Perspectives on the Evolution of Simulation
Operations Research
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
GASP II simulation of parts inventory for electronic fuze production
Proceedings of the third conference on Applications of simulation
Very large fractional factorial and central composite designs
ACM Transactions on Modeling and Computer Simulation (TOMACS)
State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments
INFORMS Journal on Computing
A pseudo-random number generator for the System/360
IBM Systems Journal
Work smarter, not harder: a tutorial on designing and conducting simulation experiments
Proceedings of the Winter Simulation Conference
Improved efficient, nearly orthogonal, nearly balanced mixed designs
Proceedings of the Winter Simulation Conference
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Simulation has overcome critical obstacles to become a valuable method for obtaining insights about the behavior of complex systems. George Box's famous assessment that "all models are wrong, some are useful" referred to statistical models, but should now be reimagined to reflect that many simulation models are "right enough" to aid in decision making for important practical problems. Over the past fifty years, simulation has transformed from its beginnings as a brute-force numerical integration method into an attractive and sophisticated option for decision makers. This is due, in part, to the exponential growth of computing power. Although other analytic approaches also benefit from this trend, keyword searches of several scholarly search engines reveal that the reliance on simulation is increasing more rapidly. A descriptive analysis paints a compelling picture: simulation is frequently a researcher's preferred method for supporting decision makers and may often be the "first resort" for complex real world issues.