The Key Technology Of Complex Product Integrated Logistics System Research And Implementation

Integrated Logistics Support (ILS) of complex products plans the logistics support in the stage of product development process with the concept of full life cycle comprehensively, provides matching support resources at a reasonable cost considering the product’s reliability and maintainability at the same time. The aim is improving availability of product, enhancing the convenience of the support and reducing costs. The computation of product reliability, support program decisions and optimal inventory are key technologies and also hot topics in the integrated logistics support. This paper does some research on these key technologies and analise business processes and information architecture for integrated logistics support, designs and implenents the system of integrated logistics support.Firstly, in the design stage of complex product, the paper gives a predictive model about product reliability. The model abstracts composition of complex products into a product tree. Then it can build a reliable block diagram according to the nodes such as subsystems, modules etc in the tree. Later, we give a calculation method about reliability which is aimed at the series model, the parallel model, the hybrid model and the model of taking k from N in the block diagram. Finally, the reliability of the entire product is computed by the combination of product tree and reliable block diagram.Secondly, this paper studies and analysis the multi-attribute decision-making for complex product’s support programs, establishes the layers of criterion and indicators for appraisal based on complex product’s support characteristics, determines the indicators’ weight using AHP method, transforms qualitative indicators to quantify using the method of group decision making,sorts the support programs with the method of TOPSIS and method of Gray correlation degree,and verifies it by a case. Meanwhile, this paper analysis the relation between the results of soppprt program decisions and the predict of product reliability.Thirdly, for the optimal inventory of complex product, this paper proposes the S-METRIC model. The S-METRIC model improves repair mechanism of spare parts between the support bases and redefines formula of EBO based on the traditional METRIC model. It expands the scope of use of the METRIC model. This paper analise the principles and processes of the optimal inventory of spare parts in details. We also determines the optimum stock of the support bases under different charges using the S-METRIC model, provides the relationship curve between the cost and the EBO, the cost and availability to decision makers, and verifies by instances.Finally, we design and implement the integrated logistics support system for complex products. It includes the description about the technology and platform used in the system, required environment of hardware and software for designing, testing and running the system, the summary description of the system function modules, logic design and physical design of the database, the system interface show.