A stochastic programming approach for floods emergency logistics

•A stochastic optimization model for floods events with unsatisfied demand is designed.•Stochastic demand for emergency supplies is incorporated and must be satisfied to a level of service.•Flood events are simulated through a stochastic process with spatio-temporal correlations.•Objective combines...

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Vydáno v:	Transportation research. Part E, Logistics and transportation review Ročník 75; s. 18 - 31
Hlavní autoři:	Garrido, Rodrigo A., Lamas, Patricio, Pino, Francisco J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Exeter Elsevier India Pvt Ltd 01.03.2015 Elsevier Sequoia S.A
Témata:	Chance constrained programming Decision making Decision making models Demand Emergency logistics Emergency vehicles Floods Inventory management Logistics Mathematical models Mathematical programming Sample average approximation Stochastic models Stochastic programming Stockpiling Studies Transportation Transportation problem (Operations research) Emergency logistics Chance constrained programming Stochastic programming Sample average approximation
ISSN:	1366-5545, 1878-5794
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Abstract	•A stochastic optimization model for floods events with unsatisfied demand is designed.•Stochastic demand for emergency supplies is incorporated and must be satisfied to a level of service.•Flood events are simulated through a stochastic process with spatio-temporal correlations.•Objective combines distribution time and cost. Solution is found by sample average approximation. 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.
AbstractList	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. •A stochastic optimization model for floods events with unsatisfied demand is designed.•Stochastic demand for emergency supplies is incorporated and must be satisfied to a level of service.•Flood events are simulated through a stochastic process with spatio-temporal correlations.•Objective combines distribution time and cost. Solution is found by sample average approximation. 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.
Author	Pino, Francisco J. Lamas, Patricio Garrido, Rodrigo A.
Author_xml	– sequence: 1 givenname: Rodrigo A. surname: Garrido fullname: Garrido, Rodrigo A. organization: Faculty of Engineering, Universidad Diego Portales, Chile – sequence: 2 givenname: Patricio surname: Lamas fullname: Lamas, Patricio organization: PhD student at Research Centre for Operations Management, University of Leuven, Belgium – sequence: 3 givenname: Francisco J. surname: Pino fullname: Pino, Francisco J. organization: Transport Engineering Consultant at Steer Davies Gleave, Chile
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Snippet	•A stochastic optimization model for floods events with unsatisfied demand is designed.•Stochastic demand for emergency supplies is incorporated and must be... 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...
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SubjectTerms	Chance constrained programming Decision making Decision making models Demand Emergency logistics Emergency vehicles Floods Inventory management Logistics Mathematical models Mathematical programming Sample average approximation Stochastic models Stochastic programming Stockpiling Studies Transportation Transportation problem (Operations research)
Title	A stochastic programming approach for floods emergency logistics
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