Economic optimisation in automotive body manufacturing quality control based on multivariate Bayesian control chart

The present paper is a case study of quality control cost optimisation in an automobile body production system, where the multivariate Bayesian control chart is applied. Based on the enterprise's historical data, the applicability of the proposed Bayesian control method is analysed. The cost function of engine compartment front axle vertical beam welding is clarified, and the parameters of the cost function are determined. The Monte Carlo simulation method is used to testify the improvement of the multivariate Bayesian control chart. Based on the result, it is believed that decreasing the rate of false alarm is an important factor for the economic improvement of the multivariate Bayesian control chart.

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