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Study On SPC-based Quality Monitoring System Of Assembly Process

Posted on:2016-06-13Degree:MasterType:Thesis
Country:ChinaCandidate:X J SunFull Text:PDF
GTID:2308330470955852Subject:Industrial engineering
Abstract/Summary:PDF Full Text Request
Along with the development of management concept, the goal of quality management is no longer the traditional after affairs but the process control. The progress of data collection and storage technology together make the controllable quality indexes comprehensive. The process control turns from single to multiple. As an important part of the whole production process, assembly process effectively affects the final quality of the product. Therefore, realizing the assembly quality control by controlling the quality in the process has become the critical method in the research field. However, due to the complexity of assembly, the current quality control seems to be not competent.An SPC-based assembly quality control method is proposed on the basis of analyzing the existing process quality control methods. Due to the complexity and the existing problems of assembly, the modified GO-FLOW method is proposed to meet the characters of assembly. The principle of establishing mathematical models and mathematical descriptions are proposed. GO-FLOW-based assembly critical procedure selection method is put forward to realize the selective control. FA-based multiple quality control method is proposed on the basis of existing general quality control theory to improve the inevitable problems of errors and omissions. By combining the Multi-single Xbar-R chart with the Multi-single EWMA chart and proposing the FA-based MCPk multiple process capability analyze method, has improved the traditional SPC methods and enhanced the accuracy rates.Finally, SPC-based quality monitoring system of assembly process is developed. The assembly of clutch serves as a verification of the validity and the feasibility.
Keywords/Search Tags:Assembly process quality control, SPC, FA, Multi-single Xbar-R chart, Multi-single EWMA chart, MCPk
PDF Full Text Request
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