A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Conducting a successful simulation project
WSC '92 Proceedings of the 24th conference on Winter simulation
Downtime data—its collection, analysis, and importance
WSC '94 Proceedings of the 26th conference on Winter simulation
Guidelines for simulation project success
WSC '93 Proceedings of the 25th conference on Winter simulation
Simulation of manufacturing systems
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Smart modeling: smart modeling - basic methodology and advanced tools
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling Handbook: A Practical Approach
Simulation Modeling Handbook: A Practical Approach
Output analysis: analysis of simulation output
Proceedings of the 35th conference on Winter simulation: driving innovation
Inside discrete-event simulation software: how it works and why it matters
WSC '04 Proceedings of the 36th conference on Winter simulation
A new procedure model for verification and validation in production and logistics simulation
Proceedings of the 40th Conference on Winter Simulation
Systems Analysis & Design: An Active Approach
Systems Analysis & Design: An Active Approach
Project Management: A Systems Approach to Planning, Scheduling, and Controlling
Project Management: A Systems Approach to Planning, Scheduling, and Controlling
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When simulation analyses first became at least somewhat commonplace (as opposed to theoretical and research endeavors often considered esoteric or exploratory), simulation studies were usually not considered "projects" in the usual corporate-management context. When the evolution from "special research investigation" to "analytical project intended to improve corporate profitability" began in the 1970s (both authors' career work in simulation began that decade), corporate managers naturally and sensibly expected to apply the tools and techniques of project management to the guidance and supervision of simulation projects. Intelligent application of these tools is typically a necessary but not a sufficient condition to assure simulation project success. Based on various experiences culled from several decades (sometimes the most valuable lessons come from the least successful projects), we offer advisories on the pitfalls which loom at various places on the typical simulation project path.