Force Allocation Modeling in Support of Contingency Operations - Demonstration Study.
Abstract
Resource allocation issues beyond those at the operational level have never been an issue with regards to operations. Enough redundant capabilities have existed within the services that executing a contingency operation was not critically important in terms of resource allocation. However, the current resource constrained environment coupled with the increased commitment to contingency operations no longer allow long term strategic planners to ignore the effects on the services ability to execute the National Military Strategy. This research contained herein is focused on developing a methodology to incorporate contingency operations into the force design process. The research was solely a proof-of-principal demonstration. As a first step in developing a resource allocation methodology, a framework was developed for assessing the effectiveness of units for both warfighting and nonwarfighting missions. Using this framework, theory for a deterministic mathematical program that could be solved for multiple scenarios was developed. The methodology presented herein is different from other mathematical programming approached for force allocation in that 1) the hierarchical scenario structure for assessing a unit's effectiveness and 2) the mathematical programming technique produces an optimal solution for more than one scenario which can be composed of a numerous missions. Lastly, a proof-of proof demonstration is presented to show the utility of the methodology. Based on unclassified information, threat scenarios were developed for year 2005 (2 project objective memorandum or POM cycles). A demonstration study was conducted at the division, carrier battle group, and air force wing level of resolution. This level of resolution is too gross for a meaningful study; however, the results are important to show the utility of the approach.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1997
- Accession Number
- ADA345939
Entities
People
- David F. Davis
- Jeffrey B. Goldberg
- John V. Farr
- Stephen R. Robinson
Organizations
- United States Military Academy