On preparedness resource allocation planning for natural disaster relief under endogenous uncertainty with time-consistent risk-averse management
| Autor: | Laureano F. Escudero, M. Araceli Garín, Juan F. Monge, Aitziber Unzueta |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Measure (data warehouse) 021103 operations research General Computer Science Operations research Computer science 05 social sciences 0211 other engineering and technologies Stochastic dominance 02 engineering and technology Management Science and Operations Research Dual (category theory) Procurement Modeling and Simulation Preparedness 0502 economics and business Resource allocation Natural disaster Set (psychology) |
| Zdroj: | Computers & Operations Research. 98:84-102 |
| ISSN: | 0305-0548 |
| DOI: | 10.1016/j.cor.2018.05.010 |
| Popis: | A preparedness resource allocation model and an algorithmic approach are presented for a three-stage stochastic problem for managing natural disaster mitigation. That preparedness consists of warehouse location and capacity assignment and the procurement of commodities on the one hand and refurbishing the rescue network infrastructure on the other. Two types of uncertainty are considered: exogenous uncertainty which is due to the lack of full knowledge about the probability and intensity of the disaster for each focal point in a given network; and endogenous uncertainty which is based on the decision-maker’s investment to obtain greater accuracy in regard to the occurrence of the disaster and to reinforcing the network infrastructure. A stochastic mixed 0-1 bilinear optimization model is presented. Additionally, a time-consistent stochastic dominance-based risk-averse measure for a set of profiles in a multifunction setting is introduced. Both types of elements imply large-sized problems, so some kind of decomposition algorithmic should be used. Based on the special features of the three-stage problem subject of this work, we introduce the Cluster Dual Descent Algorithm for obtaining feasible solutions based on duality theory. Computational results are reported for a well-known real-life case by comparing the performance of the models based on the alternatives given by the risk-neutral and risk-averse versions jointly with exogenous and endogenous uncertainty. |
| Databáze: | OpenAIRE |
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