Downtime data—its collection, analysis, and importance
WSC '94 Proceedings of the 26th conference on Winter simulation
Secrets of successful simulation projects
WSC '95 Proceedings of the 27th conference on Winter simulation
Database driven factory simulation: a proof-of-concept demonstrator
Proceedings of the 33nd conference on Winter simulation
The expanding role of simulation in future manufacturing
Proceedings of the 33nd conference on Winter simulation
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Simulation: The Practice of Model Development and Use
Simulation: The Practice of Model Development and Use
Proceedings of the 35th conference on Winter simulation: driving innovation
A test implementation of the core manufacturing simulation data specification
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Representing layout information in the CMSD specification
Proceedings of the 40th Conference on Winter Simulation
PerMIS '09 Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems
Input data management methodology for discrete event simulation
Winter Simulation Conference
Enabling flexible manufacturing systems by using level of automation as design parameter
Winter Simulation Conference
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Input data management is a crucial and time-consuming part of a simulation project. Consequently, improvement of this process has substantial potential to increase the rapidity of simulation projects, thus enabling more detailed analyses in design and development of production systems. This paper presents the development of a concept and an associated software demonstrator called the Generic Data Management Tool (GDM-Tool), which automates several critical and time-consuming data input activities. More specifically, raw data are extracted from multiple sources, with different data structures, and transformed to simulation input through data cleaning, calculations and distribution fitting, all done in one automated process. Finally, the simulation input is presented in the Core Manufacturing Simulation Data format, for further use in simulation applications. As a first step towards validation, the GDM-Tool was evaluated during a case study in the automotive industry. The results show that the time needed for input data management was reduced by 78%, as relative to a traditional manual approach.