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Sampling of Variables in Discrete-Event Simulation Using the Example of Inventory Evolutions in Job-Shop-Systems Based on Deterministic and Non-Deterministic Data


Authors

  • Scholz-Reiter, B.
  • Toonen, C.
  • Tervo, J. T.
  • Lappe, D.

Meta information [BibTeX]

  • Year: 2011, Non Reviewed
  • In: World Academy of Science, Engineering and Technology - Special Journal Issue
  • Publisher: World Academy of Science, Engineering and Technology
  • Volume 5, Issue 1
  • Pages: 522-527
  • ISSN: 1307-6892



Arbeitsgruppe BIBA


Abstract

Time series analysis often requires data that represents the evolution of an observed variable in equidistant time steps. In order to collect this data sampling is applied. While continuous signals may be sampled, analyzed and reconstructed applying Shannon-s sampling theorem, time-discrete signals have to be dealt with differently. In this article we consider the discrete-event simulation (DES) of job-shop-systems and study the effects of different sampling rates on data quality regarding completeness and accuracy f reconstructed inventory evolutions. At this we discuss deterministic as well as non-deterministic behavior of system variables. Error curves are deployed to illustrate and discuss the sampling rate-s impact and to derive recommendations for its wellfounded choice.



Scholz-Reiter, B.; Toonen, C.; Tervo, J. T.; Lappe, D.
Sampling of Variables in Discrete-Event Simulation Using the Example of Inventory Evolutions in Job-Shop-Systems Based on Deterministic and Non-Deterministic Data
In: World Academy of Science, Engineering and Technology - Special Journal Issue, 5(2011)1, World Academy of Science, Engineering and Technology, pp. 522-527
(Workgroup: BIBA)
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