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dc.contributor.authorForcael, Eric
dc.contributor.authorGonzález, Marcelo
dc.contributor.authorSoto, Jaime
dc.contributor.authorRamis, Francisco
dc.contributor.authorRodríguez, Carlos
dc.date.accessioned2018-12-17T03:07:59Z
dc.date.accessioned2022-04-04T16:24:54Z
dc.date.available2018-12-17T03:07:59Z
dc.date.available2022-04-04T16:24:54Z
dc.date.issued2018-09
dc.identifier.isbn978-0-9993443-1-6
dc.identifier.issn2414-6390
dc.identifier.otherhttp://laccei.org/LACCEI2018-Lima/meta/FP194.html
dc.identifier.urihttp://dx.doi.org/10.18687/LACCEI2018.1.1.194
dc.identifier.urihttp://axces.info/handle/10.18687/2018102_194
dc.description.abstractPlanning and Scheduling tools used by construction professionals nowadays not always consider the effect of variability in the construction process; they do not consider explicitly the effect of changes in activity durations along the production chain. Discrete event simulation approach is a relevant exception that deserves particular attention from the construction industry. The present research proposes a discrete event simulation model applied to a simplified construction process schedule. This model considered main construction activities divided in: foundations, structure and roofing. The model can be extended and easily applied to other construction activities. Input parameters for the model were obtained directly from on-site field experience and a beta unimodal distribution assigned. On a first stage, PERT scheduling methodology was used for the model, which was later compared with discrete event simulation. Results did not provide evidence of significant statistical differences between different probability distribution used with respect to the mean project duration obtained using PERT scheduling as compared to the discrete event simulation model. This provides conclusions about total project duration and validation of the probability distribution types considered in the present research.en_US
dc.language.isoEnglishen_US
dc.publisherLACCEI Inc.en_US
dc.rightsLACCEI License
dc.rights.urihttps://laccei.org/blog/copyright-laccei-papers/
dc.subjectSimplified Schedulingen_US
dc.subjectBuilding Constructionen_US
dc.subjectDiscrete Event Simulationen_US
dc.subjectPERTen_US
dc.titleSimplified Scheduling of a Building Construction Process using Discrete Event Simulation
dc.typeArticleen_US
dc.description.countryChileen
dc.description.institutionUniversidad del Bío-Bíoen
dc.description.trackEngineering Infrastructure, Construction Engineering, Logistics and Transportationen
dc.journal.referatopeerReview


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  • 2018 LACCEI - Lima, Perú
    The Sixteen LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology.

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