Research on spares optimization method of the complex electronic information system based on Monte Carlo simulation
In order to solve the problems such as high maintenance cost and difficult spare parts optimization of the complex electronic information system, considering advantages of the generalized stochastic Petri Net (GSPN) in characterization and analysis of dynamic change process of complex system, the process and method of spare parts optimization based on Monte Carlo simulation are studied to achieve the best balance between the rate of mission success and the cost of maintenance.
Authors
- Yong Pan (ORCID: https://orcid.org/0000-0002-6544-1443)
- Yang Hong-qi (ORCID: https://orcid.org/0000-0002-5250-3326)
- Ting Lei (ORCID: https://orcid.org/0000-0002-3436-4668)
- Yanchun Lu
Institutions
- Ministry of Industry and Information Technology (CN)
Publication Details
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1117/12.3044953
- Primary Topic
- Engineering and Test Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00