Aid Replenishment Strategy during Demand Increment On Humanitarian Logistics Relief

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dc.contributor.author Ariningsih, Paulina Kus
dc.contributor.author Tan, Alfian
dc.contributor.author Susanto, Sani
dc.date.accessioned 2018-05-02T02:47:25Z
dc.date.available 2018-05-02T02:47:25Z
dc.date.issued 2018
dc.identifier.issn 1473-8031 (orint)
dc.identifier.issn 1473-804X (online)
dc.identifier.other artsc279
dc.identifier.uri http://hdl.handle.net/123456789/5700
dc.description INTERNATIONAL JOURNAL OF SIMULATION: Systems, Science & Technology; Vol.19 No.1, February 2018
dc.description.abstract Replenishment strategy is very important to any aid agency. A situation that an agency may handle is a disaster relief program. A good aid replenishment strategy during this period is critical. The fulfillment of any item needed is important to ensure the survival ability of the victim. The demand of items may have certain patterns, including a trend characteristic. The traditional Economic Order Quantity (EOQ) may not be suitable to be applied during this situation. Therefore, an alternative mathematical model is proposed. The model is developed by considering the increasing demand behavior, the deterioration of inventory item, the urgency of items during the period, and the shortage issue. An analytical calculation approach is performed to demonstrate how the model could be implemented. The result shows that the more often the replenishment is executed, the higher the service level will be, without compromising the cost. At the end of this research we also suggest some future potential work to perform. en_US
dc.language.iso en en_US
dc.publisher United Kingdom Simutaion Society en_US
dc.relation.ispartofseries INTERNATIONAL JOURNAL OF SIMULATION: Systems, Science & Technology;Vol.19 No.1, February 2018
dc.subject AID REPLENISHMENT STRATEGY en_US
dc.subject LOGISTICS RESPONSE en_US
dc.subject DISASTER RELIEF en_US
dc.subject HUMANITARIAN LOGISTICS en_US
dc.title Aid Replenishment Strategy during Demand Increment On Humanitarian Logistics Relief en_US
dc.type Journal Articles en_US


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