Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17259
Title: Modeling uncertain activity duration by fuzzy number and discrete-event simulation
Authors: Zhang, H
Tam, CM
Li, H 
Keywords: Discrete-event simulation
Fuzzy number
Fuzzy ranking
Fuzzy sets theory
Uncertainty activity duration
Issue Date: 2005
Publisher: Elsevier
Source: European journal of operational research, 2005, v. 164, no. 3 SPEC. ISS., p. 715-729 How to cite?
Journal: European journal of operational research 
Abstract: This paper introduces how to incorporate fuzzy set 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 are produced through multiple cycles of simulation experiments when the probability distribution approach is adopted.
Description: This is a special issue for the papers presented in the biannual workshop on ‘‘Scheduling in Computer and Manufacturing Systems’’, organized in Dagstuhl Castle, June 2–7, 2002.
URI: http://hdl.handle.net/10397/17259
ISSN: 0377-2217
EISSN: 1872-6860
DOI: 10.1016/j.ejor.2004.01.035
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