Chalmers Research (Chalmers University of Technology) · 2007 · 29 citations · 4 references
EngineeringSimulationDiscrete-event SimulationOperations ResearchSimulation MethodologyData ScienceInput Data ManagementManagementSystems EngineeringData IntegrationModeling And SimulationSystem SimulationData ManagementInput Data QualitySimulation LanguageQuantitative ManagementData ModelingDiscrete Event SimulationInput Data PhaseComputer EngineeringEvent-driven ProgrammingSimulation InfrastructureIndustrial InformaticsBig Data
The success of a discrete event simulation project is a reflection of the input data quality. In order to achieve high quality data a significant amount of time needs to be spent, either due to absence of data or problems with defining and extracting existing data from databases. This paper presents a distribution of the time-consumption for the activities in the input data phase during discrete event simulation projects. The results show where efforts need to be focused to decrease time-consumption and improve quality of input data management.
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