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systems decisions and models
1A1 Simulator Arrangement
simulation and symbolic models of dynamic systems
12 other sections not shown
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advance alternative analyst analyzing arrival autocorrelation backlog 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-advance example factor flow chart FORTRAN GPSS idle initial 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 SAVEVALLF scheduling rules search procedure sequence SIMSCRIPT simulation languages simulation model simulation run situation specific statistical status steady-state conditions STEP stochastic subprogram subroutines subsystems symbolic models techniques time-advance tion transient turn-around UJ UJ unit validity values variance