Decision Support for Aircraft and Munitions Procurement

Might, Robert J.

doi:10.1287/inte.17.5.55

Cited by 7 publications

(5 citation statements)

References 1 publication

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“…For more information, see Brown, Washbum, and Coulter [1994], Jackson [1989], Might [1987], or Yost [1995].…”

Section: The Existing Models: Heavy Attack Tam and Mixmastermentioning

confidence: 99%

The Time Strike Munitions Optimization Model.

Yost¹

1996

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REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188), Washington, DC 20503. Blank) 2. REPORT DATE January 1996 AGENCY USE ONLY (Leave REPORT TYPE AND DATES COVERED Technical Report 4. TITLE AND SUBTITLE THE TIME STRIKE MUNITIONS OPTIMIZATION MODEL AUTHOR(S)Yost, Kirk A. FUNDING NUMBERS PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Naval SUPPLEMENTARY NOTESThe views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government. 12a. DISTRIBUTION / AVAILABILITY STATEMENTApproved for public release, distribution is unlimited 12b. DISTRIBUTION CODE ABSTRACT (Maximum 200 words)The TIME STRIKE munitions optimization model was introduced in 1995 for use by various US Air Force agencies to develop requirements for conventional munitions, to refine operational plans based on the availability of different mixes of munitions, and to assess the effects of procuring different types and quantities of munitions. TIME STRIKE was developed under the sponsorship of HQ US Air Force, the Air Force Studies and Analyses Agency, and HQ Air Combat Command to consolidate and extend three existing munitions optimization models. The report covers both the formulation of the new largescale linear programming model and extensions to the existing models that were included in TIME STRIKE. SUBJECT TERMSMunitions, Optimization, Linear Programming, Campaign Models, USAF The USAF Office of Aerospace Studies (OAS), working under the direction of an inter-agency working group, produced a new model called TIME STRIKE that offers a menu of user-selectable objectives and constraints. TIME STRIKE isn't a single model, but instead is a family of optimizations with a common core. In each instance, TIME STRIKE decides how best to allocate aircraft sorties and weapons to targets in a particular scenario, subject to various budget and availability constraints. However, TIME STRIKE differs from its three ancestors in eight major areas:• New objective functions that are oriented towards campaign goals have been added;• Sortie and target kill accounting have been changed;• Time periods are treated explicitly;• Battle-damage assessment (BDA) and target regeneration have been revised;• Weather effects have been reformulated;• Operationally-oriented limitations such as minimum altitudes for weapons deliver...

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“…For more information, see Brown, Washbum, and Coulter [1994], Jackson [1989], Might [1987], or Yost [1995].…”

Section: The Existing Models: Heavy Attack Tam and Mixmastermentioning

confidence: 99%

The Time Strike Munitions Optimization Model.

Yost¹

1996

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“…as a replacement for HEAVY ATTACK (Might [1987], Jackson [1989]). TAM is highly detailed, allocating sorties by aircraft, weapon, target type, target distance, weather state, and time period.…”

Section: The Existing Models: Heavy Attack Tam Mixmaster and Ctemmentioning

confidence: 99%

Consolidating the USAF's Conventional Munitions Models

Yost¹

1996

mor

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“…Other factors considered are weather and length of the conflict. See Might ( 1987) and Jackson ( 1989).…”

Section: Computational Experiencementioning

confidence: 99%

Dynamic factorization in large-scale optimization

Brown

Olson

1994

Mathematical Programming

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Factorization of linear programming (LP) models enables a large portion of the LP tableau to be represented implicitly and generated from the remainingexplicit part. Dynamic factorization admits algebraicelementswhichchangein dimensionduring the courseof solution.A unifyingmathematical framework for dynamic row factorization is presented with three algorithms which derive from differentLP modelrowstructures: generalizedupper boundrows, pure networkrows, and generalized networkTOWS. Eachof these structuresis a generalization of its predecessors, and each corresponding algorithm exhibitsjust enough additional richness to accommodate the structure at hand within the unifledframework. Implementation and computational results arepresentedfor a varietyof real-world models. Theseresultssuggestthateach of these algorithmsis superiorto the traditional, non-factorized approach, with the degreeof improvement dependingupon thesize and qualityof the row factorization identified.

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Decision Support for Aircraft and Munitions Procurement

Cited by 7 publications

References 1 publication

The Time Strike Munitions Optimization Model.

The Time Strike Munitions Optimization Model.

Consolidating the USAF's Conventional Munitions Models

Dynamic factorization in large-scale optimization

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