Mission-Oriented Maintenance Optimization Subject to Resources Constraints

In many practical industrial and military applications, systems are always requested to execute a sequence of missions. Some maintenance activities will be conducted during the mission break between two sequential missions. However, a general case is that only part of maintenance activities can be p...

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Bibliographic Details
Published in2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) pp. 237 - 243
Main Authors Wenbin Cao, Qiwei Hu, Wenyuan Song, Yutao Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
availability
Computational modeling
Interrupters
Maintenance engineering
maintenance optimization
Mechanical engineering
mission-oriented maintenance
Monte Carlo methods
Optimization
Probability density function
selective maintenance
simulation
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Summary:In many practical industrial and military applications, systems are always requested to execute a sequence of missions. Some maintenance activities will be conducted during the mission break between two sequential missions. However, a general case is that only part of maintenance activities can be performed because of the limited resources. In this paper, a simulation approach based on Monte Carlo method is adopted to select the optimal maintenance activities with the objective of minimizing maintenance cost. Two kinds of missions are considered in this paper. The simulation procedures of assessing system availability under different maintenance schemes and mission types are proposed. Constraints including maintenance time and system availability are considered during maintenance optimization. Finally, an illustrative example is proposed to verify its effectiveness. The results show that the maintenance during mission can improve system availability.
DOI:10.1109/INCoS.2016.79