Automobile two-dimensional quality guarantee strategy optimization method based on Monte Carlo simulation and grid search method

An automobile two-dimensional quality guarantee strategy optimization method based on Monte Carlo simulation and a grid search method comprises the steps of (1) searching automobile field data, determining an automobile reference usage rate, and establishing an automobile expected fault model in a t...

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Bibliographic Details
Main Authors RUAN YUANPENG, LUO XINGGANG, WU GUOCHANG
Format Patent
LanguageChinese
English
Published 02.04.2021
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Summary:An automobile two-dimensional quality guarantee strategy optimization method based on Monte Carlo simulation and a grid search method comprises the steps of (1) searching automobile field data, determining an automobile reference usage rate, and establishing an automobile expected fault model in a two-dimensional quality guarantee period; (2) carrying out market research on a target user group, constructing a utilization rate distribution function of the user group, and constructing a prediction model of the product demand on a time limit W and an accumulated utilization rate limit U in two-dimensional quality guarantee according to the market research; (3) establishing a manufacturer profit-based two-dimensional quality guarantee design strategy optimization model according to the automobile expected fault model, the utilization rate distribution function and the prediction model in the two-dimensional quality guarantee period; and (4) determining an optimal two-dimensional quality guarantee strategy design
Bibliography:Application Number: CN202011621387