Secrets of successful simulation projects
WSC '95 Proceedings of the 27th conference on Winter simulation
Data requirements for analysis of manufacturing systems using computer simulation
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Computer Simulation in Management Science
Computer Simulation in Management Science
Introduction to Simulation Using SIMAN
Introduction to Simulation Using SIMAN
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Database driven factory simulation: a proof-of-concept demonstrator
Proceedings of the 33nd conference on Winter simulation
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
Building credible input models
WSC '04 Proceedings of the 36th conference on Winter simulation
Verification and validation of simulation models
WSC '05 Proceedings of the 37th conference on Winter simulation
Input data management methodology for discrete event simulation
Winter Simulation Conference
Winter Simulation Conference
Simulation modeling in the social care sector: a literature review
Proceedings of the Winter Simulation Conference
Towards assisted input and output data analysis in manufacturing simulation: the EDASim approach
Proceedings of the Winter Simulation Conference
Applying semantic web technologies for efficient preparation of simulation studies in manufacturing
Proceedings of the Winter Simulation Conference
Energy efficiency analysis for a casting production system
Proceedings of the Winter Simulation Conference
A method for determining the environmental footprint of industrial products using simulation
Proceedings of the Winter Simulation Conference
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Discrete event simulation (DES) projects rely heavily on high input data quality. Therefore, the input data management process is very important and, thus, consumes an extensive amount of time. To secure quality and increase rapidity in DES projects, there are well structured methodologies to follow, but a detailed guideline for how to perform the crucial process of handling input data, is missing. This paper presents such a structured methodology, including description of 13 activities and their internal connections. Having this kind of methodology available, our hypothesis is that the structured way to work increases rapidity for input data management and, consequently, also for entire DES projects. The improvement is expected to be larger in companies with low or medium experience in DES.