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dc.contributor.authorErgin A.
dc.contributor.authorBalas C.E.
dc.contributor.authorKeyder E.
dc.date.accessioned2020-06-21T09:19:52Z
dc.date.available2020-06-21T09:19:52Z
dc.date.issued1995
dc.identifier.isbn1880653168
dc.identifier.issn1098-6189
dc.identifier.urihttps://hdl.handle.net/20.500.12712/3167
dc.description5th International Offshore and Polar Engineering Conference, ISOPE 1995 -- 11 June 1995 through 16 June 1995 -- -- 139504en_US
dc.description.abstractStochastic models can be used efficiently in order to model the uncertainties in the activity cost and schedules of the offshore platform construction projects. However, they have some disadvantages. For example, the Program Evaluation and Review Technique (PERT) which is a Level II model, will introduce additional bias problems in the estimation of the activity duration. Level III stochastic models (e.g. Monte Carlo simulation), which are developed to avoid the bias problems of the PERT require lots of computational efforts. In this study, the available stochastic models used in the determination of the optimum time and cost trade-off of the offshore construction projects are compared with respect to their efficiencies. Monte Carlo simulations of the network are performed and a network planning model is suggested. These models are applied to Gulf of Mexico offshore platform (Bullwinkle) project. © 1995 by The International Society of Offshore and Polar Engineers.en_US
dc.language.isoengen_US
dc.publisherInternational Society of Offshore and Polar Engineersen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMonte Carlo simulationen_US
dc.subjectNetwork planning modelen_US
dc.subjectProbability distributionsen_US
dc.subjectProject schedule and budgeten_US
dc.titleA network planning model for offshore structuresen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentOMÜen_US
dc.identifier.volume1995-Juneen_US
dc.identifier.startpage227en_US
dc.identifier.endpage230en_US
dc.relation.journalProceedings of the International Offshore and Polar Engineering Conferenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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