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Managing Uncertainty in Multi-Project Constructing for Environmental Issues on Project Completion Late Delivery

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dc.contributor.author Zirawani Baharum, Salihin M.Ngadiman
dc.contributor.author Noorfa H. Mustaffa
dc.date.accessioned 2014-12-11T02:07:04Z
dc.date.available 2014-12-11T02:07:04Z
dc.date.issued 2014-12-11
dc.identifier.uri http://localhost/xmlui/handle/123456789/8972
dc.description Conference venue:Cameron Highlands en_US
dc.description.abstract Modern 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.subject Conceptual Model en_US
dc.subject Construction Industry en_US
dc.subject Environmental Issues en_US
dc.subject Late Delivery en_US
dc.subject Uncertainty en_US
dc.title Managing Uncertainty in Multi-Project Constructing for Environmental Issues on Project Completion Late Delivery en_US
dc.conference.name Regional Conference On Science, Technology & Social Sciences en_US
dc.conference.year 2014 en_US


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