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 autocorrelation behavior Chapter complete Computer Center Computer Simulation CONTINUE 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 initial input interval JOB TABLE labelers linear programming loop machine mathematical method objective function observations obtain occur operations research optimum output parameters partitions performance period phase PL/I predict probability probability distribution problem formulation production line queue queuing theory random numbers random variables repair replications represent rotating adjusters salesmen scheduling rules search procedure sequence SIMSCRIPT simulation languages simulation model simulation run situation specific statistical status steady-state conditions steepest ascent STEP stochastic subprogram subroutines subsystems techniques time-advance tion transient turn-around UJ UJ unit validity values variance