Aid Replenishment Strategy During Demand Increment on Humanitarian Logistics Relief
Paulina Ariningsih (Parahyangan Catholic University, Indonesia); Alfian Tan (Universitas Katolik Parahyangan, Bandung, Indonesia); Sani Susanto (Universitas Katolik Parahyangan (UNPAR), Indonesia)
Replenishment strategy is very important to any aid agencies, especially in the relief phase, where the aid is critical to ensure that people will survive. During the relief phase, the demand pattern has a certain trend. Characteristics of traditional Economic Order Quantity (EOQ) may not be suitable to be applied during the phase. Therefore, an alternative mathematical model is proposed in this article. The model is developed by considering risk of increasing demand and also risk of shortage. With respect to the model, an analytical calculation approach is built to get the depiction of model's implementation. Based on the implementation, we obtain that during logistics response relief; the more frequent the replenishment, the higher service levels would be, without compromising the cost. In this paper, some future potential researches are also suggested.
Journal: International Journal of Simulation: Systems, Science and Technology IJSSST V19
Published: Feb 28, 2018