Department of Defense in the war on drugs : an optimization model for counter-narcotics assets PDF
Preview Department of Defense in the war on drugs : an optimization model for counter-narcotics assets
DUDLEY KNOX LIBRARY NAVAL POSTGRADUATE SCHOOI MONitKfcY CA %&sm j-d101 NAVAL POSTGRADUATE SCHOOL Monterey, California THESIS DEPARTMENT OF DEFENSE IN THE WAR ON DRUGS: AN OPTIMIZATION MODEL FOR COUNTER-NARCOTICS ASSETS by JamesJ. Henry IV March, 1992 Thesis Advisor: James C. Hoffman, MAJ, USA Approved for public release; distribution is unlimited UNCLASSIFIED SECURITYCLASSIFICATIONOFTHISPAGE REPORT DOCUMENTATION PAGE la REPORTSECURITYCLASSIFICATION 1b RESTRICTIVE MARKINGS Unclassified 2a.SECURITYCLASSIFICATIONAUTHORITY 3 DISTRIBUTION/AVAILABILITYOF REPORT Approvedfor publicrelease;distributionisunlimited 2b DECLASSIFICATION/DOWNGRADINGSCHEDULE 4 PERFORMINGORGANIZATIONREPORTNUMBER(S) 5 MONITORINGORGANIZATIONREPORTNUMBER(S) 6a NAMEOFPERFORMINGORGANIZATION 6b OFFICE SYMBOL 7a NAME OF MONITORINGORGANIZATION NavalPostgraduateSchool (//applicable) NavalPostgraduateSchool OR 6c ADDRESS(Dry,State,andZIPCode) 7b ADDRESS(C/ty,State,andZIPCode) Monterey,CA 93943 5000 Monterey,CA 93943 5000 8a NAME OFFUNDING/SPONSORING 8b OFFICE SYMBOL 9 PROCUREMENTINSTRUMENTIDENTIFICATION NUMBER ORGANIZATION (Ifapplicable) 8c ADDRESS(C/ry, State,andZIPCode) 10 SOURCE OFFUNDING NUMBERS ProgramtlemenlNo ProjectN<_ 11 TITLE (IncludeSecurityClassification) DEPARTMENTOFDEFENSEINTHEWARON DRUGS:ANOFFIMIZATION MODELFORCOUNTER NARCOTICSASSETS 12 PERSONALAUTHOR(S) HENRY IV,JamesJ. 13a TYPEOFREPORT 13b TIME COVERED 14 DATE OF REPORT(year,month,day) 15 PAGECOUNT Master'sThesis From To 1992 March 85 16 SUPPLEMENTARY NOTATION Theviewsexpressed inthisthesisarethoseoftheauthoranddonotreflecttheofficial policyorpositionoftheDepartmentofDelenseorthe U.S. Government. 17 COSATICODES 18 SUBJECTTERMS(continueonreverseifnecessaryandidentifybyblock number) FIELD GROUP SUBGROUP Simulatedannealing,Optimization,DrugInterdiction,Counter-narcotics.<locaine,Drugs, StochasticNetwork,Military 19 ABSTRACT(continueonreverseifnecessaryandidentifybyblocknumber) ThisstudyexplorestheoptimizationmethodofsimulatedannealingIbrpotentialuseinananalytictoolforcounter-narcoticsanalysis Amodelisdeveloped,employingRANDCorporation'sSimulationofAdaptiveResponsemodelasanobjectivefunctionevaluator,which optimizesinterdictionassetlocationsrelativetoasamplesmugglingnetworkintheCaribbeanregion. Inadditiontoassetlocation optimizationtheresponseofthemodeltochangingnumbersofassetsisalsotested. Resultsindicatethatthismethodologyhaspotentialfor useinthecounter-narcoticsprogram,andperhapsothernetworkinterdictionapplications.Furtherresearchandtestingarerecommended. Militarydruginterdictionandcocainesmugglingarediscussed. 20 DISTRIBUTION/AVAILABILITYOFABSTRACT 21 ABSTRACTSECURITYCLASSIFICATION Fl UNCLASSIflED/UNllMinD 1*1 SAMlASHtPOKI II Unclassified 22a NAMEOFRESPONSIBLE INDIVIDUAL 22b TELEPHONE (IncludeAreacode) 22c OFFICE SYMBOL JamesC.Hoffman,MAJ,USA 4086463086 or;iii DD FORM 1473,84 MAR 83 APReditionmaybeuseduntilexhausted SECURITYCLASSIFICATIONOF THIS PAGE Allothereditionsareobsolete Unclassified Approved for public release; distribution is unlimited. Department of Defense in the War on Drugs: An Optimization Model for Counter-Narcotics Assets by James HHeennrryy IV J. 7/ Lieutenant, United States Navy B.S., University of Notre Dame 1984 , Submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN OPERATIONS RESEARCH from the NAVAL POSTGRADUATE SCHOOL March 1992 ABSTRACT This study explores the optimization method of simulated annealing for use in an analytic tool for counter-narcotics analysis. A model is developed, employing RAND Corporation's Simulation of Adaptive Response model as an objective function evaluator, which optimizes interdiction asset locations relative to a sample smuggling network in the Caribbean region. In addition to asset location optimization, the response of the model to changing numbers of assets is also tested. Results indicate that this methodology has potential for use in the counter-narcotics program, and perhaps other network interdiction applications. Further research and testing are recommended. Military drug interdiction and the smuggling threat are discussed. in 'f fao'A, L- THESIS DISCLAIMER The reader is cautioned that computer programs developed in this research may not have been exercised for all cases of interest. While every effort has been made, within the time available, to ensure that the programs are free ofcomputational and logic errors, they cannot be considered validated. Any application of these programs without additional verification is at the risk of the user. IV
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