Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5143
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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorLiew, KC-
dc.creatorLee, KM-
dc.date.accessioned2014-12-11T08:25:24Z-
dc.date.available2014-12-11T08:25:24Z-
dc.identifier.urihttp://hdl.handle.net/10397/5143-
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.rights© 2012 Liew and Lee; licensee InTech. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.subjectRisk managementen_US
dc.subjectSimulationen_US
dc.subjectRisk mitigationen_US
dc.subjectMarine and offshore industryen_US
dc.titleModelling and risk management in the offshore and marine industry supply chainen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: C. K. M. Leeen_US
dc.identifier.spage1-
dc.identifier.epage7-
dc.identifier.volume4-
dc.identifier.issue1-
dc.identifier.doi10.5772/45738-
dcterms.abstractSupply chain risk management is primarily a process that involves the identification, assessment and mitigation of risks that arise in a particular supply chain system. Pertaining to that, the offshore and marine industry is one of the many industries that have seldom received much consideration when it comes to management of the supply chain system. The rig building facet of the offshore and marine industry was thus chosen as the main focus of the project to manage the risks that arise in a particular oil rig building project. A risk mitigation plan framework was proposed to act as a guideline to identify as much risk as possible, eliminate trivial ones, and subsequently, prioritizing the remaining ones. The final step involves the formulation of a mathematical model based on the selected risk. In this case, the risk of raw material price fluctuation is studied. The demonstration of the Monte Carlo simulation using the Risk Solver program was also done to quantify the risks. Two case scenarios were then developed along with the implementation of risk management techniques in order to observe the effectiveness of the risk management of the overall rig building supply chain.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of engineering business management, 2012, v. 4, no. 1, p. 1-7-
dcterms.isPartOfInternational journal of engineering business management-
dcterms.issued2012-
dc.identifier.scopus2-s2.0-84865339955-
dc.identifier.eissn1847-9790-
dc.identifier.rosgroupidr59962-
dc.description.ros2011-2012 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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