IJAT Vol.5 No.5 pp. 655-662
doi: 10.20965/ijat.2011.p0655


A Decision Support System for Capturing CNC Operator Knowledge

Wikan Sakarinto, Hiroshi Narazaki, and Keiichi Shirase

Department of Mechanical Engineering, Graduate School of Engineering, Kobe University, 1-1 Rokko-dai, Kobe, Hyogo 657-8501, Japan

February 27, 2011
July 13, 2011
September 5, 2011
decision support system, knowledge-based system

The main job of Computer Numerical Control (CNC) operators is to capture and use knowledge to assess product data. CNC operators assess Computer-Aided Manufacturing (CAM) files before proceeding to CNC machining processes. Decision Support Systems (DSS), for these operators, is provided by Expert Systems (ES) designed to manage and learn intelligently from previous data and information and produce recommended actions and decisions. The purpose of the DSS is (i) to assist inexperienced operators in assessment using stored know-how of experienced operators and to collect additional knowledge in interaction between the DSS and experienced operators during semiautomatic assessment, and (ii) to present collected knowledge to users based on contexts or constraints the user must deal with in product data assessment. After outlining the DSS, the discussion is about its usefulness in dealing information and knowledge discrepancies between CAM and CNC operators – an important problem in practice that has been rather neglected so far – focusing on CNC milling operations.

Cite this article as:
Wikan Sakarinto, Hiroshi Narazaki, and Keiichi Shirase, “A Decision Support System for Capturing CNC Operator Knowledge,” Int. J. Automation Technol., Vol.5, No.5, pp. 655-662, 2011.
Data files:
  1. [1] N. Moran, “Knowledge is the key, whatever your sector,” The Financial Time Limited, UK, 1999.
  2. [2] Y. Koren, “Computer Control of Manufacturing Systems,” McGraw-Hill, New York, 1983.
  3. [3] W. Sakarinto, H. Narazaki, and K. Shirashe, “A Knowledge-based Product Model Data for Integrating CAM-CNC Operation,” Proc. of The 5th Int. Conf. on Leading Edge Manufacturing in 21st Century (LEM21 2009 Osaka-Japan), 2009.
  4. [4] W. Sakarinto, H. Narazaki, and K. Shirashe, “A Method for Capturing The Knowledge of CNC Operator for Integrating CAM-CNC Operation,” Proc. of 2010 Int. Symp. on Flexible Automation (2010 ISFA Tokyo-Japan), 2010.
  5. [5] W. Sakarinto, H. Narazaki, and K. Shirashe, “Decision Support System for CNC Machining Parameter Assessment on CNC Operator Knowledge Capturing System,” Proc. of Int. Conf. on Mechatronics Technology (2010 ICMT Osaka-Japan), 2010.
  6. [6] W. Sakarinto, H. Narazaki, and K. Shirashe, “A Knowledge-based Model for Capturing and Managing the Knowledge of CNC Operators for Integrating CAM-CNC Operation,” Int. J. of Automation Technology, Vol.5, No.3, May 2011.
  7. [7] H. Chtourou, W. Masmoudi, and A. Maalej, “An Expert System for Manufacturing Systems Machine Selection,” Expert System with Application, Vol.28, pp. 461-467, 2005.
  8. [8] L. Luong, J. He, K. Abhary, and L. Qiu, “A Decision Support System for Cellular Manufacturing System Design,” Computer & Industrial Engineering, Vol.42, pp. 457-470, 2002.
  9. [9] D. A. Guerra-Zubiaga and R. I. M. Young, “A Manufacturing Model to Enable Knowledge Maintenance in Decision Support Systems,” J. of Manufacturing Systems, Vol.25, No.2, 2006.
  10. [10] J. V. D. Bussche and A. Heuer, “Using SQL with Object Oriented database,” Information Systems, Vol.18, Issue 7, pp. 461-487, 1993.
  11. [11] J. A. Hoffer, M. B. Prescott, and F. R. McFadden, “Modern Database Management,” Pearson-Prentice Hall, 2005.
  12. [12] T. Rochim, “Klasifikasi, Proses, Gaya & Daya Pemesinan,” Penerbit ITB, 1993.
  13. [13] G. Schreiber, H. Akkermans, A. Anjewierden, R. D. Hoog, N. Shadbolt, W. V. D. Velde, and B. Wielinga, “Knowledge Engineering and Management: The CommonKADS Methodology,” A Bradford Book, The MIT Press, Cambridge, Massachusetts, London, England, 2000.
  14. [14] A. Y. Al-Qomary and M. S. Jamil, “A New Approach of Clusteringbased Machine Learning Algorithm,” Knowledge-bases Systems, Vol.19, pp. 248-258, 2006.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Jan. 15, 2021