Title :
Estimating the probability of an event execution in Qualitative Discrete Event Simulation
Author :
Leow-Sehwail, Yen-Ping ; Ingalls, Ricki G.
Author_Institution :
Sehwail Consulting Group, Amman, Jordan
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.
Keywords :
discrete event simulation; estimation theory; graph theory; probability; closed time interval; event execution; event scheduling approach; probability estimation; qualitative discrete event simulation; qualitative event graphs; Calendars; Clocks; Delay; Discrete event simulation; Probability distribution; Schedules;
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2010 Winter
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-9866-6
DOI :
10.1109/WSC.2010.5679077