Some Problems in Queue Simulation

Actual mean Actual variance amount of computing ARMN arrival and service ARTM behavior Burroughs 220 comparing alternatives control constant Control Research Committee CORE CORE IV Cornell Production Control cumulative mean decimal places decimal point degenerate distribution Digital discrete approximation Discussion Paper distribution of interarrival distribution of runs experimental exponential arrivals exponentially distributed fixed point arithmetic hypothesis integers interarrival interval inverse function length of run level of truncation MEAN STATE VERSUS Monte Carlo Methods n₁ normal distribution number of arrivals Number of Observations number of runs Operations Research output printout Production Control Research provided with program Pseudo-Means pseudo-random number queue simulation queuing system Queuing Theory Rand cards random variable run length runs of length SAMPLE VARIANCE Seed sequence of numbers sequence of random serial correlation service time distribution simulation model statistics steady-state subroutine SVIM SVMN tabulated total number truncation number uniform deviates Var(L Variance of Mean VERSUS NUMBER