Dynamic Game Framework And Models For The Quality Parameter Programming Of A Large Complex Product

The development level of large complex product is an important symbol of a country‘s comprehensive strength. As a result, greater importance is attached to the development of large complex product. A safe and reliable quality is the most basic and core requirement of a large complex product such as civil aircraft and carrier rocket. Quality is closely related to the core(function) parameters of the product, so the research of the quality parameter programming of large complex product oriented to quality has important practical significance.Firstly, the essence of quality parameter programming of large complex product is revealed, which is the process of collaborative selection of multi-involved subjects and confirmation of product‘s core quality parameters. Considering the fact that the product is overall designed and the components are independently manufactured, a PBS-STA-HoQ tree game framework for the quality parameter programming of large complex product is put forward, which is based on product structure, is supported by the logic of event success and is qualified to the whole requirement. The framework can provide a decision-making platform for designers. Then based on the PBS-STA-HoQ tree game framework, two dynamic game models for the quality parameter programming of large complex product are constructed.Based on the PBS-STA-HoQ tree framework, a dynamic game model for the continuous quality parameter programming of large complex product is constructed. In view of product fluctuation and people‘s expectancy requirements, a game strategy choice of multi-layer expected value optimization model for the quality parameter programming of large complex product is constructed. Based on people‘s given expected quality level of confidence of products or components, three reliability functions are designed on the basis of PBS-STA logic gate and a game strategy choice of multi- layer chance constrained optimization model for the quality parameter programming of large complex product is built. The solving process and intelligent algorithm of these two models are designed separately, which proves the conclusion that the models must have optimal solutions. The fact that the optimal solution is the ?sub-game perfect Nash equilibrium ‘ of the dynamic game model for the continuous quality parameter programming of large complex product is revealed, which validates the reliability and stability of the design results. The dynamic game model provides a new thinking and a new method for the decision makers responsible for quality parameter programming of large complex product, to effectively determine the continuous design variable value in an uncertain environment.Based on the PBS-STA-HoQ tree framework, a dynamic game model for the discrete quality parameter programming of large complex product is constructed. Both the core idea of parameter selection of large complex product and grey target decision is to look for a relatively optimal plan in the region under the meaning of optimization. A grey target model of game strategy selection for the quality parameter programming of large complex product is built, which takes satisfactory solution in the target into consideration. This model can be used to determine the ?target‘ region of parameter selection and the the optimal parameter level combination.The two dynamic game models for the quality parameter programming of large complex product are used in the design of the maximum take-off weight and wing loading for aircraft. The results show that the optimization design of reliability parameters is markedly superior to the design based on the quality fluctuation of expectation.