We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Prepositioning inventory for disasters: a robust and equitable model.
- Authors
Velasquez, German A.; Mayorga, Maria E.; Cruz, Eduardo A. R.
- Abstract
Disaster responses are usually joint efforts between agencies of different sizes and specialties. Improving disaster response can be achieved by prepositioning relief items in the appropriate amount and at the appropriate locations. In this paper, we develop a multi-agency prepositioning model under uncertainty. In particular, we develop a model in which the prepositioning strategy developed by a major aid agency or a local government considers sharing resources with other aid agencies. The proposed model considers multiple relief item types, storage capacity, budgetary and equity constraints while integrating supplier selection, inventory and facility location decisions. Uncertainty is modeled using robust optimization. We provide a deterministic model as well as its robust counterpart where demand and link disruptions are considered uncertain. In addition, a heuristic approach for solving the uncapacitated deterministic version of the proposed model is provided. In order to evaluate the proposed model and heuristic, two computational experiments are presented. In the first experiment, we assess the quality of the robust solutions by simulating a number of realizations. In the second experiment, we test the performance of the heuristic compared to the optimal policy.
- Subjects
EMERGENCY management; ROBUST optimization; INVENTORIES; LOCAL government
- Publication
OR Spectrum, 2019, Vol 41, Issue 3, p757
- ISSN
0171-6468
- Publication type
Article
- DOI
10.1007/s00291-019-00554-z