| International Journal of Advanced Network, Monitoring, and Controls | |
| Optimization Method of Equipment Maintenance Resource Scheduling Based on Hidden Semi-Markov Model | |
| article | |
| Pengrui Wang1  Bailin Liu2  Tao Zhao3  Pengxiang Cao4  | |
| [1] School of Computer Science and Engineering Xi’an Technological University Xi’an China;School of Computer Science and Engineering Xi’an Technological University Xi’an;Northwest Institute of Mechanical and Electrical Engineering Xianyang;School of Electronic Information Engineering Xi'an Technological University Xi’an | |
| 关键词: Hidden Semi-Markov Model; Maintenance Resources; Resource Conflict; Resource Scheduling; Scheduling Optimization Model; | |
| DOI : 10.21307/ijanmc-2021-013 | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Asociación Regional De Diálisis Y Trasplantes Renales | |
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【 摘 要 】
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.
【 授权许可】
CC BY-NC-ND
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307160003397ZK.pdf | 459KB |
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