Research On Optimal Decision Of Maintenance Resource Based On Prognostics

With the equipment maintenance innovation from Run to Breakdown Maintenance (RBM) and Preventive Maintenance (PM) to Condition-Based Maintenance (CBM), maintenance resource logistics are improved by information, network and intelligence. The Autonomic Logistics System (ALS) implements maintenance and logistics actions by combining Prognostics and Health Management(PHM) with Joint Distributed Information System(JDIS). The accuracy of the fault prognostics has great influence on the optimal decision of maintenance resource. Thus, research on the optimal decision of maintenance resource based on prognostics is important for current equipment maintenance logistics. According to the characters of the ALS, this reaecrch mainly involves with three key issues: system structure analysis, spare parts inventory strategy and supply chain optimization. The contens of this paper is as follows:1. Firstly, the operational mechanism of the ALS is analyzed and the optimal decision system of maintenance resource based on prognostics is constructed. It is the foundation of the optimal decision-making method and system.2. Secondly, the schedule mechanism of the ALS is analyzed and an optimal multi-echelon inventory decision method on based on PHM is proposed. This decision method is composed of an opportunity cost model, a spare parts inventory mode and a margin cost model of lost utilization. The spare part inventory is optimized based on the models. And then a simulation is performed in which the failure probability distribution function subjected to normal distribution. The numerical examples illustrate the validity and feasibility of the method.3. Thirdly, a model of joint distributed supply chain is proposed to eliminate the insufficiency of traditional supply chain. An optimal decision of supply cost based on PHM is put forward. The case application shows that the model of joint distributed supply chain and the porposed method can improve the current maintenance logistics.4. Finally, a demonstration system is developed using the following softwares: VisualBasic.Net, SuperMap Objects.NET 6R and Microsoft Access 2007. A missile vehicle maintenance logistics is discussed to demonstrate the applicability of the proposed methodology. The result shows that maintenance resources decision can be optimized effectively through this optimal decision system.