ACS Applied Computer Science

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vol. 5, no. 1,2009

OPTIMIZATION METHODS IN MODELING AND SIMULATION OF PRODUCTION SYSTEMS

The use of the modelling and simulation method in improving production systems is presented. In the analysed example, two stages were distinguished: creation of the simulation model and optimization. The second stage is illustrated by the practical examples of the use of different optimization methods like the orthogonal plan of Taguchi and fuzzy control. By using simulation connected with optimization, it is possible to check almost all admissible variants of the proposed improvements comparatively quickly in order to evaluate them and to choose the best solution.

APPLICATION OF ARTIFICIAL INTELLIGENCE IN PROJECT MANAGEMENT UNDER RISK CONDITION

Risk management problem was shown in the paper. Relationship between risk management and production process scheduling was analyzed. Different types of data analysis were presented. Toothed gear production process was taken as an example of task timing estimation.

INTELLIGENT MANUFACTURING SYSTEMS – AUTOMATIC SPEECH RECOGNITION SYSTEM

The University of Žilina and the Central European Institute of Competitiveness have been conducting research in development of Intelligent Manufacturing System. One of areas researched was Automatic Speech Recognition (ASR) and control of manufacturing processes through voice control. This paper presents chosen results from research done at the University of Zilina and at the Central European Institute of Technology.

THE ANALYSIS OF RELATIONSHIPS AMONG THE TOTAL PRODUCTIVITY, PROFITABILITY AND ECONOMIC VALUE ADDED

The profitability of enterprise activities is one of the evaluation ways of management effectiveness of enterprise operations. The profitability ratios are quite well described in economics and financial literature. The current authors were less focused on the analysis of the ways of how to determine the main factors which influence the level of profitability. This problem is crucial and extraordinary important by the introduction and utilization of new production strategies. The paper defines the Total Productivity and the Total Productivity Break Even Point concept (TP_BEP). It describes the linear model of the Total Productivity Break Even Point with the developed expressions for calculation of a and b regression coefficients. The mathematical models of Total Productivity and EVA were described. Further focus of the paper was on the definition of relationships between Total Productivity an profitability (ROA). The mathematical model of this relationship was developed. The paper introduces the idea of mutual relationship of Total Productivity (PT) and Economic Value Added (EVA). The Break Even Point concept of Total Productivity was used by the development of relationship model of EVA and Total Productivity. The final solution was simplified for easy practical utilization.

COMPUTER AIDED FMS MACHINE TOOLS SUBSYSTEM SELECTION – CONCEPTION OF METHODOLOGY

The aim of the article is to present a new methodology of computer aided FMS machine tools selection. Flexible manufacturing systems (FMSs) are systems which allows manufacturing parts in small lot sizes keeping high level of productivity and low costs of production. Despite the fact applied research on designing FMS systems have been continued for several years there are no methodical solution that can help design engineers to select machine tools for FMS in a optimal way. This article shows the main algorithm and stages of the methodology which is based on computer database systems, algorithms of elimination and method of multicriteria optimisation.

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