The Research Of Process Quality Control Based On FMS

Sometimes, the qualification rate of some FMS in our country is poor during the machine process, which affects the in-time accomplishment of some equipment types and the system's economical operation. The reason is mainly because of the low process quality, thus causes the falling short some index required by the user like machining precision. Therefore, the process quality of FMS directly impacts the practicability of FMS. There are few research on the control of process quality in FMS. The main research efforts are summarized as follows: (1)Presents two states of the process quality, analytical methods, criteria (comprehensive process capability index) and corresponding calculating methods. (2)Construct the modal of economical control on process quality. (3)It is presented that the new method of analyzing the main influence factors of the process quality from the final measuring data of machining products. The approaches of multivariate statistics (three new methods: minimal variance based major factors finding method, inner class regression method and clustering regression method) to analyze the factors affecting the machining quality are presented. Based on the association of the system structure graph analysis and AHP, the practical method to analyze the main influence factors' significance is presented. This thesis used these methods to calculate and analyze the machining data of Haier FMS, and compared the results of different methods, and the main measures to improve process quality of Haier FMS.