A dynamic logistics coordination model for evacuation and support in disaster response activities

By Wei Yi, Linet Özdamar. European Journal of Operational Research, 2007

771 citations recorded by the source corpus.

Abstract This paper describes an integrated location-distribution model for coordinating logistics support and evacuation operations in disaster response activities. Logistics planning in emergencies involves dispatching commodities (e.g., medical materials and personnel, specialised rescue equipment and rescue teams, food, etc.) to distribution centres in affected areas and evacuation and transfer of wounded people to emergency units. During the initial response time it is also necessary to set up temporary emergency centers and shelters in affected areas to speed up medical care for less heavily wounded survivors. In risk mitigation studies for natural disasters, possible sites where these units can be situated are specified according to risk based urban structural analysis. Logistics coordination in disasters involves the selection of sites that result in maximum coverage of medical need in affected areas. Another important issue that arises in such emergencies is that medical personnel who are on duty in nearby hospitals have to be re-shuffled to serve both temporary and permanent emergency units. Thus, an optimal medical personnel allocation must be determined among these units. The proposed model also considers this issue. The proposed model is a mixed integer multi-commodity network flow model that treats vehicles as integer commodity flows rather than binary variables. This results in a more compact formulation whose output is processed to extract a detailed vehicle route and load instruction sheet. Post processing is achieved by a simple routing algorithm that is pseudo-polynomial in the number of vehicles utilized, followed by the solution of a linear system of equations defined in a very restricted domain. The behavior and solvability of the model is illustrated on an earthquake scenario based on Istanbul’s risk grid as well as larger size hypothetical disaster scenarios.

Subfields: Industrial and Manufacturing Engineering, Ocean Engineering, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/81d20b85e1a820e4fc3ea97bf25504d695b266cb

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In Industrial and Manufacturing Engineering

In Ocean Engineering

In Organizational Behavior and Human Resource Management

Citations in the corpus

Optimization models in emergency logistics: A literature review (2012, background): “Note that although Yi and Özdamar [73] initially consider vehicles as commodities, they later use a set of equations to extract transportation plans.”
Stochastic Optimization for Natural Disaster Asset Prepositioning (2010, background): “More recently, Yi and Ozdamar (2007) extend that model as a mixed-integer, multicommodity network ﬂow problem focused on vehicle trafﬁc to coordinate the evacuation and support after the disaster.”
Evacuation planning using multiobjective evolutionary optimization approach (2009, background): “Yi and Özdamar (2007) proposed a dynamic logistics coordination model for evacuation and support in disaster response activities.”
Models, solutions and enabling technologies in humanitarian logistics (2015, methodology): “Yi and Özdamar (2007) solve this model using a two-stage Ant Colony Optimization heuristic where the ants build routes in the ﬁrst stage and commodity ﬂows are optimized in the next by solving the maximum ﬂow problem.”
Models for Relief Routing: Equity, Efficiency and Efficacy (2011, background): “…distribution consider a number of different objectives, including minimizing logistics costs (e.g., Haghani & Oh, 1996), minimizing the amount of unsatisfied demand (e.g., Ozdamar et al., 2004), and minimizing service completion or delays (e.g., Barbarosoglu et al., 2002; Yi & Ozdamar, 2007).”
A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty (2011, background): “Some research work on victim evacuation can be found in Bakuli and Smith (1996), Barbarosoglu et al. (2002), Han et al. (2006), Yi and Ozdamar (2007) , Yi and Kumar (2007), Regnier (2008), Stepanov and Smith (2009) and Saadatseresht et al. (2009).”