Joint optimization of spare parts inventory and maintenance policies using genetic algorithms

International Journal of Advanced Manufacturing Technology

Volumn 34, Issue 5-6, 2007, Pages 594-604

  Ilgin, M Ali ^a   Tunali, Semra ^a  

^a DOKUZ EYLUL UNIVERSITY   (Turkey)

Author keywords

Genetic algorithms; Inventory; Maintenance; Simulation; Spare parts

Indexed keywords

COST REDUCTION; GENETIC ALGORITHMS; MAINTENANCE; OPTIMIZATION; PROBABILITY; PUBLIC POLICY; THROUGHPUT;

CROSSOVER; MUTATION; SPARE PARTS;

INVENTORY CONTROL;

EID: 34548240633     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-006-0618-z     Document Type: Article

References (40)

1. Tu Y, Yeung EHH (1997) Integrated maintenance management system in a textile company. Int J Adv Manuf Technol 13:453-462
2. Tu Y, Yam R, Tse P, Sun AOW (2001) An integrated maintenance management system for an advanced manufacturing company. Int J Adv Manuf Technol. 17:692-703
3. Yam R, Tse P, Li L, Tu Y (2001) Intelligent predictive decision, support system for condition-based maintenance. Int J Adv Manuf Technol 17:383-391
4. Braglia M, Grassi A, Montanari R (2004) Multi-attribute classification method for spare parts inventory management. J Quai Maint Eng 10:55-65
5. Sherbrooke CC (1968) METRIC: a multi-echelon, technique for recoverable item, control. Oper Res 16:122-141
6. Kennedy WJ, Patterson WJ, Fredendall LD (2002) An overview of recent literature on. spare parts inventories. Int J Prod Econ 76:201-215
7. Kabir ZABM, Al-Olayan SA (1996) A stocking policy for spare part provisioning under age based preventive replacement. Eur J Oper Res 90:171-181
8. Sarker R, Haque A (2000) Optimization of maintenance and spare provisioning policy using simulation. Appl Math Model 24:751-760
9. Azadivar F, Tompkins G (1999) Simulation optimization with qualitative variables and structural model changes: a genetic algorithm approach. Eur J Oper Res 113:169-182
10. Gharbi A, Kene JP (2000) Production and preventive maintenance rates control for a manufacturing system: an experimental design approach. Int J Prod Econ 65:275-287
11. Chien WT, Lin C, Sphicas G (1997) A systematic approach, to determine the optimal maintenance policy for an automated manufacturing system. Qual Reliab Eng Int 13:225-233
12. Rossetti MD, Clark G (1998) Evaluating a queuing approximation for the machine interference problem with two types of stoppages via simulation optimization. Comput Ind Eng 34 (3):655-668
13. Haddock J, Mittenthal J (1992) Simulation optimization using simulated annealing. Comput Ind Eng 22(4):387-395
14. Ganesh K, Punniyamoorthy M (2004) Optimization of continuous-time production planning using hybrid genetic algorithms-simulated annealing. Int J Adv Manuf Technol 26: 148-154
15. Yang T, Kuo Y, Chang I (2004) Tabu-search simulation optimization approach for flow-shop scheduling with multiple processors - a case study. Int J Prod Res 42(19):4015-4030
16. Fujimoto H, Tanigawa Y, Yasuda K, Iwahashi K (1995) Applications of genetic algorithm, and simulation to dispatching rule-based FMS scheduling. Proceedings of the IEEE International Conference on Robotics and Automation, Nagoya, pp 190-195
17. Azzaro-Pantel C, Bernal-Haro L, Baudet P, Domenech S, Pibouleau L (1998) A two-stage methodology for short-term batch plant scheduling: discrete-event simulation and genetic algorithm. Comput Chem Eng 22(10):1461-1481
18. Lee H, Kim SS (2001) Integration of process planning and scheduling using simulation based genetic algorithms. Int J Adv Manuf Technol 18:586-590
19. Azadivar F, Wang J (2000) Facility layout optimization using simulation, and genetic algorithms. Int J Prod Res 38(17): 4369-4383
20. Lee SG, Khoo LP, Yin XF (2000) Optimising an assembly line through simulation augmented by genetic algorithms. Int J Adv Manuf Technol 16:220-228
21. Ding H, Benyoucef L, Xie X (2003) A simulation, optimization, approach using genetic search for supplier selection. Proceedings of the 2003 Winter Simulation. Conference, USA, pp 1260-1267
22. Köchel P, Nielander U (2002) Kanban optimization by simulation, and evolution. Prod Plan. Control 13(8):725-734
23. Azadivar F, Shu V (1998) Use of simulation in optimization of maintenance policies. Proceedings of the 1998 Winter Simulation Conference, USA, pp 1061-1067
24. Robert TP, Shahabudeen P (2004) Genetic algorithms for costeffective maintenance of a reactor-generator system. Int J Adv Manuf Technol 23:846-856
25. Marsequerra M, Zio E, Podofillini L (2002) Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation. Reliab Eng Syst Safe 77:151-166
26. Marsequerra M, Podofillini L, Zio E (2001) Use of genetic algorithms for the optimization of spare parts inventory. Proceedings of the European Safety and Reliability Conference, Torino, pp 1523-1530
27. Marsequerra M, Zio E, Podofillini L (2005) Multiobjective spare part allocation, by means of genetic algorithms and Monte Carlo simulation Reliab Eng Syst Safe 87(3):325-335
28. Shum YS, Gong DC (2005) The application of genetic algorithm in the development of a preventive maintenance analytical model. Int J Adv Manuf Technol DOI 10.1007/ s001.70-005-031.4-4
29. Goldberg DE (1989) Genetic algorithms in search, optimization and machine learning. Addison Wesley, New York
30. Coley DA (2003) An introduction, to genetic algorithms for scientists and engineers. World Scientific, Singapore
31. Reeves C (1995) Modern heuristic techniques for combinatorial problems. McGraw-Hill, London
32. Holland JH (1975) Adaptation in natural and artificial systems. The University of Michigan. Press, Ann. Arbor
33. Law AM, Kelton WD (1991) Simulation modeling and analysis. McGraw-Hill, New York
34. April J, Glover F, Kelly JP, Laguna M (2003) Practical introduction to simulation optimization. Proceedings of the 2003 Winter Simulation Conference, USA, pp 71-78
35. Azadivar F (1999) Simulation optimization methodologies. Proceedings of the 1999 Winter Simulation Conference, USA, pp 93-100
36. Paul JR, Chanev ST (1998) Simulation optimization using a genetic algorithm. Simul Pract Theory 6:601-611
37. Gen M, Cheng R (1997) Genetic algorithms and engineering design. Wiley, New York
38. Westerkamp TA (1998) Evaluating the maintenance process. IIE Solut 30(12):22-27
39. Cheu RL, Wang Y, Fwa TF (2004) Genetic algorithmsimulation methodology for pavement maintenance scheduling. Comput-Aided Civ Inf 19:446-455
40. Marzouk M, Moselhi O (2002) Simulation optimization for earthmoving operations using genetic algorithms. Constr Manage Econ 20:535-543