Abstract
In order to optimize the spare parts inventory, we present a decision-making model under condition based maintenance policy for a single equipment system subjected to continuous and random deterioration. Firstly, a probability model of the spare parts support is established, according to the requirement of a predetermined probability of stockout. It can determine the optimal spare parts stock level. Secondly, the spare parts ordering decision is made according to the equipment deterioration level, and it can optimize the spare parts ordering. The objectives of this model are to minimize the spare parts inventory, and the expected total operating cost. Thirdly, a numerical example is given to illustrate this model. The results prove that the optimal preventive maintenance threshold obtained from the proposed model can satisfy the spare parts support requirements.
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KENNEDYW J, PATTERSON J W, FREDENDALL L D. An Overview of recent literature on spare parts inventories [J]. International Journal of Production Economics, 2002, 76(2): 201–215.
ARONIS K P, MAGOU I, DEKKER R, et al. Inventory control of spare parts using a Bayesian approach: A case study [J]. European Journal of Operational Research, 2004, 154(2): 730–739.
AVINADAV T. Continuous accounting of inventory costs with Brownian-motion and Poisson demand processes [J]. Annals of Operations Research, 2015, 229(1): 85–102.
DIEULLE L, BÉRENGUER C, GRALL A, et al. Sequential condition-based maintenance scheduling for a deteriorating system [J]. European Journal of Operational Research, 2003, 150(3): 451–461.
LIAO H T, ELSAYED E A, CHAN L Y. Maintenance of continuously monitored degrading systems [J]. European Journal of Operational Research, 2006, 175(1): 821–835.
PARK C, PADGETT W J. Accelerated degradation models for failure based on geometric brownian motion and gamma process [J]. Lifetime Data Analysis, 2005, 11(1): 511–527.
ELWANY A H, GEBRAEEL N Z. Sensor-driven prognostic models for equipment replacement and spare parts inventory [J]. IIE Transactions. 2008, 40(7): 629–639.
CHELBI A, AÏT-KADI D. Spare provisioning strategy for preventively replaced systems subjected to random failure [J]. International Journal of Production Economics, 2001, 73(1/2/3): 183–189.
YOO Y K, KIM K J, SEO J. Optimal joint spare stocking and block replacement policy [J]. International Journal of Advance Manufacture Technology, 2001, 18(1): 906–909.
WANG Y B, ZHAO J M, JIA X S, et al. Spare parts allocation optimization in a multi-echelon support system based on multi-objective particle swarm optimization method [J]. Maintenance and Reliability, 2014, 16(1): 29–36.
WANG L. Theory and application of maintenance decision models and methods [D]. Hangzhou: School of Information Science and Engineering, Zhejiang University, 2007 (in Chinese).
LI H P, DELOUSE E, DIEULLE L. A condition-based maintenance policy for multi-component systems with LÉvy copulas dependence [J]. Reliability Engineering and System Safety, 2016, 149(1): 44–55.
ÇEKYAY B, ÖZEKICI S. Optimal maintenance of systems with Markovian mission and deterioration [J]. European Journal of Operational Research, 2012, 219(1): 123–133.
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Wang, Y., Gu, H., Zhao, J. et al. Modeling on spare parts inventory control under condition based maintenance strategy. J. Shanghai Jiaotong Univ. (Sci.) 21, 600–604 (2016). https://doi.org/10.1007/s12204-016-1769-1
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DOI: https://doi.org/10.1007/s12204-016-1769-1