Validation and verification of simulation models
WSC '04 Proceedings of the 36th conference on Winter simulation
Design and Analysis of Experiments
Design and Analysis of Experiments
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Reengineering, simulation and data analysis of an RFID system
Journal of Theoretical and Applied Electronic Commerce Research
WIT: A wireless integrated traffic model
Mobile Information Systems - Information Assurance and Advanced Human-Computer Interfaces
Agent-based analysis and simulation of the consumer airline market share for Frontier Airlines
Knowledge-Based Systems
Communicating with management about the benefits of business process simulation
Winter Simulation Conference
A tutorial on simulation modeling in six dimensions
Proceedings of the Winter Simulation Conference
Hi-index | 0.00 |
In this tutorial we present techniques for building valid and credible simulation models. Ideas to be discussed include the importance of a definitive problem formulation, discussions with subject-matter experts, interacting with the decision-maker on a regular basis, development of a written assumptions document, structured walk-through of the assumptions document, use of sensitivity analysis to determine important model factors, and comparison of model and system output data for an existing system (if any). Each idea will be illustrated by one or more real-world examples. We will also discuss the difficulty in using formal statistical techniques (e.g., confidence intervals) to validate simulation models.