A stochastic programming approach for floods emergency logistics

Rodrigo A. Garrido, Patricio Lamas and Francisco J. Pino

Transportation Research Part E: Logistics and Transportation Review, 2015, vol. 75, issue C, 18-31

Abstract: This article presents a model to assist decision makers in the logistics of a flood emergency. The model attempts to optimize inventory levels for emergency supplies as well as vehicles’ availability, in order to deliver enough supplies to satisfy demands with a given probability. A spatio-temporal stochastic process represents the flood occurrence. The model is approximately solved with sample average approximation. The article presents a method to quantify the impact of the various intervening logistics parameters. An example is provided and a sensitivity analysis is performed. The studied example shows large differences between the impacts of logistics parameters such as number of products, number of periods, inventory capacity and degree of demand fulfillment on the logistics cost and time. This methodology emerges as a valuable tool to help decision makers to allocate resources both before and after a flood occurs, with the aim of minimizing the undesirable effects of such events.

Keywords: Emergency logistics; Stochastic programming; Sample average approximation; Chance constrained programming (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (25)

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DOI: 10.1016/j.tre.2014.12.002

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