Reference : A two-stage stochastic programming framework for transportation planning in disaster ...
Scientific congresses and symposiums : Unpublished conference
Business & economic sciences : Production, distribution & supply chain management
http://hdl.handle.net/2268/121118
A two-stage stochastic programming framework for transportation planning in disaster response
English
Barbarosoglu, Gulay [Boğaziçi University > Industrial Engineering Department > > >]
Arda, Yasemin mailto [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > UER Opérations : Supply Chain Management >]
8-Jul-2002
No
No
International
IFORS 02, 16th Triennial Conference of International Federation of Operational Research Societies
8-12 July 2002
Edinburg
Scotland
[en] stochastic linear programming ; urban studies ; scenario analysis
[en] This study proposes a two-stage stochastic programming model to plan the transportation of vital first-aid commodities to disaster-affected areas during emergency response. A multi-commodity multi-modal network flow formulation is developed to describe the flow of material over an urban transportation network. Since it is difficult to predict the timing and magnitude of any disaster and its impact on the urban system, resource mobilization is treated in a random manner, and the resource requirements are represented as random variables. Furthermore, uncertainty arising from the vulnerability of the transportation system leads to random arc capacities and supply amounts. Randomness is represented by a finite sample of scenarios for capacity, supply and demand triplet. The two stages are defined with respect to information asymmetry which discloses uncertainty during the progress of the response. The approach is validated by quantifying the expected value of perfect and stochastic information in problem instances generated out of actual data.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/121118

There is no file associated with this reference.

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.