Influence of maintenance policies on multi-stage manufacturing systems in dynamic conditions

International Journal of Production Research

Volumn 50, Issue 2, 2012, Pages 345-357

  Renna, Paolo ^a  

^a UNIVERSITY OF BASILICATA   (Italy)

Author keywords

discrete event simulation; manufacturing systems; multi agent systems; preventive maintenance

Indexed keywords

COST INDEXES; DEGRADATION PROCESS; DISCRETE SIMULATIONS; DYNAMIC CONDITION; DYNAMIC POLICY; FAILURE STATE; HIGH COSTS; MACHINE FAILURE; MAINTENANCE OPERATIONS; MAINTENANCE POLICY; MEAN TIME BETWEEN FAILURES; MULTI AGENT SYSTEM (MAS); MULTI-STAGE MANUFACTURING SYSTEMS; PERFORMANCE MEASURE; PRODUCT DEMAND; STANDARD DEVIATION; WORKING TIME;

COSTS; DISCRETE EVENT SIMULATION; FAILURE (MECHANICAL); MANUFACTURE; MULTI AGENT SYSTEMS; PREVENTIVE MAINTENANCE; PROFITABILITY;

INDUSTRIAL RESEARCH;

EID: 84860000646     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2010.537703     Document Type: Article

References (21)

1. Caputo, AC, and, Salini, P. 2009. Influence of preventive maintenance policy on manufacturing systems performances. In: Proceedings of the world congress on engineering. 1-3 July 2009, London.
2. Dellagi, S, Rezg, N, and, Xie, X. 2007. Preventive maintenance of manufacturing systems under environmental constraints. International Journal of Production Research, 45 (5): 1233-1254.
3. Gharbi, A, and, Kenné, J-P. 2005. Maintenance scheduling and production control of multiple-machine manufacturing systems. Computers & Industrial Engineering, 48 (4): 693-707.
4. Guo, Y. 2007. Machine scheduling performance with maintenance and failure. Mathematical and Computer Modelling, 45 (9/10): 1067-1080.
5. Gupta, D, Gnalay, Y, and, Srinivasan, MM. 2001. The relationship between preventive maintenance and manufacturing systems performance. European Journal of Operational Research, 132 (1): 146-162.
6. Iravani, SMR, and, Duenyas, I. 2002. Integrated maintenance and production control of a deteriorating production system. IIE Transactions, 34 (5): 423-435.
7. Jin, Y-L, Jiang, Z-H, and, Hou, W-R. 2009. Integrating flexible-interval preventive maintenance planning with production scheduling. International Journal of Computer Integrated Manufacturing, 22 (12): 1089-1101.
8. Kenne, JP, and, Nkeungoue, LJ. 2008. Simultaneous control of production, preventive and corrective maintenance rates of a failure-prone manufacturing system. Applied Numerical Mathematics, 58 (2): 180-194.
9. Law, AM, and, Kelton, WD. 2000. Simulation modeling and analysis, 3rd, New York: McGraw-Hill.
10. Lee, W-C, and, Wu, C-C. 2008. Multi-machine scheduling with deteriorating job and scheduled maintenance. Applied Mathematical Modelling, 32 (3): 362-373.
11. Levrat, E, Thomas, E, and, Iung, B. 2008. Odds-based decision-making tool for opportunistic production-maintenance synchronization. International Journal of Production Research, 46 (19): 5263-5287.
12. Lu, K-Y, and, Sy, C-C. 2009. A real-time decision-making of maintenance using fuzzy agent. Expert Systems with Applications, 36 (2): 2691-2698.
13. Mosheiov, G, and, Sarig, A. 2009. Scheduling a maintenance activity to minimize total weighted completion-time. Computers and Mathematics with Applications, 57 (4): 619-623.
14. Naderi, B, Zandieh, M, and, Fatemi Ghomi, SMT. 2009. Scheduling sequence-dependent setup time job shops with preventive maintenance. International Journal of Advanced Manufacturing Technology, 43 (1/2): 170-181.
15. Safaei, N, Banjevic, D, and, Jardine, AKS. 2010. Impact of the use-based maintenance policy on the performance of cellular manufacturing systems. International Journal of Production Research, 48 (8): 2233-2260.
16. Savsar, M. 2005. Performance analysis of an FMS operating under different failure rates and maintenance policies. The International Journal of Flexible Manufacturing Systems, 16 (3): 229-249.
17. Viond, V, and, Sridharan, R. 2006. Dynamic job-shop scheduling with sequence-dependent setup times: Simulation modeling and analysis. International Journal of Advanced Manufacturing Technology, 36 (3/4): 355-372.
18. Wang, H. 2002. A survey of maintenance policies of deteriorating systems. European Journal of Operational Research, 139 (3): 469-489.
19. Xu, D, Sun, K, and, Li, H. 2008. Parallel machine scheduling with almost periodic maintenance and non-preemptive jobs to minimize makespan. Computers & Operations Research, 35 (4): 1344-1349.
20. Yang, Z, Djurdjanovic, D, and, Ni, J. 2008. Maintenance scheduling in manufacturing systems based on predicted machine degradation. Journal of Intelligent Manufacturing, 19 (1): 87-98.
21. Zhou, Y, Beizhi, L, and, Yang, J. 2006. Study on job shop scheduling with sequence-dependent setup times using biological immune algorithm. International Journal of Advanced Manufacturing Technology, 30 (1/2): 105-111.