Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/8972
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dc.contributor.authorZirawani Baharum, Salihin M.Ngadiman-
dc.contributor.authorNoorfa H. Mustaffa-
dc.date.accessioned2014-12-11T02:07:04Z-
dc.date.available2014-12-11T02:07:04Z-
dc.date.issued2014-12-11-
dc.identifier.urihttp://localhost/xmlui/handle/123456789/8972-
dc.descriptionConference venue:Cameron Highlandsen_US
dc.description.abstractModern construction industry has many underlying causes of uncertainty that impact on late delivery of project completion's performance. A comprehensive literature review found that many researchers from many of countries using various techniques to tackle the uncertainty with less consciousness on environmental issues. Uncertainty modelling on project completion late delivery (PCLD) in environmental issues is intentionally to manage the project performance, hence to maximize the customer’s satisfaction. From research surveys, the relationships of causes and effect that underlying uncertainty on PCLD in environmental issues is constructed via conceptual model. It is involving piping's construction industry for water supply company with multi-project construction environment. The uncertainties factors are modelled by diagnose the significant factors with fractional factorial design using analysis of variance. Next, simulation modelling and experimental study of the underlying causes of uncertainty on PCLD based on real case study verify and validate this suggestion. Consequently, the model of uncertainty will provided the industries with a reference on the underlying causes of uncertainty that must be tackled with higher priority, and may avoid the estimation on lead time.en_US
dc.subjectConceptual Modelen_US
dc.subjectConstruction Industryen_US
dc.subjectEnvironmental Issuesen_US
dc.subjectLate Deliveryen_US
dc.subjectUncertaintyen_US
dc.titleManaging Uncertainty in Multi-Project Constructing for Environmental Issues on Project Completion Late Deliveryen_US
dc.conference.nameRegional Conference On Science, Technology & Social Sciencesen_US
dc.conference.year2014en_US
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