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dc.contributor.authorAlmashaqbeh, Sahar
dc.contributor.authorMunive-Hernandez, J. Eduardo
dc.contributor.authorKhan, M. Khurshid
dc.date.accessioned2019-05-13T15:57:34Z
dc.date.available2019-05-13T15:57:34Z
dc.date.issued2019-07
dc.identifier.citationAlmashaqbeh S, Munive-Hernandez JE and Khan MK (2019) A System Dynamics Model for Supply Chain Risk Assessment. Proceedings of The World Congress on Engineering 2019, International Conference of Manufacturing Engineering and Engineering Management, The International Association of Engineers, London, Jul 3-5, London, UK. Accepted for publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17047
dc.descriptionNoen_US
dc.description.abstractRisk assessment is a strategic approach for building resilient supply chains in different types of industries, including the energy sector. In case of an important event with a high level of the risk happening, it could jeopardize the operations of an organization. This could even interrupt the delivery of a product or service, damaging the profitability and reputation of the organization. This could also have a long-term effect on the strategic performance of the firm. Furthermore, key risks might be linked through causal interrelationships. Given the nature of a dynamic business environment, risk assessment also needs to consider the effect of time on those risks. Hence, it is important to understand the behaviour of a complex and dynamic system of interrelated risks to improve strategic decision making in the energy sector. This paper presents a System Dynamics model to assess risks with a supply chain perspective for power plants. The risk assessment model was validated with a case study of three power plants in the Middle East. The developed risk assessment model allowed to understand the long-term effect of risk on three performance indicators: availability of the power plant, efficiency, and operational and maintenance costs. The model provides a different approach to traditional risk assessment by proposing a dynamic modelling methodology.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://www.iaeng.org/WCE2019/en_US
dc.subjectSystem dynamicsen_US
dc.subjectRisk Assessmenten_US
dc.subjectSimulationen_US
dc.subjectModellingen_US
dc.titleA System Dynamics Model for Supply Chain Risk Assessmenten_US
dc.status.refereedYesen_US
dc.date.Accepted2019-03
dc.typeConference paperen_US
dc.type.versionNo full-text in the repositoryen_US


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