An overall framework for generating simulation-based cycle time-throughput curves

Sungmin Park, Gerald T. Mackulak, John Fowler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

A simulation-based cycle time-throughput curve requires a large amount of simulation output data, and an experimentation framework is needed to enhance the precision and accuracy of a simulation-based cycle time-throughput curve. In this research, approaches and solutions are presented on three prime issues: 1) the establishment of the simulation sampling strategies; 2) the determination of the simulation sequences; and 3) the determination of the length of a simulation run. First, strategic simulation sampling guidelines are proposed as to how to use a fixed amount of samples when trying to generate a precise and accurate cycle time-throughput curve for complex systems. Second, in order to provide good references for the sequential experiments to generate precise simulation-based cycle time-throughput curves, a set of discrete design points is ranked sequentially. Third, a sequential stopping rule is developed to determine the length of a simulation run based on a time series forecasting procedure.

Original languageEnglish (US)
Title of host publicationWinter Simulation Conference Proceedings
EditorsB.A. Peters, J.S. Smith, D.J. Medeiros, M.W. Rohrer
Pages1178-1187
Number of pages10
Volume2
StatePublished - 2001
EventProceedings of the 2001 Winter Simulation Conference - Arlington, VA, United States
Duration: Dec 9 2001Dec 12 2001

Other

OtherProceedings of the 2001 Winter Simulation Conference
Country/TerritoryUnited States
CityArlington, VA
Period12/9/0112/12/01

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality
  • Applied Mathematics
  • Modeling and Simulation

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