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dc.contributor.authorRodríguez-Espíndola, O.*
dc.contributor.authorDespoudi, S.*
dc.contributor.authorAlbores, P.*
dc.contributor.authorSivarajah, Uthayasankar*
dc.date.accessioned2019-05-07T15:51:52Z
dc.date.available2019-05-07T15:51:52Z
dc.date.issued2019
dc.identifier.citationRodríguez-Espíndola O, Despoudi S, Albores P et al (2019) Achieving Agility in Evacuation Operations: An Evidence-Based Framework. Production Planning and Control. Accepted for publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17026
dc.descriptionYesen_US
dc.description.abstractThere is an agreement among European countries about the need to achieve efficient, effective and responsive evacuations as part of disaster management. Evacuations face uncertain and dynamic conditions, which often challenge the expectations at the planning stage. This research looks at the adoption of agility in evacuation operations. Managers involved in disaster operations in three countries were interviewed to identify current practices and needs during evacuations. This article looks at the potential of beneficiary engagement, staff and information, cooperation, and fitness for change to incorporate agile practices at each one of the stages of evacuation planning. The purpose is to provide an Agile Evacuation Operations (AEO) evidence-based framework to inform theory and practice. The analysis provided shows that along with current practices it is important to engage the beneficiaries more closely, empower and train the staff to react to unexpected conditions, and take advantage of local knowledge to enhance operations.en_US
dc.description.sponsorshipThe data collection was funded with the support of the European Commission, Directorate-General Home Affairs.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://www.tandfonline.com/loi/tppc20en_US
dc.subjectEvacuationen_US
dc.subjectHumanitarian operationsen_US
dc.subjectAgilityen_US
dc.subjectAgile Evacuation Operationsen_US
dc.subjectAEOen_US
dc.titleAchieving Agility in Evacuation Operations: An Evidence-Based Frameworken_US
dc.status.refereedYesen_US
dc.date.Accepted2019-03-26
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.description.publicnotesThe full-text of this article will be released for public view 12 months after publication.en_US
refterms.dateFOA2019-05-07T15:51:52Z


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