Abstract
Nowadays, although more and more companies focus on improving the quality of computer numerical control machine tools, its reliability control still remains as an unsolved problem. Since assembly reliability control is very important in product reliability assurance in China, a new key assembly processes extraction method based on the integration of quality function deployment; failure mode, effects, and criticality analysis; and fuzzy theory for computer numerical control machine tools is proposed. Firstly, assembly faults and assembly reliability control flow of computer numerical control machine tools are studied. Secondly, quality function deployment; failure mode, effects, and criticality analysis; and fuzzy theory are integrated to build a scientific extraction model, by which the key assembly processes meeting both customer functional demands and failure data distribution can be extracted, also an example is given to illustrate the correctness and effectiveness of the method. Finally, the assembly reliability monitoring system is established based on key assembly processes to realize and simplify this method.
Highlights
In today’s life, product quality and reliability, which are defined and evaluated by the customers, have become the most important factors affecting companies’ survival.[1]
For some complex products, reliability can be seen as a separate customer requirement with same important as quality
More and more scholars and companies focus on improving the quality of China’s computer numerical control (CNC) machine tools, its reliability control still remains as an unsolved problem
Summary
In today’s life, product quality and reliability, which are defined and evaluated by the customers, have become the most important factors affecting companies’ survival.[1]. Few of previous researches focused on key assembly processes control technology, which is an effective way in assembly reliability control of CNC machine tools.
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