TY - JOUR
T1 - Reliability Allocation Method for Remanufactured Machine Tools Based on Fuzzy Evaluation Importance and Failure Influence
AU - Du, Yanbin
AU - Wu, Guoao
AU - Tang, Ying
AU - Cao, Huajun
AU - Liu, Shihao
N1 - Funding Information:
We gratefully acknowledge the financial support of the National Natural Science Foundation of China (NSFC) (Grant No. 51775071), the youth project of science and technology research program of Chongqing Education Commission of China. (Grant No. KJQN201800801), and the open project of key research platform of Chongqing Technology and Business University (Grant No. KFJJ2019073).
Publisher Copyright:
© 2020, Korean Society for Precision Engineering.
PY - 2020
Y1 - 2020
N2 - Reliability is the key performance indicator for remanufactured machine tools to be approved by customers. Reliability allocation is an important task that needs to be done in the design phase of remanufactured machine tools to ensure that remanufactured products meet the reliability target requirements. A reliability allocation method for remanufactured machine tools is proposed based on fuzzy evaluation importance and failure influence of each component. The importance of each component is evaluated by five indicators such as complexity of structure, maturity of technology, criticality of fault, difficulty of maintenance, and severity of service condition, in which their weights are determined by the method of analytic hierarchy process (AHP). Failure influence is determined by the proportion of downtime caused by each component in total downtime of machine tools. Finally, the proposed method is illustrated in a numerical case study of NC lathe remanufacturing.
AB - Reliability is the key performance indicator for remanufactured machine tools to be approved by customers. Reliability allocation is an important task that needs to be done in the design phase of remanufactured machine tools to ensure that remanufactured products meet the reliability target requirements. A reliability allocation method for remanufactured machine tools is proposed based on fuzzy evaluation importance and failure influence of each component. The importance of each component is evaluated by five indicators such as complexity of structure, maturity of technology, criticality of fault, difficulty of maintenance, and severity of service condition, in which their weights are determined by the method of analytic hierarchy process (AHP). Failure influence is determined by the proportion of downtime caused by each component in total downtime of machine tools. Finally, the proposed method is illustrated in a numerical case study of NC lathe remanufacturing.
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U2 - 10.1007/s40684-020-00264-w
DO - 10.1007/s40684-020-00264-w
M3 - Article
AN - SCOPUS:85091076390
JO - International Journal of Precision Engineering and Manufacturing - Green Technology
JF - International Journal of Precision Engineering and Manufacturing - Green Technology
SN - 2288-6206
ER -