(7), 808-819, http://dx.doi. org/10.1108/1741038051062620410.1108/17410380510626204
    Search in Google Scholar
  14. Bevilacqua, M., & Braglia, M. (2000) The analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering and System Safety, 70(1), 71-83, http://dx.doi. org/10.1016/S0951-8320(00)00047-810.1016/S0951-8320(00)00047-8
    Search in Google Scholar
  15. Bertolini, M., & Bevilacqua, M. (2006). A combined goal program-ming-AHP approach to maintenance selection problem. Reliability Engineering and System Safety, 91(7), 839–848, http://dx.doi.org/10.1016/j.ress.2005.08.00610.1016/j.ress.2005.08.006
    Search in Google Scholar
  16. Dekker, R. (1996). Applications of maintenance optimization models: a review and analysis. Reliability Engineering and System Safety, 51(3), 229-240, http://dx.doi.org/10.1016/0951-8320(95)00076-310.1016/0951-8320(95)00076-3
    Search in Google Scholar
  17. Dunn, R. (1987). Advanced maintenance technologies. Plant Engineering, 40(12), 80-2.
    Search in Google Scholar
  18. Gits, C.W. (1992). Design of maintenance concepts. International Journal of Production Economics, 24(3), 217-26, http://dx.doi.org/10.1016/0925-5273(92)90133-R10.1016/0925-5273(92)90133-R
    Search in Google Scholar
  19. Gits, C.W. (1994). Structuring maintenance control systems. International Journal of Operations & Production Management, 14(7), 5-17, http://dx.doi.org/10.1108/0144357941006212110.1108/01443579410062121
    Search in Google Scholar
  20. Jaca, C., Viles, E., Paipa-Galeano, L., & Santos, J. (2014). Learning 5S principles from Japanese best practitioners: case studies of five manufacturing companies. International Journal of Production Research, http://dx.doi.org/10.1080/0 0207543.2013.878481
    Search in Google Scholar
  21. Jaca, C., Viles, E., Mateo, R., & Santos, J. (2012). Components of sustainable improvement systems: theory and practice. The TQM Journal, 24(2), 142-154, http://dx.doi. org/10.1108/1754273121121508010.1108/17542731211215080
    Search in Google Scholar
  22. Jardine, A.K.S., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7), 1483–510, http://dx.doi.org/10.1016/j. ymssp.2005.09.012
    Search in Google Scholar
  23. Karapetrovic, S,. & Rosenbloom, E.S. (1999). A quality control approach to consistency paradoxes in AHP. European Journal of Operational Research, 119(3), 704-718, http://dx.doi. org/10.1016/S0377-2217(98)00334-810.1016/S0377-2217(98)00334-8
    Search in Google Scholar
  24. Lane, E.F., & Verdini, W.A. (1989). A consistency test for AHP decision makers. Decision Sciences, 20(3), 575-590, http://dx.doi.org/10.1111/j.1540-5915.1989.tb01568.x10.1111/j.1540-5915.1989.tb01568.x
    Search in Google Scholar
  25. Ljungberg, O. (1998). Measurement of overall equipment effectiveness as a basis for TPM activities. International Journal of Operations and Production Management, 18(5), 495-507, http://dx.doi.org/10.1108/0144357981020633410.1108/01443579810206334
    Search in Google Scholar
  26. Luxhoj, J., Riis, J., & Thorsteinsson, U. (1997). Trends and perspectives in industrial maintenance management. Journal of Manufacturing Systems, 16(6), 437-53, http://dx.doi. org/10.1016/S0278-6125(97)81701-310.1016/S0278-6125(97)81701-3
    Search in Google Scholar
  27. Löfsten, H. (1999). Management of industrial maintenance-economic evaluation of maintenance policies. International Journal of Operations &Production Management, 19(7), 716-737, http://dx.doi.org/10.1108/0144357991027168310.1108/01443579910271683
    Search in Google Scholar
  28. Maletič, D., Maletič, M., Al-Najjar, B., & Gomišček, B. (2014). The role of maintenance in improving company's competitiveness and profitability: A case study in a textile company. Journal of Manufacturing Technology Management, 25(4), 441–456, http://dx.doi.org/10.1108/JMTM-04-2013-003310.1108/JMTM-04-2013-0033
    Search in Google Scholar
  29. Mann, L., Saxena, A., & Knapp, G. (1995). Statistical-based or condition-based preventive maintenance? Journal of Quality in Maintenance Engineering, 1(1), 46-59, http://dx.doi. org/10.1108/13552519510083156
    Search in Google Scholar
  30. Moubray, J. (1997). Reliability-centered maintenance, 2nd ed. New York: Industrial Press Inc.
    Search in Google Scholar
  31. Muchiri, P., Pintelon, L., Gelders, L., & Martin, H. (2011). Development of maintenance function performance measurement framework and indicators. International Journal of Production Economics, 131(1), 295 - 302, http://dx.doi. org/10.1016/j.ijpe.2010.04.03910.1016/j.ijpe.2010.04.039
    Search in Google Scholar
  32. Murphy, C.K. (1993). Limits on the analytic hierarchy process from its consistency index. European Journal of Operational Research, 65(1), 138-139, http://dx.doi.org/10.1016/0377-2217(93)90148-G10.1016/0377-2217(93)90148-G
    Search in Google Scholar
  33. Nakajima, S. (1989). TPM Development Program: Implementing Total Productive Maintenance, Cambridge, MA: Productivity Press Inc.
    Search in Google Scholar
  34. Nakajima, S. (1988). TPM: Introduction to Total Productive Maintenance, Cambridge, MA: Productivity Press Inc.
    Search in Google Scholar
  35. Nowlan, F.S., & Heap, H.F. (1978). Reliability Centered Maintenance. San Fransisco: United Airlines Publications.10.21236/ADA066579
    Search in Google Scholar
  36. Okumura, S., & Okino, N. (2003). A maintenance policy selection method for a critical single-unit item in each workstation composing a FMS with CBM optimization. International Journal of COMADEM, 6(2), 3-9.
    Search in Google Scholar
  37. Parida, A., & Chattopadhyay, G. (2007). Development of a multi-criteria hierarchical framework for maintenance performance measurement (MPM). Journal of Quality in Maintenance Engineering, 13(3), 241-258, http://dx.doi. org/10.1108/1355251071078027610.1108/13552510710780276
    Search in Google Scholar
  38. Pintelon, L., & Parodi, A. (2008). Maintenance: an evolutionary perspective. In: Kobbacy, K.A.H., & Murthy, D.N.P (Eds), Complex System Maintenance Handbook, London: Springer, pp. 21-48.10.1007/978-1-84800-011-7_2
    Search in Google Scholar
  39. Reineke, D., Murdock, W., Pohl, E., & Rehmert, I. (1999). Improving Availability and Cost Performance for Complex Systems with Preventive Maintenance. Proceedings of the10.1109/RAMS.1999.744148
    Search in Google Scholar
  40. Saaty, T.L. (1980). The Analytic Hierarchy Process, New York, NY: McGraw-Hill.10.21236/ADA214804
    Search in Google Scholar
  41. Saaty, T.L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98, http://dx.doi.org/10.1504/IJSSCI.2008.01759010.1504/IJSSCI.2008.017590
    Search in Google Scholar
  42. Sharabi, M. (2014). Today's quality is tomorrow's reputation (and the following day's business success). Total Quality Management, 25(3-4), 183 – 197, http://dx.doi.org/10.1080/1 4783363.2013.858877
    Search in Google Scholar
  43. Talib, F., Rahman, Z., & Qureshi, M.N. (2011). Prioritising the practices of total quality management: An analytic hierarchy process analysis for the service industries. Total Quality Management & Business Excellence, 22(12), 1331-1351, http://dx.doi.org/10.1080/14783363.2011.62519210.1080/14783363.2011.625192
    Search in Google Scholar
  44. Tsang, A.H.C., & Chan, P.K., (2000). TPM implementation in China: a case study. International Journal of Quality & Reliability Management, 17(2), 144 – 157, http://dx.doi. org/10.1108/0265671001030455510.1108/02656710010304555
    Search in Google Scholar
  45. Wang, L., Chu, J. and Wu, J. (2007). Selection of optimum maintenance strategies based on a fuzzy analytical hierarchy process. International Journal of Production Economics, 107(1), 151-63, http://dx.doi.org/10.1016/j.ijpe.2006.08.00510.1016/j.ijpe.2006.08.005
    Search in Google Scholar
  46. Waeyenbergh, G., & Pintelon, L. (2002). A framework for maintenance concept development. International Journal of Production Economics, 77(3), 299–313, http://dx.doi. org/10.1016/S0925-5273(01)00156-610.1016/S0925-5273(01)00156-6
    Search in Google Scholar
  47. Zaim, S., Turkyilmaz, A., Acar, M.F., Al-Turki, U., & Demirel, O.F. (2012). Maintenance strategy selection using AHP and ANP algorithms: a case study. Journal of Quality in Maintenance Engineering, 18(1), 16 – 29, http://dx.doi. org/10.1108/1355251121122616610.1108/13552511211226166
    Search in Google Scholar
DOI: https://doi.org/10.2478/orga-2014-0016 | Journal eISSN: 1581-1832 | Journal ISSN: 1318-5454
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Language: English
Page range: 177 - 188
Submitted on: Sep 6, 2013
|
Accepted on: Jul 10, 2014
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Published on: Aug 22, 2014
Published by: University of Maribor
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Analytical hierarchy process,
decision-making,
maintenance policy
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance

© 2014 Damjan Maletič, Matjaž Maletič, Viktor Lovrenčić, Basim Al-Najjar, Boštjan Gomišček, published by University of Maribor
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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