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dc.contributor.authorAlmashaqbeh, Sahar
dc.contributor.authorMunive-Hernandez, J. Eduardo
dc.contributor.authorKhan, M. Khurshid
dc.date.accessioned2019-05-14T13:31:30Z
dc.date.available2019-05-14T13:31:30Z
dc.date.issued2018-07
dc.identifier.citationAlmashaqbeh S, Munive-Hernandez JE and Khan MK (2018) Developing a FMEA Methodology to Assess Non-Technical Risks in Power Plants. Proceedings of the World Congress on Engineering 2018, International Conference of Manufacturing Engineering and Engineering Management, The International Association of Engineers, London, Jul 4-6, London UK:499-504.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17051
dc.descriptionNoen_US
dc.description.abstractRisk Management is one of the most relevant approaches and systematic application of strategies, procedures and practices management that have been introduced in literature to identifying and analysing risks which exist through the whole life of a product or a process. As a quality management tool, the novelty of this paper suggests a modified Failure Modes and Effect Analysis (FMEA) for understanding the non-technical risk comprehensively, and to attain a systemic methodology by decomposing the risk for nine risk categories including an appropriate 84 Risk Indicators (RI's) within all those categories through the Life Cycle (LC) stages of power plants. These risk categories have been identified as: economic risks, environmental and safety health risks, social risks, technological risks, customer/demand risks, supply chain risks, internal and operational business process risks, human resources risks and management risks. These indicators are collected from literatures. The enhanced FMEA has combined the exponential and the weighted geometric mean (WGM) to calculate the Exponential Weighted Geometric Mean-RPN (EWGM-RPN). The EWGM-RPN can be used to evaluate the risk level, after which the high-risk areas can be determined. Subsequently, effective actions either preventive or corrective can be taken in time to reduce the risk to an acceptable level. However, in this paper the FMEA will not adapt an action plan. Due to that, all RPN's will be considered depending on the point scale (1 to 5) afterward, the results will be combined and extended later with AHP. This developed methodology is able to boost effective decision- making about risks, improve the awareness towards the risk management at power plants, and assist the top management to have an acceptable and preferable understanding of the organisation than lower level managers do who are close to the day-to-day (tactical plan). Additionally, this will support the organisation to develop strategic plans which are for long term. And the essential part of applying this methodology is the economic benefit. Also, this paper includes developed sustainability perspective indicators with a new fourth pillar, which is the technological dimension. The results of the analysis show that the potential strategic makers should pay special attention to the environmental and internal and operational business process risks. The developed methodology will be applied and validated for different power plants in the Middle East. An expanded validation is required to completely prove drawbacks and benefits after completing the Analytical Hierarchy Process (AHP) model.en_US
dc.description.sponsorshipHashemite University, Jordanen_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://www.iaeng.org/publication/WCE2018/WCE2018_pp499-504.pdfen_US
dc.subjectExponential Weighted Geometric Mean-RPNen_US
dc.subjectEWGM-RPNen_US
dc.subjectFailure Mode and Effects Analysisen_US
dc.subjectFMEAen_US
dc.subjectRisk indicatorsen_US
dc.subjectRIen_US
dc.subjectRisk managementen_US
dc.subjectRMen_US
dc.titleDeveloping a FMEA Methodology to Assess Non-Technical Risks in Power Plantsen_US
dc.status.refereedYesen_US
dc.typeConference paperen_US
dc.type.versionNo full-text in the repositoryen_US
refterms.dateFOA2019-05-14T13:31:30Z


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