考虑随机冲击影响的多部件系统视情维修与备件库存联合优化

doi:10.12305/j.issn.1001-506X.2022.03.20

Abstract

Abstract:

The joint optimization of condition-based maintenance and spare part inventory is an effective method to ensure the safety operation of key components in equipment and reduce maintenance support costs. In order to solve the problem that the existing models ignore the effects of random shock in complex environments, a joint optimization model of condition-based maintenance and spare part inventory for multi-component system considering random shock effects is proposed. Firstly, the degradation model and the reliability model under random shock are established. In the sense of the first hitting time, the probability distribution of the remaining useful life is derived using the idea of threshold conversion, and the degradation model parameters are estimated by the maximum likelihood method. Then, the joint policy of condition-based maintenance and spare part inventory is formulated, and the joint optimization model is established with the target of the lowest average cost ratio. Meanwhile, particle swarm optimization and Monte Carlo simulation are used to solve this model. Finally, the validity and application value of the proposed model are verified through an example analysis and sensitivity analysis.

Key words: condition-based maintenance, spare part inventory, joint optimization, random shock, multi-component system

CLC Number:

Jingfeng LI, Yunxiang CHEN, Huachun XIANG, Jian WANG. Joint optimization of condition-based maintenance and spare part inventory for multi-component system considering random shock effect[J]. Systems Engineering and Electronics, 2022, 44(3): 875-883.

Figures/Tables 10

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Table 1

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References 30

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参数名称	参数值	参数名称	参数值
C_i/元	50	n/个	50
C_f/元	2 000	学习因子c₁	1.494
C_p/元	400	学习因子c₂	1.494
C_d/元	3 000	惯性权重w	0.729
C_o/元	200	N_max/次	100
C_s/元	800	T/d	365
C_h/元	2	N/次	100
t_d/d	30	κ/((°/dGPa)	0.1
D/GPa	2.0	-	-

参数	取值	最优费用率/(元/天)	Δt/d	t_p/d	s/个	S/个
λ	0.50	187.70	6	8	5	21
	1.00	256.05	5	8	6	29
	2.00	399.54	7	8	12	29
μ_W	0.60	183.68	4	8	5	22
	1.21	256.05	5	8	6	29
	2.40	449.01	5	8	11	29
σ_W	0.05	252.66	5	8	6	29
	0.19	256.05	5	8	6	29
	0.80	266.26	5	8	6	29

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Joint optimization of condition-based maintenance and spare part inventory for multi-component system considering random shock effect

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