Emergency Management

Emergency Management

Optimization of multi-product dynamic routing model for vehicles after disaster, with justifiability of demand shortage

Document Type : Original Article

Authors
Sohrab Abdollahzadeh 1
Tina Namdari 2
1 Industrial Engineering Dept., Faculty, Urmia University of Technology, Urmia, Iran.
2 MA student, Industrial Engineering Dept., Urmia University of Technology, Urmia, Iran.
Abstract
Regarding the five-fold increase in unexpected accidents in the past decade and the increase in its human and financial
losses, the relief supply chain has always been considered by humanitarian organizations as a suitable
solution to reduce the cost of disaster. One of the most important fields in this area is the routing of vehicles, which
has an important role in improving service to the injured. Undoubtedly, the selection of inappropriate routes for
vehicles has a negative effect on timely and suitable relief operations. Several studies have been conducted in this
regard, the models presented by them are often periodic and single-product, and the demand shortage of shelters
is not permitted. In this research, a multi-product relief chain network has been proposed, including three main
areas: vehicle maintenance centers, distribution centers for relief supply chains and shelters. The proposed mathematical
model, with a goal to maximizing the supplied demand, by a minimum of vehicle and time, addresses the
dynamically routing of vehicles. In the event of excess demand, at the end of the operational periods, the amount
of unsupplied demand for each type of product will also be determined in terms of each shelter. In order to validate
the proposed model, information of the 4th district of Tehran province, which is published in the basic papers, is
utilized and has been solved by GAMS software. The results of the numerical solution of the model showed that
all relief operations are in order to maximize the supply of demand in the shortest time. Also, the amount of unsupplied
demand for shelters, the amount and type of goods carried, and the route of each vehicle’s movement in each
period, are other outcomes of the model
Keywords
Disaster management
dynamic routing
multi-product
unsupplied demand
humanitarian supply chain
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  • Receive Date 11 January 2019
  • Revise Date 08 May 2019
  • Accept Date 17 December 2019