Journal of System Simulation
Model of Initial Spare Parts Configuration and Ordering Policy Optimization Based on Inventory State
Abstract
Abstract: Rational planning of spare parts configuration project is an effective approach to improve the equipment availability and reduce the life cycle cost (LCC). First of all, the spare parts demand rate forecast model is constructed. According to the systemic analysis method, the spare parts support effectiveness evaluation targets system is built, and then, the initial spare parts configuration optimization method is researched. Aim to the consumption for partial repairable spare parts, the expected backorders function of the approximate Laplace demand distribution is given. Combining the (s-1, s) and (R, Q) inventory policy, the ordering model is established under the batch ordering policy based on inventory state. In a given example, the spares optimization under the constraint targets of support effectiveness is calculated, and its result is consistent with the practice regulation. The model's correctness, method's validity and the optimization project's rationality are proved.
Recommended Citation
Shao, Songshi; Ruan, Minzhi; and Zhang, Zhihua
(2020)
"Model of Initial Spare Parts Configuration and Ordering Policy Optimization Based on Inventory State,"
Journal of System Simulation: Vol. 32:
Iss.
3, Article 19.
DOI: 10.16182/j.issn1004731x.joss.18-0266
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss3/19
First Page
509
Revised Date
2018-09-02
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.18-0266
Last Page
517
CLC
V215.7
Recommended Citation
Shao Songshi, Ruan Minzhi, Zhang Zhihua. Model of Initial Spare Parts Configuration and Ordering Policy Optimization Based on Inventory State[J]. Journal of System Simulation, 2020, 32(3): 509-517.
DOI
10.16182/j.issn1004731x.joss.18-0266
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