Simulation: A Problem-solving ApproachThis is a comprehensive, well-organized, methodical, and self- contained treatment of simulation. The authors feature a problem-solving approach with a step-by-step description of simulation analysis. The text's emphasis is on both the art and the science of simulation modeling, with the primary focus on simulation as a decision-making tool. |
Contents
Simulation Analysis and Decision Making | 3 |
Elements of Simulation Analysis | 14 |
Developing Simulation Models | 37 |
Copyright | |
18 other sections not shown
Common terms and phrases
algorithm analytic model average baggers cashiers Chapter checkout lanes conceptual model confidence interval conveyor cost customer waiting customers arrive decision variables defined Delphi Method described developed discrete discrete-event element entity equations estimate event example experiment experimental frame exponentially distributed factor FIGURE flow chart FORTRAN function gamma distribution GPSS ILLUSTRATIVE PROBLEM implementation initial INTEGER logical model machine Markov Chain mean measures of performance method minutes model logic normally distributed number of customers OPERAND OPERAND GROUP operator optimal output parameter percent performance measures Poisson distributed PORT_STATUS ports probability density function probability distribution queueing model queueing system random numbers random variable real system resource response surface sample SAVEVALUE Section SEIZE selected servers SIMAN SIMSCRIPT simulation analysis simulation languages simulation model SNA types statement station statistics supermarket system designs Table TALLY techniques TELLER TERMINATE tion transaction validation variance verifying