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dc.contributor.advisorKoyak, Robert A.
dc.contributor.advisorSalmeron, Javier
dc.contributor.authorScholz, Zachary T.
dc.date.accessioned2019-08-08T23:50:11Z
dc.date.available2019-08-08T23:50:11Z
dc.date.issued2019-06
dc.identifier.urihttp://hdl.handle.net/10945/62835
dc.descriptionApproved for public release. distribution is unlimiteden_US
dc.description.abstractDuring December 2017, the Los Angeles County Fire Department (LACoFD) responded to an unprecedented number of wildland fires spanning thousands of square miles within the county. While most of the fires were successfully contained, several caused widespread catastrophic damage. During red flag (high-risk) days, LACoFD currently uses augmented staffing, either by moving on-duty equipment and personnel, or mobilizing those who are off duty to reduce response time. Operational duty chiefs make these augmentation decisions based on current weather conditions and experience. This thesis develops regression models to estimate the probability and potential burned acreage of wildland fires in each of 21 sub-areas in the county. Then, a budget-constrained optimization model reassigns resources between sub-areas in order to minimize expected population displacement due to wildland fire. A comparison of these automated techniques with those manual decisions made during December 2017 reveals significant improvements to augmented staffing that can be made at a lower cost.en_US
dc.description.sponsorshipOffice of Naval Researchen_US
dc.description.urihttp://archive.org/details/optimizingresour1094562835
dc.publisherMonterey, CA; Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
dc.titleOPTIMIZING RESOURCE AUGMENTATION FOR WILDLAND FIRESen_US
dc.typeThesisen_US
dc.contributor.secondreaderBrown, Gerald G.
dc.contributor.departmentOperations Research (OR)
dc.subject.authorfire fightersen_US
dc.subject.authorfire managementen_US
dc.subject.authoroptimizationen_US
dc.subject.authormodelingen_US
dc.subject.authorburn indexen_US
dc.subject.authoraugmentationen_US
dc.subject.authorreturn on investmenten_US
dc.subject.authorpre-deploymenten_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceEnsign, United States Navyen_US
etd.thesisdegree.nameMaster of Science in Applied Science (Operations Research)en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineApplied Science (Operations Research)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.identifier.thesisid31925


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