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Title: Designing seasonal initial attack resource deployment and dispatch rules using a two-stage stochastic programming procedure
Author: Wei, Yu; Bevers, Michael; Belval, Erin J.;
Source: Forest Science. 61(6): 1021-1032.
Publication Series: Scientific Journal (JRNL)
Description: Initial attack dispatch rules can help shorten fire suppression response times by providing easy-to-follow recommendations based on fire weather, discovery time, location, and other factors that may influence fire behavior and the appropriate response. A new procedure is combined with a stochastic programming model and tested in this study for designing initial attack dispatch rules integrated with development of seasonal suppression resource deployment decisions to support initial attack. Historical fires are spatially simulated according to historical weather and actual fire locations to provide fire samples that capture the stochastic nature of this problem. Constraints are added to a two-stage stochastic programming resource deployment and dispatch model to enforce a requirement that the same combination of initial attack resources be dispatched to all fires in any given dispatch category. A post-optimization procedure is used to check the resulting solution, potentially leading to refinements of candidate solutions before a model solution is accepted. Our test results indicate that not accounting for the use of standard response dispatch rules where they are typically implemented could lead planners to underestimate initial attack resource requirements and costs.
Keywords: suppression, dispatch rule, stochastic programming, two-stage model
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Wei, Yu; Bevers, Michael; Belval, Erin J. 2015. Designing seasonal initial attack resource deployment and dispatch rules using a two-stage stochastic programming procedure. Forest Science. 61(6): 1021-1032.
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