Fault analysis of CNC equipment based on DEMATEL/ISM/ANP
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DOI 10.1007/s12206-020-0709-z
Journal of Mechanical Science and Technology 34 (8) 2020 Original Article DOI 10.1007/s12206-020-0709-z Keywords: · CNC equipment · Decision-making and trial evaluation laboratory (DEMATEL) · Fault analysis · Interpretative structure modeling (ISM) · Analytic network process (ANP)
Correspondence to: Sun Shu-guang [email protected]
Citation: Shuguang, S., Wenjie, Z., Meng, Z., Xiyu, L., Xiaowan, M. (2020). Fault analysis of CNC equipment based on DEMATEL/ISM/ANP. Journal of Mechanical Science and Technology 34 (8) (2020) ?~?. http://doi.org/10.1007/s12206-020-0709-z
Received July 23rd, 2019 Revised
April 5th, 2020
Accepted May 25th, 2020 † Recommended by Editor Chongdu Cho
Fault analysis of CNC equipment based on DEMATEL/ISM/ANP Sun Shuguang1,2, Zhou Wenjie2, Zhang Meng2, Liu Xiyu2 and Mou Xiaowan2 1
Post-doctoral Scientific Research Station of Management Science and Engineering, Shandong Normal 2 University, Jinnan, China, Business School, Shandong Normal University, Jinnan, China
Abstract
To make a reasonable reliability improvement strategy for CNC equipment, it is necessary to clearly understand the fault relation characteristics and the weak links of reliability. While the fault complexity of CNC equipment makes the fault relation characteristics unclear, it is very difficult to determine the weak link of reliability. Therefore, a fault analysis method for CNC equipment based on decision-making and trial evaluation laboratory (DEMATEL)/ interpretive structure modeling (ISM)/analytic network process (ANP) is proposed in this study to describe the relationship between CNC equipment faults accurately and identify reliability weaknesses. First, the fault mechanism was analyzed by the fault phenomenon, and the fault factors of the CNC equipment were identified in view of the system. Second, DEMATEL/ISM/ ANP method was adopted to integrate the interaction direction and intensity between the failure factors, hierarchical structure of the factors, and their relative importance, and a hierarchical network structure model for CNC equipment fault factors was built. Finally, according to the analysis results of the aforementioned model, the fault factors of the CNC equipment were divided into drive, link, dependence, and independent fault factors, and the identification of the weak link of reliability was completed. Results show that the proposed method can quantify the fault factors of the CNC equipment and clearly identify the main direction of its reliability improvement.
1. Introduction
© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2020
With the progress of science and technology and increase of users’ personal demand for the performance of CNC equipment products, the function of CNC equipment has become increasingly important, and hidden trouble and unreliable factors have become cumulative. Therefore,the research on reliability-based technology of CNC equipment has attracted increasing attention at home and abroad
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