Modeling uncertain activity duration by fuzzy number and discrete-event simulation

Modeling uncertain activity duration by fuzzy number and discrete-event simulation

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Article ID: iaor20061852
Country: Netherlands
Volume: 164
Issue: 3
Start Page Number: 715
End Page Number: 729
Publication Date: Aug 2005
Journal: European Journal of Operational Research
Authors: , ,
Keywords: fuzzy sets
Abstract:

This paper introduces how to incorporate fuzzy theory and a fuzzy ranking measure with discrete-event simulation in order to model uncertain activity duration in simulating a real-world system, especially when insufficient or no sample data are available. Fuzzy numbers are used to describe uncertain activity durations, reflecting vagueness, imprecision and subjectivity in the estimation of them. A fuzzy ranking measure is merged with an activity scanning simulation algorithm for performing fuzzy simulation time advancement and event selection for simulation experimentation. The uses of the fuzzy activity duration and the probability distribution-modeled duration are compared through a series of simulation experiments. It is observed that the fuzzy simulation outputs are arrived at through only one cycle of fuzzy discrete-event simulation, still they contain all the statistical information that is produced through multiple cycles of simulation experiments when the probability distribution approach is adopted.

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