Modelling of uncertainty in minimising the cost of inventory for disaster relief

dc.contributor.authorVan Wyk, Estelle
dc.contributor.authorBean, Willemiena Lodewika
dc.contributor.authorYadavalli, Venkata S. Sarma
dc.contributor.emailestelle.vanwyk@up.ac.zaen_US
dc.date.accessioned2011-05-11T11:42:52Z
dc.date.available2011-05-11T11:42:52Z
dc.date.issued2011-05
dc.description.abstractNatural disasters - and even those caused by people - are largely unpredictable. So disasters need to be researched and their impact fully understood, so that the aid supplies required to ensure survival during and after disaster events will be available. The member states of the Southern African Development Community (SADC) are the countries of interest for this paper, as insufficient research has been conducted into inventory pre-positioning for disaster response in these countries. It is vital to anticipate the needs of disaster victims in potential disasters. These needs are evaluated according to the types and amounts of aid supplies required. This paper proposes a stochastic inventory model that can be applied in a generic way to any SADC country, providing a means to improve disaster preparedness through keeping aid supplies in pre-positioned facilities in the SADC region, at reasonable and affordable cost.en_US
dc.description.abstractNatuurlike en mensgemaakte rampe is grootliks onvoorspelbaar. Gevolglik moet rampe nagevors en hul impak ten volle begryp word, sodat noodvoorrade wat benodig word vir oorlewing doeltreffend beplan kan word vir aanwending tydens en na rampgebeure. Die lede van die Suid-Afrikaanse Ontwikkelingsgemeenskap (SAOG) is die lande van belang vir hierdie artikel omrede navorsing oor voorraadhouding vir rampreaksie in hierdie betrokke lande tot nog toe onvoldoende was. Dit is noodsaaklik om doeltreffend in die behoeftes van rampslagoffers te voorsien. Hierdie behoeftes word beoordeel na aanleiding van die aard en hoeveelhede van noodvoorrade wat benodig mag word in ramptoestande. Hierdie artikel stel 'n stochastiese voorraadmodel voor vir toepassing op 'n generiese wyse in enige SAOG land, om sodoende 'n metode te verskaf om rampvoorbereiding te verbeter deur die opgaar van noodvoorrade in vooraf-geïdentifiseerde fasiliteite binne die SAOG, teen redelike en bekostigbare koste.en_US
dc.identifier.citationVan Wyk, E, Bean, WL & Yadavalli, VSS 2011, 'Modelling of uncertainty in minimising the cost of inventory for disaster relief', South African Journal of Industrial Engineering, vol. 22, no. 1, pp. 1-11. [http://www.journals.co.za/ej/ejour_indeng.html]en_US
dc.identifier.issn1012-277X
dc.identifier.urihttp://hdl.handle.net/2263/16560
dc.language.isoenen_US
dc.publisherSouthern African Institute for Industrial Engineeringen_US
dc.rightsSouthern African Institute for Industrial Engineeringen_US
dc.subjectDisaster reliefen_US
dc.subjectLogistics
dc.titleModelling of uncertainty in minimising the cost of inventory for disaster reliefen_US
dc.typeArticleen_US

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