Computer-assisted the optimisation of technological process

• Autorzy: Krupińska B. , Szewieczek D. , Dobrzański L. A.
• Języki publikacji: EN

Abstrakty

EN

Purpose: One has worked out an application that allows to analyze the efficiency of technological process in aspect of nonmaterial values and has used neural networks to verify particle indicators of quality of a process operation. Indicators appointment makes it possible to evaluate the process efficiency, which can constitute an optimization basis of particular operation. Design/methodology/ approach: The created model made it possible to analyze the chosen technological processes for the sake of efficiency criteria, which describe the relationships: operation - material, operation - machine, operation - man, operation - technological parameters. Findings: In order to automate the process, to determine the efficiency of technological operation (KiX) and possibly to optimize it, one has applied one of artificial intelligence tools - neural networks. Practical implications: Application of neural networks allows to determine the value of technological efficiency of an operation. (KiX) without the necessity of detailed analysis as well of the whole process as of the particular operation. It makes it also possible to optimize operation efficiency by means of checking value of operation efficiency in the case of change in value of particular partial efficiency indicators. Originality/value: Method of computer application makes it possible to point out the studied indicators and asses finally the process efficiency in order to plan optimization of particular operation.

Słowa kluczowe

EN

technological efficiency; technological process; optimization; neural networks

PL

wydajność procesu technologicznego; proces technologiczny; optymalizacja; sieci neuronowe

• Wydawca: International OCSCO World Press
• Czasopismo: Archives of Materials Science and Engineering
• Rocznik: 2009
• Tom: Vol. 36, nr 2
• Strony: 96--102
• Opis fizyczny: Bibliogr. 15 poz.

Twórcy

autor

Krupińska B.

autor

Szewieczek D.

autor

Dobrzański L. A.

• Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland,

Bibliografia

• [1] M. Sokovic, J. Kopac, and A. Smolej, Model of quality managment in development of new free-cutting Al-alloys, Journal of Achievements in Materials and Manufacturing Engineering 19/2 (2006) 92-98.
• [2] M. Sokovic, D. Pavletic, E. Krulcic, Six Sigma process improvements in automotive parts production, Journal of Achievements in Materials and Manufacturing Engineering 19/1 (2006) 96-102.
• [3] K. Metaxiotis, D. Askounis, J. Psarras, An Object-Oriented Analysis and Design of a Model for Production Planning and Control in Industry, The International Journal of Advanced Manufacturing Technology 18 (2001) 657-664.
• [4] J. Madejski, Survey of the agent-based approach to intelligent manufacturing, Journal of Achievements in Materials and Manufacturing Engineering 21/1 (2007) 67-70.
• [5] B.G. Kingsman, Modelling input-output workload control for dynamic capacity planning in production planning systems, International Journal of Production Economics 68 (2000) 73-93.
• [6] G. Rummler, A. Branche, Increasing the efficiency of organization, PWE, Warsaw, 2000 (in Polish).
• [7] V. Cariapa, K. S.Abkay, R. Rudraraju, Application of neural networks for compliant tool polishing operations, Journal of Materials Processing Technology 28 (1991) 241-250.
• [8] M. Krupinski, L.A. Dobrzański, J.H. Sokolowski, W. Kasprzak, G. Byczynski, Methodology for automatic control of automotive Al-Si cast components, Materials Science Forum 539-543(2007) 339-344.
• [9] D.G. Luenberger, Theory of optimization, PWN, Warsaw, 1984 (in Polish).
• [10] E. Westkämper, T. Schmidt, Computer-assisted manufacturing process optimization with neural networks, Journal of Intelligent Manufacturing 9/4 (1998) 289-294.
• [11] B. Krupińska, D. Szewieczek, Computer assistance in the process efficiency analysis, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 543-546.
• [12] B. Krupińska, D. Szewieczek, Analysis of technological process on the basis of efficiency criterion, Journal of Achievements in Materials and Manufacturing Engineering 17 (2006) 421-424.
• [13] L.A. Dobrzański, Basis of science about materials and metallographic, Engineering materials with basis of material projecting, WNT, Warsaw, 2002 (in Polish).
• [14] L.A. Dobrzański, The principles of selection of engineering materials from cards of profiles, WNT, Warsaw, 2001.
• [15] R. Tadeusiewicz, Neural Networks, PLJ, Warsaw, 1999 (in Polish).