| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 987124 | Socio-Economic Planning Sciences | 2012 | 15 Pages |
Abstract
⺠This paper addresses pre-positioning emergency supplies for hurricane relief. âºÂ The perspective is a commercial manufacturer who serves multiple retail locations. âºÂ A stochastic programming model and heuristic solution methodology are proposed. âºÂ Computational testing involves scenarios generated from real-world hurricane data. âºÂ Results indicate that pre-positioning is more cost effective than current practice.
Related Topics
Social Sciences and Humanities
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Strategy and Management
Authors
Emmett J. Jr., Kandace N. Ballard, Chang H. Song,