Title :
Qualitative Modelling of Manufacturing Machinery
Author :
Garani, Georgia ; Adam, George K.
Author_Institution :
Dept. of Inf. & Telecommun., Technological Educ. Inst.
Abstract :
The research in this paper deals with the simulation of continuous machine systems that can be described in a discrete manner (discrete-event systems), using qualitative simulation techniques. In order to represent discrete-time descriptions of machine systems and processes in an efficient way, this approach uses a combination of both qualitative modelling techniques and numerical methods. An object-oriented qualitative modelling and simulation toolbox, called QMTOOL, was extended and applied into modelling specific machine processes. Experiments carried out using this qualitative modelling and simulation toolbox, provided performance metrics and assisted the design and real-time control of specific industrial machines and processes. The results obtained have shown that qualitative modelling can provide less complex computational models for describing and simulating discrete-event machine systems, and that these models could be applied in cases where traditional mathematical models are difficult to manage
Keywords :
discrete event systems; manufacturing systems; numerical analysis; object-oriented methods; production engineering computing; production equipment; continuous machine systems; discrete-event machine systems; industrial machines; manufacturing machinery qualitative modelling; mathematical models; numerical methods; object-oriented qualitative modelling; qualitative simulation techniques; simulation toolbox; Computational modeling; Discrete event systems; Electrical equipment industry; Industrial control; Machinery; Mathematical model; Measurement; Numerical models; Object oriented modeling; Virtual manufacturing;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347534