Title: The optimisation of technological processes on basis of technological efficiency analysis

Authors: Danuta Szewieczek, Leszek A. Dobrzanski, B. Krupinska, Mariusz Krupinski

Addresses: Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Silesian University of Technology, Konarskiego St. 18a, Gliwice 44-100, Poland. ' Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Silesian University of Technology, Konarskiego St. 18a, Gliwice 44-100, Poland. ' Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Silesian University of Technology, Konarskiego St. 18a, Gliwice 44-100, Poland. ' Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Silesian University of Technology, Konarskiego St. 18a, Gliwice 44-100, Poland

Abstract: Technological process is a basic determinant of correctness of industrial company|s functioning on the market. Analysis conducted in this thesis includes hypothetical and technological processes of producing typical machine pieces. Within their scope also the non-material parameters of technological process have been taken into account, which resulted from arts of applied samples and projecting of the technological process. One has worked out an application that allows analysing the efficiency of technological process in aspect of non-material 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 optimisation basis of particular operation. As a result of this analysis gained data enabled to optimise the technological process by estimating influence of the analysed parameters on the whole of process and optimisation conducting of any process. [Received 19 November 2005; Accepted 25 January 2007]

Keywords: industrial management; industrial organisation; production planning; production control; PPC; technological efficiency; technological process; optimisation; neural networks.

DOI: 10.1504/IJCMSSE.2007.014876

International Journal of Computational Materials Science and Surface Engineering, 2007 Vol.1 No.2, pp.289 - 302

Published online: 13 Aug 2007 *

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