Design and use of computer simulation models
Systems, decisions, and models. Simulation and symbolic models of dynamic systems. Simulation methodology. Model building and use. Developing the simulation model and program. Simulation languages. Model design; Analyzing a simulation run. Experimental optimization. A simulation model a computer center's operations. Simulation models of human behavior. The future of simulation.
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systems decisions and models
1A1 Simulator Arrangement
simulation and symbolic models of dynamic systems
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advance alternative analyst analyzing arrival ASSIGN autocorrelation behavior Chapter complete Computer Center Computer Simulation continuous controllable variables cost debugging decision maker describe determine developed Digital distribution dynamic effects efficiency equations estimate event list event-advance example factor Figure flow chart FORTRAN GPSS input JOBd labelers linear programming loop machine mathematical method Monte Carlo methods objective function observations obtain occur operations research optimum output parameters partitions performance period phase predict probability probability distribution problem formulation production line queue queuing theory random numbers random variables repair replications represent rotating adjuster salesmen SAVEVALLF scheduling rules search procedure sequence SIMSCRIPT simulation languages simulation model simulation run situation specific statistical status steepest ascent STEP subprogram subroutines subsystems techniques time-advance tion transient turn-around UJ UJ unit validity values variance