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)
Verification and validation of simulation models
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Improving service of access on a logistics platform
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Proceedings of the 2011 ACM Symposium on Applied Computing
Verification and validation of simulation models
Winter Simulation Conference
Analyzing production modifications of a C-130 engine repair facility using simulation
Winter Simulation Conference
P-SAM: a post-simulation analysis module for agent-based models
Proceedings of the 2010 Summer Computer Simulation Conference
Multiobjective simulation optimisation in software project management
Proceedings of the 13th annual conference on Genetic and evolutionary computation
A generic methodology for developing fuzzy decision models
Expert Systems with Applications: An International Journal
Verification and validation of simulation models
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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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.