January 2018
Intermediate to advanced
480 pages
236h 9m
English
The simulation process includes data collection, random-number assignment, model formulation, and analysis. This process is known as Monte Carlo simulation, after the European gambling capital, because of the random numbers used to generate the simulation events.
Simulation requires extensive data gathering on costs, productivities, capacities, and probability distributions. Typically, one of two approaches to data collection is used. Statistical sampling procedures are used when the data are not readily available from published sources or when the cost of searching for and collecting the data ...