Search

This paper describes application of the Particle Swarm Optimization (PSO) algorithm for the parameters identification of simulation model and for the prediction of the mass flow and supply temperature of the water. Simulation model represents the heat distribution and consumption in municipal heating network and is based on the discrete simulation. Estimated parameters are heat transfer coefficients and daily load profiles. The results of experiment at combined heat and power (CHP) plant are presented. [ABSTRACT FROM AUTHOR]

The new perspective used for the present paper regarding the tool's durability is its consideration as a simulation parameter which relates flow simulation and process simulation based on dynamic modern systems. For this kind of systems the increasing of costs for errors correction will also cause an increasing of the value for detecting and correcting the possible problems. In fabrication architecture optimization, the studies made up to present were focused on flow concentrator identification for a flexible system and eliminating the concentrator by modifying the number of work points in order to equilibrate the flow. The innovation consists in regulation of the flow based on durability data obtained from process simulation. [ABSTRACT FROM AUTHOR]

The paper gives the final results of the research project." "The proposal of an alternative procedure of manufacturing lot size determination inflexible manufacturing .systems by simulation optimization. " The authors present the alternative method for determination of lot size. The method uses the simulation optimization as a base procedure. The authors demonstrate the important stages of the method. The solution is compared with classic mathematic methods. [ABSTRACT FROM AUTHOR]