A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Guidelines for simulation project success
WSC '94 Proceedings of the 26th conference on Winter simulation
Unknown unknowns: modeling unanticipated events
WSC '94 Proceedings of the 26th conference on Winter simulation
Using simulation to preview plans of a container port operations
WSC '94 Proceedings of the 26th conference on Winter simulation
WSC '95 Proceedings of the 27th conference on Winter simulation
Simulation of transportation systems
WSC '95 Proceedings of the 27th conference on Winter simulation
Secrets of successful simulation projects
WSC '95 Proceedings of the 27th conference on Winter simulation
ExpertFit: total support for simulation input modeling
WSC '95 Proceedings of the 27th conference on Winter simulation
WSC '95 Proceedings of the 27th conference on Winter simulation
WSC '95 Proceedings of the 27th conference on Winter simulation
Simulation Made Easy: A Manager's Guide
Simulation Made Easy: A Manager's Guide
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Introduction to Simulation Using SIMAN
Introduction to Simulation Using SIMAN
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
SS '96 Proceedings of the 29th Annual Simulation Symposium (SS '96)
Research to application success stories (panel): manufacturing
Proceedings of the 29th conference on Winter simulation
Toward increased use of simulation in transportation
Proceedings of the 30th conference on Winter simulation
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We describe the application of simulation and statistical analyses to the improvement of a shipping and distribution system supporting a component-fabrication plant and two automotive assembly plants interconnected by truck lines and railroads. These analyses enabled managers to determine the number and location of loading docks required, optimize the inventory level and distribution of racks (containers) circulating throughout this shipping system, determine the sizes of turnaround areas for truck and rail cargo at each plant, and predict annual truck and rail shipping volumes and costs.