Evolutionary prediction of manufacturing costs in tool manufacturing

• Autorzy: Ficko M. , Vaupotič B. , Balič J.
• Języki publikacji: EN

Abstrakty

EN

One of the most important factors in the offer for tool manufacture is the total manufacturing cost. Although the total manufacturing costs can be rather precisely determined by the cost analysis, this approach is not well applicable in tool-making due to cost and, particularly, time demand. Therefore, the authors propose a new approach to prediction of total manufacturing costs, which is based on case based-reasoning method and imitates the human expert. The system first abstracts from CAD-models the geometrical features, and then it calculates the similarities between the source cases and target case. The most similar cases are used for preparation of prediction by genetic programming. The genetic programming method provides the model connecting the individual geometrical features with the costs searched for. Regarding to the connections between geometrical features and tool cost of source cases the formula for calculation of tool cost of target case is being made. The experimental results show that the quality of predictions made by the intelligent system is comparable to the quality assured by the experienced expert.

Słowa kluczowe

EN

prediction of tool manufacturing costs; case-based reasoning; genetic programming

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2007
• Tom: Vol. 1, No. 4
• Strony: 51--58
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Ficko M.

autor

Vaupotič B.

autor

Balič J.

• Laboratory for Intelligent Manufacturing Systems, Faculty of Mechanical Engineering, University of Maribor; Smetanova ulica 17, SI-2000 Maribor, Slovenia. Tel.:[phone]. Fax.:[phone].,

Bibliografia

• [1] K. D. Althoff, B. Bartsch-Spöl, “Decision Support for Case-Based Applications”, Wirtschaftsinformatik, no. 38, 1996, pp. 8-16.
• [2] M. Brezocnik, J. Balic, Z. Brezocnik, “Emergence of intelligence in next-generation manufacturing systems”, Robotics and Computer Integrated Manufacturing, vol. 19, no. 1-2, 2003, pp 55-63.
• [3] N. Charness, R.S. Schultetus, Knowledge and Expertise,Handbook of Applied Cognition, John Wiley & Sons: New York, 1999.
• [4] Y. Ding, H. Lan, J. Hong, V. Wu, “An integrated manufacturing system for rapid tooling based on rapid prototyping”, Robotics and Computer-Integrated Manufacturing, vol. 20, 2004, pp. 281-288.
• [5] P. Duverlie, J. M. Castelain, Cost Estimation During Design Step, “Parametric Method versus Case Based Reasoning Method”, International Journal of Advanced Manufacturing Technology, vol. 15, no. 12, 1999, pp. 895-906.
• [6] K. A. Ericsson, N. Charness, “Expert performance:its structure and acquisition”, American Psychologist, 1994, vol. 49, pp. 725–47.
• [7] T. Fulder, A. Polajnar, K. Pandža, “Sposobnost – orodjarna. Ideje – motor gospodarske rasti orodjarn”. In: Proceedings of Orodjarstvo, 2001, Portorož, Slovenija.
• [8] J. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, 1975.
• [9] J. K. Kolodner, R. Simpson, K. Sycara, “A Proces Model of Case-Based Reasoning”. In: Problem Solving, Proceedings IJCAI-85, Morgan-Kaufmann, Los Angeles, 1985, pp. 284–290.
• [10] M. Kovacic, J. Balic, “Evolutionary programming of a CNC cutting machine”, International journal of advanced manufacturing technology, vol. 22, no. 1-2, 2003, pp. 118-124.
• [11] J. R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, 1992.
• [12] I. Pahole, M. Ficko, I. Drstvenšek, J. Balic, “Optimisation of the fl ow of orders in a flexible manufacturing systems”, Strojniški vestnik, vol. 49, no. 10, 2003, pp 499-508.
• [13] I. Rechenberg, Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien der biologischen Evolution, Frommann-Holzboog Verlag, Stuttgart, 1974.
• [14] G. Strube, D. Janetzko, „Episodisches Wissen und fallbasiertes Schließen: Aufgaben für die Wissendiagnostik und die Wissenpsychologie“,Sweicherische Zeitschrift für die Psychologie, vol.49, no. 4, 1990, pp. 211–221.
• [15] L. S. Wierda, Cost information tools for designers: a survey of problems and possibilities with an emphasis on mass produced sheet metal parts, Delft University Press, Delft, 1990.