Applying a Hybrid DEMATEL and ANP Approach for Suitable Maintenance Approach Selection (Case Study: Work Vehicle Industry)

Document Type : Original Article

Authors

1 Ph.D., Shahed University.

2 Assistant Professor, Ghazvin Emam Khomeini University.

Abstract

In today current environment, managers of vehicle companies try to make their organizations competitive and responsive by creating on time delivery capability of quality products and services based on customer’s needs. To do so, maintenance as a system has a crucial role in decreasing costs, minimizing equipment down time, improving quality, increasing productivity and providing equipment reliability and finally, reaching to the organization's qualitative and quantitative goals. So, maintenance approach selection is a kind of multiple criteria decision-making (MCDM) problem toward reaching mentioned goals, which requires considering a large number of complex factors as multiple evaluation criteria. This article uses Delphi technique for determining effective factors on suitable maintenance approach, ANP technique that is a relatively new MCDM method which can deal with all kinds of interactions between criteria systematically for selection of suitable approach and DEMATEL technique for determining the direction of criteria in tow Iran KHODRO Diesel and SAIPA Diesel as the biggest work vehicle producers in Iran and Middle East. The results showed that preventive maintenance (PM) is suitable approach for tow studied cases as work vehicle industry. 

Keywords


1. Aghaei, Asghar and Milad (2010). Modern Maintenance, First Edition, Tehran: NAJA Educational Publications.
2. Aghaei, Asghar (2010). Designing and Explaining the Integrated System Model of Naja Automotive Net, Ph.D. in System Management, Tehran: Imam Hussein University.
3. Rezaeian, Ali (2007). System Analysis and Design, 11th Edition, Tehran: Khome Publications.
Douglas, U. Lambert and James. R, Stock (2003). Strategic Logistics Management, Translated by: Mohammad Azgoli and Seyed Saadat Hosseini, First Edition, Tehran: NAJA Readiness and Support Center.
5. Seyyed Hosseini, Seyyed Mohammad (2005). Systematic Planning of Maintenance System and Introduction to TPM, Fourth Edition, Tehran: Industrial Management Organization Publications.
6. Men, Nisa (2009). Choosing the Right Sheet Strategy Using Fuzzy Method (Case Study: Sepahan Cement Factory), MSc in Industrial Management, Tehran: Allameh Tabataba'i University.
7. Mr, Milad (1390). Multi Criteria Decision Making Approach to Evaluation of Optimal Maintenance Strategy, MSc in Industrial Management, Faculty of Social Sciences, Qazvin: Imam Khomeini International University.
8. Attai, Mohammad (2010). Multi-criteria Decision Making, First Edition, Shahroud: Shahroud University of Technology Publications.
9. Bowersox, D & Closs, D (1996). Logistical Management: the integrated Supply Chain Management, Mc Graw - Hill, 283 - 286.
10. Aubert, B., Beniot. A., Bosch, V & Mignerat, M (2003). Toward the Measurement of Process Integration, CIRANO.
11. Chan, F. K. Y., & Thong, J.Y. L (2009). Acceptance of agile methodologies: a critical review and conceptual frameworks, Journal of Decision Support Systems, 46, 814-803.
12. Karloff, B & Lovingsson, F. H (2005). The A-Z of Management Concepts and Models, Published by Thorogood Publishing, London.
13. Bashiri, M., Badri, H., & Hejazi, T.H (2011). Selecting optimal maintenance strategy by FUZZY interactive linear assignment method, Applied Mathematical Modeling, 35, 152-164.
14. Pinjala, S.A. (2004). Bridging the gap between manufacturing and maintenance, 11, 587-596.
15. Waeyenbergh, G., & Pintelon, L (2002). A framework for maintenanceconcept development, International Journal of Production Economics, 77, 299–313.
16. Mechefske, C. K., & Wang. Z (2003). Using fuzzy linguistics toselect optimum maintenance and condition monitoringstrategies, Mechanical Systems and Signal Processing, 17 (2), 305–316.
17. Swanson, L (2001). Linking maintenance strategies to performance. International Journal of Production Economics, 70, 237–244.
18. Sharma, R. K., Kumar, D., & Kumar, P (2005). FLM to select suitable maintenance strategy in process industries using MISO model, Journal of Quality in Maintenance Industries, 11 (4), 359-374.
19. Mann, L., Saxena, A., & Knapp, G.M (1995). Statistical-based orcondition-based preventive maintenance? , Journal of Qualityin Maintenance Engineering, 1 (1), 46–59.
20. Al-najar, .B, & Alsyuof, I (2003). Selecting the most efficient maintenance approach using FUZZY multiple criteria decision making, International Journal of Production Economics, 84, 85-100.
21. Mobley, R. K (2002). An Introduction to Predictive Maintenance, Second ed., Elsevier Science, New York.
22. Bengtsson, M (2004). Condition based maintenance systemtechnology-where is development heading? Proceedings of the 17th European Maintenance Congress, Barcelona, ​​Spain, May, 11–13.
23. Djurdjanovic, D., Lee, J., & Ni, J (2003). Watchdog agent aninfotronics based prognostics approach for productperformance assessment and prediction, InternationalJournal of Advanced Engineering Informatics, 17,109–125.
24. Nakajima, S (1988). Introduction to Total Productive Maintenance (TPM), Productivity Press, Cambridge, MA.
25. Blanchard, S.B (1997). An enhanced approach to implementation and total productive maintenance in the manufacturing environment, Journal of Quality in Maintenance Engineering, 3 (2), 69-80.
26. Mckone, K., Schroeder, R., & Kristy, C (1999). Total productive maintenance: a contextual view, Journal of Operations Management, 17, 123-44.
27. Chand, G., & Shirvani, B (2000). Implementation of TPM in cellular manufacturing, Journal of Material Processing Technology, 103,149-54.
28. Bevilacqua, M., & Braglia, M (2000). The analytical hierarchy process applied to maintenance strategy selection, Reliability Engineering and System Safety, 70, 71–83.
29. Wang, L., Chua, J., & Wu, J (2007). Selection of optimal maintenance strategies based on a fuzzy analytic hierarchy process, International Journal of Production Economics, 107 (1), 151-163.
30. Shygith, K., Ilangkumaran, M., & Kumanan, S (2008). Multi-criteria decision making approach to evaluate optimal maintenance strategy in textile industry, Journal of Quality in Maintenance Engineering, 14 (4), 375-386.
31. Fontela, E., & Gabus, A. (1976). The DEMATEL observer, DEMATEL 1976 Report, Switzerland, Geneva: Battelle Geneva Research Center.
32. Chiu, Y. J., Chen, H. C., Tzeng, G. H., & Shyu, J. Z (2006). Marketing strategy based on customer behavior for LCD-TV, International Journal of Management and Decision Making, 7 (2), 143–165.
33. Hori, S., & Shimizu, Y (1999). D