Construction simulation using fuzzy durations

T. M. Cheng, W. D. Yu, N. F. Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traditional stochastic discrete event simulation method requires the users to fit the task duration data with an empirical probability function or a theoretical probability density function. This has limited the application of discrete event simulation techniques from research stage to construction practice due to the tedious data fitting tasks required for the construction operation planners lacking of statistical background. On the other hand, usually the activity duration estimated by practitioners contains some kind of vagueness caused by estimator's subjective judgment. This type of vagueness may be more appropriate to be modeled by fuzzy numbers that does not require data fitting. This paper proposes a new mechanism where duration modeled by fuzzy numbers can be used in discrete event simulation. As a result, the tedious data fitting tasks are eliminated and the uncertainty of task duration is still taken into account.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Engineering Computational Technology
Publication statusPublished - 2006 Dec 1
Event5th International Conference on Engineering Computational Technology, ECT 2006 - Las Palmas de Gran Canaria, Spain
Duration: 2006 Sep 122006 Sep 15

Publication series

NameProceedings of the 5th International Conference on Engineering Computational Technology

Other

Other5th International Conference on Engineering Computational Technology, ECT 2006
CountrySpain
CityLas Palmas de Gran Canaria
Period06-09-1206-09-15

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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