Empirical model-building and response surface
Empirical model-building and response surface
Simulation: a problem-solving approach
Simulation: a problem-solving approach
Validation of models: statistical techniques and data availability
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Guidelines for successful simluation studies (tutorial session)
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Planning for verification, validation, and accreditation of modeling and simulation applications
Proceedings of the 32nd conference on Winter simulation
Simulation: The Practice of Model Development and Use
Simulation: The Practice of Model Development and Use
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 35th conference on Winter simulation: driving innovation
Managing Information Quality: Increasing the Value of Information in Knowledge-intensive Products and Processes
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Conceptual modeling for simulation: issues and research requirements
Proceedings of the 38th 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
A methodology for input data management in discrete event simulation projects
Proceedings of the 40th Conference on Winter Simulation
Towards assisted input and output data analysis in manufacturing simulation: the EDASim approach
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Selecting simualtion abstraction levels in simulation models of complex manufacturing systems
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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Verification and Validation (V&V) of simulation models have been strongly investigated in the context of defense applications. Significantly less substantial work can be found for applications in production and logistics, which is surprising when taking into account the massive impact that wrong or inadequate simulation results can have on strategic and investment-related decisions for large production and logistics systems. The authors have, therefore, founded an expert group for this specific topic in the year 2003. The major result of this expert group was the development of a specific procedure model for V&V in the context of simulation for production and logistics, which was documented in a book (in German) and summarized in a paper at the WSC'2008. This paper explains details of the approach, discussing the criteria to be applied when assessing the validity of a model, and providing examples how to conduct V&V with reference to these criteria.