Performance comprehensive assessment system for the manufacturing system of automotive assembly line

The automotive assembly manufacturing occupy the central position in the automotive manufacturing process. How to reasonably evaluate the performance of the automotive assembly manufacturing is the primary problem to be solved. To solve the problems of automotive assembly manufacturing performance evaluation, the automotive assembly evaluation indicators will be divided into quality, efficiency, cost and service in this paper. This paper will build the evaluation system of the automotive assembly manufacturing. And the use of Bayesian networks to evaluate the automotive assembly manufacturing can determine the operational status of the entire system. The Bayesian networks with bidirectional inference can infer the possible exceptions indicators when an exception of the system occurs.