Abstract
It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.
Highlights
After a sudden-onset earthquake disaster in a certain area, 20 disaster-stricken locations are waiting for emergency rescue supplies and two distribution centers in this area can play the role middle-level distribution centers
Based on the abovementioned literature review, most studies are focused on targets such as scheduling time and cost, but few considered the reliable supply distribution path programming under the situation that the roads are damaged. us, this paper combines the bi-level programming model and the “soft time window” problem caused by road network failure and proposes a reliable emergency supply scheduling scheme, which is dispatched in possibly damaged roads
Aiming at the problem of reliable emergency supply scheduling in the rescue operation of sudden-onset natural disaster rescue, this paper combines the actual situation of multiple distribution centers and multiple supply-needed locations and designs a bi-level model
Summary
Lots of literatures have studied the problem of postdisaster scheduling of emergency supplies. Us, this paper combines the bi-level programming model and the “soft time window” problem caused by road network failure and proposes a reliable emergency supply scheduling scheme, which is dispatched in possibly damaged roads. Based on the abovementioned literature review, most studies are focused on targets such as scheduling time and cost, but few considered the reliable supply distribution path programming under the situation that the roads are damaged. In this scheme, the distribution of relief supplies with different degrees of urgency and the situation of multiple relief points are fully considered. The minimal total cost of bilevel distribution as well as the shortest distribution time is at the lower level
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