Allocation and scheduling of rescue units in natural disaster with considering fatigue effect

Natural disasters, such as earthquakes, tsunamis, and hurricanes cause enormous harm each year. To reduce casualties and economic losses during the response phase, rescue units must be allocated and scheduled efficiently. It is a key issues in emergency response. In this paper, a mix integer nonlinear programming model (MINLP) proposed to minimize sum of weighted completion times of relief operations with fatigue effect consideration. After relief to several incidents, rescuers become tired and need a more time to relief the remaining incidents that assigned to them. The rescue units also have different capability and each incident just can be allocated to a rescue unit that has the ability to do it. It is assumed that incidents and rescue units are jobs and machine respectively. Therefore, the problem is formulated as a parallel-machine scheduling problem with unrelated machines. The proposed model is solved with LINGO 16 software and the obtained results are analyzed in three different scenarios.

Keywords:

Fatigue effect , Natural disaster management , Allocation and scheduling