Pre-positioning of Relief Inventories in Humanitarian Logistics Considering Network Risk and Heterogeneous Vehicle

Abstract

With the massive population growth brought about by technological reforms and the global trend of urbanization the impact and scale of major global disasters have intensified over the past few decades Both economy and even the safety of life has caused losses Although modern technology has not yet been able to completely avoid disasters adequate pre-disaster preparedness strategies and formulate post-disaster response measures are still helpful to reduce the impact of disasters Before a disaster we choose a suitable storage location to store the emergency items needed after the disaster to reduce the possibility of material shortages (pre-positioning stage) After a disaster it is necessary to plan the route to transport the materials to the people in the disaster area quickly (deliver stage) Relief organizations and related government agencies may have stretch budget so how to reduce costs as much as possible while meeting demand has become one of the objectives We proposed a mixed integer programming model for pre-positioning stage and deliver stage respectively then compared them with the model that without pre-positioning The results show that pre-positioning and inventory can effectively reduce total cost and quickly deliver material to disaster areas Finally in the sensitivity analysis we analyzed the accuracy of the estimated demand and different road interruption probabilities

Date of Award	2020
Original language	English
Supervisor	Shiow-Yun Chang (Supervisor)