<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Aiming at the problems of uneven distribution of maintenance resources and poor planning in the process of complex equipment maintenance, a complex equipment maintenance resource scheduling optimization method based on the hidden semi-Markov model is proposed. Establish a hidden semi-Markov model based on the monitoring data of each maintenance point to evaluate the health status of the equipment, and calculate the importance and priority of each maintenance point based on the health status. Establish the transportation time matrix between the support points and the maintenance points, and propose the maintenance resource scheduling plan between the maintenance points and the support points. The experimental results show that using the monitoring data of four self-propelled artillery to be repaired, the accuracy of the calculated priority is 1.2% higher than the importance. Therefore, the priority of the maintenance point is selected to optimize the resource scheduling plan under the condition of meeting the task requirements and the given maintenance support resources, and shorten the average waiting time of the self-propelled artillery.</p>
</abstract>

Aiming at the problems of uneven distribution of maintenance resources and poor planning in the process of complex equipment maintenance, a complex equipment maintenance resource scheduling optimization method based on the hidden semi-Markov model is proposed. Establish a hidden semi-Markov model based on the monitoring data of each maintenance point to evaluate the health status of the equipment, and calculate the importance and priority of each maintenance point based on the health status. Establish the transportation time matrix between the support points and the maintenance points, and propose the maintenance resource scheduling plan between the maintenance points and the support points. The experimental results show that using the monitoring data of four self-propelled artillery to be repaired, the accuracy of the calculated priority is 1.2% higher than the importance. Therefore, the priority of the maintenance point is selected to optimize the resource scheduling plan under the condition of meeting the task requirements and the given maintenance support resources, and shorten the average waiting time of the self-propelled artillery.

Optimization Method of Equipment Maintenance Resource Scheduling Based on Hidden Semi-Markov Model

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Aiming at the problems of uneven distribution of maintenance resources and poor planning in the process of complex equipment maintenance, a complex equipment...

j	sort x ₁,x ₂,x ₃	k	ϕ_j	T(ϕ_j )	N(ϕ_j )
artillery B scheduling plan	x ₂ x ₁ x ₃	1	(support point B, 8)	2	1
artillery A scheduling plan	x ₁ x ₃ x ₂	3	(support point A, 5),(support point C, 8)	3	3
artillery C scheduling plan	x ₂ x ₁	2	(support point B, 2)	4	2
artillery D scheduling plan	x ₃ x ₂ x ₁	3	(support point C, 6)	(10)	(4)

repair point/time point	1	7	14	21
artillery A	2.7349	5.2847	0.0617	0.7418
artillery B	2.1748	5.1935	0.0589	0.7049
artillery C	2.5172	5.1493	0.0626	0.5816
artillery D	2.4375	4.7218	0.0836	0.8217

	β ₁	β ₂	β ₃	β ₄	α	λ _j
ω _k	0.455	0.141	0.263	0.141
artillery A	0.5	0.9	1	0.4	1	0.674
artillery B	0.8	0.8	0.5	0.8	1	0.721
artillery C	0.2	0.5	0.7	0.9	1	0.473
artillery D	0.6	0.6	0.3	0	1	0.436

	β ₁	β ₂	β ₃	β ₄	ω _k
β ₁	1	3	2	3	0.455
β ₂	1/3	1	1/2	1	0.141
β ₃	1/2	2	1	2	0.263
β ₄	1/3	1	1/2	1	0.141

	Artillery A	Artillery B	Artillery C	Artillery D
y_j	24	12	30	45
z_j	8	4	18	26
γ_j	0.33	0.33	0.60	0.58
λ_j	0.67	0.72	0.47	0.44
ζ	0.45	0.48	0.19	0.18

Optimization Method of Equipment Maintenance Resource Scheduling Based on Hidden Semi-Markov Model

Pubblicato online: 21 feb 2022

Pagine: 23 - 31

DOI: https://doi.org/10.21307/ijanmc-2021-013

Parole chiave
Hidden Semi-Markov Model, Maintenance Resources, Resource Conflict, Resource Scheduling, Scheduling Optimization Model

© 2021 Pengrui Wang et al; published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

OPERATION PROCESS AND PLAN TABLE OF SCHEDULING PLAN

MONITORING DATA OF MAINTENANCE POINTS

IMPORTANCE OF MAINTENANCE POINTS

JUDGMENT MATRIX OF EACH INDEX

PRIORITY OF MAINTENANCE POINTS

THE TRANSPORTATION TIME MATRIX BETWEEN THE SUPPORT POINTS AND THE MAINTENANCE POINTS

	y_j	z_j	Support point A	Support point B	Support point C
x _i			5	10	8
artillery B	12	4	3	5	8
artillery A	20	9	8	2	3
artillery C	30	18	6	8	10
artillery D	45	26	2	4	8

Optimization Method of Equipment Maintenance Resource Scheduling Based on Hidden Semi-Markov Model

Pubblicato online: 21 feb 2022

Pagine: 23 - 31

DOI: https://doi.org/10.21307/ijanmc-2021-013

Parole chiaveHidden Semi-Markov Model, Maintenance Resources, Resource Conflict, Resource Scheduling, Scheduling Optimization Model

© 2021 Pengrui Wang et al; published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

OPERATION PROCESS AND PLAN TABLE OF SCHEDULING PLAN

MONITORING DATA OF MAINTENANCE POINTS

IMPORTANCE OF MAINTENANCE POINTS

JUDGMENT MATRIX OF EACH INDEX

PRIORITY OF MAINTENANCE POINTS

THE TRANSPORTATION TIME MATRIX BETWEEN THE SUPPORT POINTS AND THE MAINTENANCE POINTS

Parole chiave
Hidden Semi-Markov Model, Maintenance Resources, Resource Conflict, Resource Scheduling, Scheduling Optimization Model