Bernd Scholz-Reiter and Christian Toonen and Jan Topi Tervo and Dennis Lappe
Sampling of Variables in DiscreteEvent Simulation using the Example of Inventory Evolutions in JobShopSystems Based on Deterministic and NonDeterministic Data
27 - 32
2011
5
1
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/5934
https://publications.waset.org/vol/49
World Academy of Science, Engineering and Technology
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
Shannons sampling theorem, timediscrete signals have to be dealt
with differently. In this article we consider the discreteevent
simulation (DES) of jobshopsystems and study the effects of
different sampling rates on data quality regarding completeness and
accuracy of reconstructed inventory evolutions. At this we discuss
deterministic as well as nondeterministic behavior of system
variables. Error curves are deployed to illustrate and discuss the
sampling rates impact and to derive recommendations for its wellfounded
choice.
Open Science Index 49, 2011