| Summary: | 碩士 === 國立高雄第一科技大學 === 系統資訊與控制研究所 === 99 === The service key for the machining tool industry is how to quickly response and solve tool problems from customers. The master degree of tool status decides the maintenance service level. Due to variety and uncertainty of tool failure modes, estimating the required parts before maintenance is hard, such that maintenance preparation is insufficient causing maintenance time and cost increasing. In addition, management of spare parts is difficult and inventory cost is high due to amount difference and lead-time uncertainty of spare parts.
To effectively estimate different failure modes, this study proposes a maintenance service system based on the establish, estimate, identify, perform (EEIP) procedure. In maintenance issue tracking, the repairing tools are traced by state transitions. In maintenance preparation knowledge, potential failure modes and the corresponding malfunction parts can be estimated by tool types and failure modes based on the correlative and failure mode analysis. Finally, in spare parts management, the inventory level of spare parts can be decided by the mean times to failure of different parts.
In results, after collected decades maintenance data of a machining tool company, the proposed system based on the original service process with EEIP provides online Web service for issue tracking, builds maintenance knowledge base from maintenance history, suggests tool issues and a potential failure part list, analyzes failure modes and priority to determine the risks from different failure modes, and provides the corresponding actions. In addition, the maintenance knowledge could provide the issues for new product improvement and design.
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