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The Development Trends of Computer Numerical Control (CNC) Machine Tool Technology

Author

Listed:
  • Kai-Chao Yao

    (Department of Industrial Education and Technology, National Changhua University of Education, Changhua City 500, Taiwan)

  • Dyi-Cheng Chen

    (Department of Industrial Education and Technology, National Changhua University of Education, Changhua City 500, Taiwan)

  • Chih-Hsuan Pan

    (Department of Industrial Education and Technology, National Changhua University of Education, Changhua City 500, Taiwan)

  • Cheng-Lung Lin

    (Department of Industrial Education and Technology, National Changhua University of Education, Changhua City 500, Taiwan)

Abstract

In the industrial era, production equipment serves as an essential mother machine. In the global manufacturing industry, components such as laptop computers, mobile phones, and automotive parts all strive for aesthetic appearance. Taiwan’s machine tool industry plays a significant role globally. Faced with the constantly changing market environment, the development and competitive advantage of CNC machines are crucial topics for manufacturers. Domestic manufacturers of computer numerical control machines should move towards the integration of automated equipment to accommodate various advanced parts processing procedures. Smart manufacturing will become the trend of the industry in the future. This study invited experts from academia, industry, and research institutions to conduct expert interviews. Their opinions were compiled and analyzed, supplemented by fuzzy Delphi analysis to establish the development trends of various modules. The feasibility and demand of the product’s functional technology for industrial development were analyzed under three research dimensions and eight technical items. A total of 26 key sub-technical items were identified, achieving an expert consensus level of over 80. Furthermore, the importance ranking was analyzed using the fuzzy analytic hierarchy process, and the consistency tests were passed with C.I. < 0.1 and C.R. < 0.1. Finally, the obtained importance ranking of the hierarchical structure was used to predict the future development of computer numerical control machines through a technology roadmap, helping manufacturers use it as a reference model for future development trends to enhance market competitiveness.

Suggested Citation

  • Kai-Chao Yao & Dyi-Cheng Chen & Chih-Hsuan Pan & Cheng-Lung Lin, 2024. "The Development Trends of Computer Numerical Control (CNC) Machine Tool Technology," Mathematics, MDPI, vol. 12(13), pages 1-33, June.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:13:p:1923-:d:1419556
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    References listed on IDEAS

    as
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    3. Hung-Lung Lin & Yu-Yu Ma & Chin-Tsai Lin, 2023. "An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy Process," Mathematics, MDPI, vol. 11(18), pages 1-28, September.
    4. Buckley, James J. & Feuring, Thomas & Hayashi, Yoichi, 2001. "Fuzzy hierarchical analysis revisited," European Journal of Operational Research, Elsevier, vol. 129(1), pages 48-64, February.
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