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Spare Part Optimization of MIME Systems using Simulation and Genetic Algorithms under Availability  

Chung, Il-Han (System Development Team1/R&D Center, Hyundai Rotem Company)
Yun, Won-Young (Department of Industrial Engineering, Pusan National University)
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Abstract
Spare part problem of MIME (Multi Indenture Multi Echelon) system under availability constraint has been studied for several decades. In most of existing studies, it was very difficult to obtain the optimal numbers of spare parts and some approximate methods were proposed under many restrictions. In this paper, we consider a simulation to estimate the total cost rate and system availability and a genetic algorithm to obtain the optimal numbers of spare parts. Some numerical examples are also studied.
Keywords
Spare part; Multi echelon; Multi indenture; Simulation;
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1 Sherbrooke, C.C.(2004), Optimal inventory modeling of systems: Multi-echelon Techniques, 2nd Edition, Wiley, New York
2 KOchel, P., Nielander, U.(2005), 'Simulationbased optimization of multi-echelon inventory systems', International Journal of Production Economics, 93, 505-513   DOI   ScienceOn
3 de Haas, H.F.M. and Verrijdt, J.H.C.M.(1997), 'Target setting for the departments in an aircraft repairable item system', European Journal of Operational Research, 99, 596-602   DOI   ScienceOn
4 Sherbrooke, C.C.(1968), 'METRIC: Multi- echelon technique for recoverable item control', Operations Research, 16, 122-141   DOI   ScienceOn
5 Graves, S.C.(1985), 'A multi-echelon inventory model for a repairable item with one- for-one replenishment', Management Science, 31, 1247-1256   DOI   ScienceOn
6 Slay, F.M.(1984), 'VARY-METRIC: an approach to modeling multi-echelon resupply when the demand process is Poisson with gamma prior', Report AF301-3, Logistic Management Institute, Washington, D.C. conference
7 Tee, Y.S., Rossetti, M.D.(2002), 'A robustness study of a multi-echelon inventory model via simulation', International Journal of Production Economics, 80, 265-277   DOI   ScienceOn