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Multi-objective modeling for preventive maintenance scheduling in a multiple production line

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Abstract

The change of market and the explosion of product variety have led to increased automation and the need for complex equipment. Therefore, the reliability and the maintainability of the equipment play an important role in controlling both the quantity and quality of the products. In order to ensure specified availability and reliability of production process, preventive maintenance (PM) should be taken during production process. However, taking unscheduled PM can impose high costs to the firm, and adversely decrease the reliability of production line. In this paper, a multi-objective PM scheduling problem in a multiple production line is considered. Reliability of production lines, costs of maintaining, failure and downtime of system are measured as multiple objectives, and different thresholds for available manpower, spare part inventory and periods under maintenance is applied. Production system in this paper consists of serial and parallel machines. Finally, a test problem has been solved to show the effectiveness of the proposed model.

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References

  • Alardhi, M., Hannam, R. G., & Labib, A. W. (2007). Preventive maintenance scheduling for multi-cogeneration plants with production constraints. Journal of Quality in Maintenance Engineering, 13, 276–292.

    Article  Google Scholar 

  • Ascher, H., & Feingold, H. (1984). Repairable systems reliability: Modeling, inference misconceptions and their causes. New York: Marcel Dekker inc.

    Google Scholar 

  • Bartholomew-Biggs, M., Christianson, B., & Zuo, M. (2006). Optimizing preventive maintenance models. Computational Optimization and Applications, 35, 261–279.

    Article  Google Scholar 

  • Bris, R., Chatelet, E., & Yalaoui, F. (2003). New method to minimize the preventive maintenance cost of series-parallel systems. Reliability Engineering and System Safety, 82, 247–255.

    Article  Google Scholar 

  • Canfield, R. (1986). Cost optimization of periodic preventive maintenance. Reliability, IEEE Transactions on, 35, 78–81.

    Article  Google Scholar 

  • Cavory, G., Dupas, R., & Goncalves, G. (2001). A genetic approach to the scheduling of preventive maintenance tasks on a single product manufacturing production line. International Journal of Production Economics, 74, 135–146.

    Article  Google Scholar 

  • Che-Hua, L. (2007). Preventive maintenance scheduling via particle swarm optimization method. In International multi conference of engineers and computer scientists (pp. 121–126). Hong Kong, China.

  • Dedopoulos, I., & Smeers, Y. (1998). An age reduction approach for finite horizon optimization of preventive maintenance for single units subject to random failures. Computers and Industrial Engineering, 34, 643–654.

    Article  Google Scholar 

  • El-Ferik, S., & Ben-Daya, M. (2006). Age-based hybrid model for imperfect preventive maintenance. IIE Transactions, 38, 365–375.

    Article  Google Scholar 

  • Goel, A. L., Nanda, P. S. & D’sa, N. (1973). A statistical analysis of maintenance system simulation. In Proceedings of the 1973 annual reliability and maintainability, symposium. 125–135.

  • Hagmark, P. E., & Virtanen, S. (2007). Simulation and calculation of reliability performance and maintenance costs. Reliability and maintainability, symposium, 34–40.

  • Harrou, F., Tassadit, A., Bouyeddou, B., & Zeblah, A. (2009). Efficient optimization algorithm for preventive-maintenance in transmission systems. Journal of Modelling and Simulation of Systems, 1, 59–67.

    Google Scholar 

  • Harrou, F., & Zeblah, A. (2009). Harmony search algorithm optimization for preventive maintenance-planing for transmission systems. In International conference on advances in computational tools for engineering applications (pp. 584–590). Zouk Mosbeh, Lebanon.

  • Huang, H. Z., Tian, Z., & Zou, M. J. (2005). Intelligent interactive multiobjective optimization method and its application to reliability optimization. IIE Transactions, 37, 983–993.

    Article  Google Scholar 

  • Jayabalan, V., & Chaudhuri, D. (1992). Cost optimization of maintenance scheduling for a system with assured reliability. Reliability, IEEE Transactions on, 41, 21–25.

    Article  Google Scholar 

  • Jin, Y., JiangG, Z., & Houu, W. (2006). Optimal policy research on reliability-centered preventive maintenance for multi-components equipment. Journal Shanghai Jiaotong University-Chinese Edition, 40, 2051.

    Google Scholar 

  • Kralj, B., & Petrovic, R. (1995). A multi-objective optimization approach to thermal generation units maintenance scheduling. European Journal of Operational Research, 84, 481–493.

    Article  Google Scholar 

  • Lapa, C. M. F., Pereira, C. M. N. A., & De Barros, M. P. (2006). A model for preventive maintenance planning by genetic algorithms based in cost and reliability. Reliability Engineering and System Safety, 91, 233–240.

    Article  Google Scholar 

  • Leou, R. C. (2003). A new method for unit maintenance scheduling based on genetic algorithm. Power Engineering Society General Meeting, 1, 246–251.

    Google Scholar 

  • Levitin, G., & Lisnianski, A. (2000). Short communication optimal replacement scheduling in multi-state series-parallel systems. Quality and Reliability Engineering International, 16, 157–162.

    Article  Google Scholar 

  • Liao, W., Pan, E., & Xi, L. (2010). Preventive maintenance scheduling for repairable system with deterioration. Journal of Intelligent Manufacturing, 21(6), 875–884.

    Article  Google Scholar 

  • Lim, J. H., & Park, D. H. (2007). Optimal periodic preventive maintenance schedules with improvement factors depending on number of preventive maintenances. Asia Pacific Journal of Operational Research, 24, 111.

    Article  Google Scholar 

  • Lin, T. W., & Wang, C. H. (2010). A new approach to minimize non-periodic preventive maintenance cost using importance measures of components. Journal of Scientific and Industrial Research, 69, 667–671.

    Google Scholar 

  • Lin, T. W., & Wang, C. H. (2012). A hybrid genetic algorithm to minimize the periodic preventive maintenance cost in a series parallel system. Journal of Intelligent Manufacturing, 23(4), 1225–1236.

    Google Scholar 

  • Luxhoj, J. T., & Shyur, H. J. (1997). Comparison of proportional hazards models and neural networks for reliability estimation. Journal of Intelligent Manufacturing, 8(3), 227–234.

    Google Scholar 

  • Malik, M. A. K. (1979). Reliable preventive maintenance scheduling. AIIE Transactions, 11, 221–228.

    Article  Google Scholar 

  • McClymonds, S., & Winge, D. (1987). Optimization of nuclear plant preventive maintenance. Transactions of the American Nuclear Society (United States), 54, 10–12.

    Google Scholar 

  • Moghaddam, K. S. (2008). Preventive maintenance and replacement scheduling: models and algorithms. Ph.D Dissertation, University of Louisville.

  • Nakagawa, T. (1988). Sequential imperfect preventive maintenance policies. Reliability, IEEE Transactions on, 37, 295–298.

    Article  Google Scholar 

  • Oh, H., Shibutani, T., & Pecht, M. (2012). Precursor monitoring approach for reliability assessment of cooling fans. Journal of Intelligent Manufacturing, 23(2), 173–178.

    Article  Google Scholar 

  • Pereira, C., Lapa, C., Mol, A., & Da Luz, A. (2009). A PSO approach for preventive maintenance scheduling optimization. International Nuclear Atlantic Conference.

  • Quan, G., Greenwood, G. W., Liu, D., & Hu, S. (2007). Searching for multiobjective preventive maintenance schedules: Combining preferences with evolutionary algorithms. European Journal of Operational Research, 177, 1969–1984.

    Article  Google Scholar 

  • Samrout, M., Yalaoui, F., Chatelet, E., & Chebbo, N. (2005). New methods to minimize the preventive maintenance cost of series-parallel systems using ant colony optimization. Reliability Engineering and System Safety, 89, 346–354.

    Article  Google Scholar 

  • Schutz, J., Rezg, N., & Leger, J. B. (2011). Periodic and sequential preventive maintenance policies over a finite planning horizon with a dynamic failure law. Journal of Intelligent Manufacturing, 22(4), 523–532.

    Article  Google Scholar 

  • Shirmohammadi, A. H., Zhang, Z. G., & Love, E. (2007). A computational model for determining the optimal preventive maintenance policy with random breakdowns and imperfect repairs. Reliability, IEEE Transactions on, 56, 332–339.

    Article  Google Scholar 

  • Suresh, K. & Kumarappan, N. (2006) .Combined genetic algorithm and simulated annealing for preventive unit maintenance scheduling in power system. Power Engineering Society General Meeting, ISBN: 1-4244-0493-2.

  • Taboada, H. A., Espiritu, J. F., & Coit, D. W. (2008). MOMS-GA: A multi-objective multi-state genetic algorithm for system reliability optimization design problems. Reliability, IEEE Transactions on, 57, 182–191.

    Article  Google Scholar 

  • Tam, A., Chan, W., & Price, J. (2006). Optimal maintenance intervals for a multi-component system. Production Planning and Control, 17, 769–779.

    Article  Google Scholar 

  • Tian, Z., & Liao, H. (2011). Condition based maintenance optimization for multi-component systems using proportional hazards model. Reliability Engineering and System Safety, 96, 581–589.

    Google Scholar 

  • Tian, Z., Levitin, G., & Zuo, M. J. (2009). A joint reliability-redundancy optimization approach for multi-state series-parallel systems. Reliability Engineering and System Safety, 94, 1568–1576.

    Article  Google Scholar 

  • Wang, C. H., & Tsai, S. W. (2012). Optimizing bi-objective imperfect preventive maintenance model for series-parallel system using established hybrid genetic algorithm. Journal of Intelligent Manufacturing. doi:10.1007/s10845-012-0708-8.

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Acknowledgments

The authors are grateful for the valuable comments and suggestion from the respected reviewers. Their valuable comments and suggestions have enhanced the strength and significance of our paper. The authors would like to acknowledge the financial support of University of Tehran for this research under Grant Number 27775/01/06.

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Correspondence to V. Ebrahimipour.

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Ebrahimipour, V., Najjarbashi, A. & Sheikhalishahi, M. Multi-objective modeling for preventive maintenance scheduling in a multiple production line. J Intell Manuf 26, 111–122 (2015). https://doi.org/10.1007/s10845-013-0766-6

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  • DOI: https://doi.org/10.1007/s10845-013-0766-6

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