[1]QI Xiaogang,FANG Kui,SONG Weixing,et al.Summary of equipment maintenance support resource configuration[J].CAAI Transactions on Intelligent Systems,2022,17(2):221-232.[doi:10.11992/tis.202109010]
Copy
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
17
Number of periods:
2022 2
Page number:
221-232
Column:
综述
Public date:
2022-03-05
- Title:
-
Summary of equipment maintenance support resource configuration
- Author(s):
-
QI Xiaogang1; FANG Kui2; SONG Weixing3; WANG Yazhou1; LIU Lifang4
-
1. School of Mathematics and Statistics, Xidian University, Xi’an 710071, China;
2. Ordnance Sergeant School, Army Engineering University, Wuhan 430075, China;
3. Chinese People’s Liberation Army 32272 Troop, Lanzhou 730060, China;
4. School of Computer Science and Technology, Xidian University, Xi’an 710071, China
-
- Keywords:
-
multicenter system; equipment maintenance; task prediction; resource allocation; task scheduling; repair personnel; spare part; optimization method
- CLC:
-
TP273
- DOI:
-
10.11992/tis.202109010
- Abstract:
-
A research on the equipment maintenance resource configuration optimization method significantly improves maintenance efficiency. However, the maintenance resource of the current equipment maintenance guarantee system can no longer meet the actual needs of a high-efficiency guarantee for the multicenter system. Therefore, this paper analyzes the related research of equipment maintenance and maintenance resource allocation. The multicenter equipment support system mainly includes three task modules, maintenance task prediction, maintenance resource allocation, and multicenter maintenance tasks scheduling. These tasks are the basis for determining the maintenance support resource configuration process. Then, a summary is submitted focusing on the maintenance personnel and parameters of maintenance spare parts resource configuration optimization problem, as well as on the theoretical method and research status. Finally, considering the shortcomings in the multicenter maintenance system resource research, a future development trend is proposed, forming a new thought sequence for the research and providing a reference for the research of subsequent multicenter system resource allocation optimization.