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
simulation and symbolic models of dynamic systems
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advance alternative analog computer analyst analyze arrival ASSIGN autocorrelation behavior Chapter complete Computer Center continuous controllable variables cost debugging decision maker describe determine developed digits distribution dynamic effects efficiency equations estimate event list event table event-advance example factor flow chart FORTRAN GPSS idle input interval 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 adjusters salesmen SAVEVALLE scheduling rules search procedure sequence SIMSCRIPT simulation languages simulation model simulation run situation specific statistical status steady-state conditions STEP stochastic subprogram subroutines subsystems techniques time-advance tion transient turn-around UJ UJ unit validity values variance