Maintenance Operation Plan Generation Method Based on E-CARGO Model

In the field of equipment support, maintenance operations is one of the most important activities. A unified descriptive model of maintenance resources based on ontology is proposed to solve the problem that the current maintenance operation plan generation is heavily dependent on labor. The first step is to analyze the important elements and the reasons that affect the automatic and rapid generation of the maintenance operation plan. Then role-based collaboration and its environments—classes, agents, roles, groups, and objects (E-CARGO) model is used to abstract multi-objective constrained resource scheduling scenarios, which is combined with genetic algorithm to solve the optimal scheduling plan, finally the maintenance operation plan simulation optimization design system is realized. In practice, the system has been proved to be capable of generating maintenance operation plans, as well as providing a powerful tool for simulating and deducting maintenance expenses.