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Fault analysis of CNC equipment based on DEMATEL/ISM/ANP

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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.

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Acknowledgments

This work was supported by the Natural Science Foundation of Shandong Province of China under Grant number ZR2017PG002; Research Project of Humanities and Social Sciences in Colleges and Universities of Shandong Province of China under Grant number J17RA118; and Research Project of Teaching Reform of Shandong Normal University of China under Grant number 2016JG58; and Shandong Government Sponsored Study Abroad Program Scholarship under Grant number 201801030.

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Authors and Affiliations

  1. Post-doctoral Scientific Research Station of Management Science and Engineering, Shandong Normal University, Jinnan, China

    Sun Shuguang

  2. Business School, Shandong Normal University, Jinnan, China

    Sun Shuguang, Zhou Wenjie, Zhang Meng, Liu Xiyu & Mou Xiaowan

Authors
  1. Sun Shuguang
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  2. Zhou Wenjie
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  3. Zhang Meng
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  4. Liu Xiyu
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  5. Mou Xiaowan
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Correspondence to Sun Shuguang.

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Recommended by Editor Chongdu Cho

Sun Shu-guang is a Post Doctor in Post-doctoral Scientific Research Station of Management Science and Engineering of Shandong Normal University. Her Ph.D. in Industrial Engineering is from Jilin University. She is currently a lecturer at Shandong Normal University. Her main research interests include reliability of CNC machine tools.

Zhou Wen-jie is currently an undergraduate at Shandong Normal University, China. Her main research interests include management science and engineering.

Zhang Meng is a Post Doctor at Postdoctoral Scientific Research Station of Management Science and Engineering of Shandong Normal University. Her Ph.D. in Management Science and Engineering is from Jilin University. She is currently a lecturer at Shandong Normal University. Her main research interests include industrial engineering.

Liu Xi-yu is currently a Professor at Shandong Normal University, China. His main research interests include computer intelligence, nonlinear analysis, and computer-aided innovation design.

Mou Xiao-wan is currently an undergraduate at Shandong Normal University, China. Her main research interests include management science and engineering.

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Shuguang, S., Wenjie, Z., Meng, Z. et al. Fault analysis of CNC equipment based on DEMATEL/ISM/ANP. J Mech Sci Technol 34, 3181–3188 (2020). https://doi.org/10.1007/s12206-020-0709-z

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  • DOI: https://doi.org/10.1007/s12206-020-0709-z

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