Estimating the probability of an event execution in qualitative discrete event simulation

Authors:
Yen-Ping Leow-Sehwail;Ricki G. Ingalls
Affiliations:
Sehwail Consulting Group, Amman, Jordan;Oklahoma State University, Stillwater, OK
Venue:
Proceedings of the Winter Simulation Conference
Year:
2010

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Abstract

Qualitative Discrete Event Simulation (QDES) is an event scheduling approach that uses the Qualitative Event Graphs (QEGs) and the Event Graphs (EGs) as a general framework to discrete event simulation modeling. In QDES, the uncertainty in event execution times is represented in a closed time interval in R. When two or more event execution times overlap, it results in multiple event execution sequences or threads in the QDES output. In this paper, we introduce a methodology to estimate the probability of an event execution from QDES model.