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Research on Optimal Decision of Maintenance Resource Based on Prognostics

Author: ChenShaoJiang
Tutor: QiuJing
School: National University of Defense Science and Technology
Course: Mechanical Engineering
Keywords: Autonomous maintenance support Failure prediction information Maintenance resources Optimization decisions Supply Chain
CLC: TH17
Type: Master's thesis
Year: 2010
Downloads: 211
Quote: 0
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Abstract


With the maintenance mode in the maintenance to condition-based maintenance, the state maintenance shift, equipment maintenance resources and support towards the development of information technology, networking, intelligent direction. Play a very important role in the independent maintenance support system health management system through the failure prediction and joint distributed information systems together to complete maintenance support equipment, accurate failure prediction information resource decisions on equipment maintenance. Therefore, to carry out the maintenance of information resources based on failure prediction, optimization the decision technology research, has important implications for modern equipment maintenance support system. Based on the characteristics of self-maintenance support system, the focus from system architecture analysis, maintenance, spare parts inventory strategy, supply chain optimization three key issues to proceed, using a combination of theoretical analysis and case application approach, carried out maintenance based on failure prediction information resources main contents include: 1. systematically analyzed the working principle of the self-maintenance support system, application system design methods to optimize the overall design of the decision-making system maintenance based on failure prediction information resources, to optimize the decision-making techniques to optimize decision-making technology and systems research papers research and system development is the foundation. 2. Analysis of the self-maintenance support system scheduling mechanism proposed multi-echelon inventory optimization failure prediction information of maintenance spare parts-based decision-making technology. Buffer stock model functional unit cost of risk model, maintenance, spare parts based on the establishment of multi-echelon inventory marginal cost model of maintenance spare parts, maintenance spare parts inventory optimization and simulation analysis of an example to the normal distribution fault parts. The Case Results show the feasibility and effectiveness of the technology. 3. Analysis of the deficiencies of traditional equipment supply chain, the establishment of a joint distributed supply chain model, based on the cost of supply failure prediction information to optimize decision-making technology, case results show that the the joint distributed supply chain model and decision-making technology to meet the protection needs. 4 VisualBasic.Net the SuperMap Objects.NET 6R, and Microsoft Access 2007-based failure prediction information maintenance resources to optimize decision-making system and application objects to the maintenance and support of a missile launch vehicles. The application results show: effective, reasonable maintenance of information resources based on the failure prediction to optimize decision-making system for equipment maintenance resource decisions.

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CLC: > Industrial Technology > Machinery and Instrument Industry > Mechanical operation and maintenance
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