Accession Number : ADA326737

Title :   Reduction of a Large-Scale Global Mobility Optimization Model Through Aggregation.

Descriptive Note : Master's thesis,

Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s) : Fuller II, David F.

PDF Url : ADA326737

Report Date : DEC 1996

Pagination or Media Count : 70

Abstract : This Thesis develops a two-stage aggregation disaggregation model based on THRUPUT2 (Morton, Rosenthal and Lim, 1995), a mobility optimization model used to analyze the ability of the Armed Forces of the United States to conduct airlifts in support of major military operations. For a given fleet of aircraft, a given network of routes, and a given set of unit movement requirements over time, THRUPUT2 schedules airlift to minimize late deliveries and non-deliveries. The linear programming model presented is based on THRUPUT2, but aggregates those units which share the same origin-destination pair and have overlapping time periods and therefore creates a smaller linear program. This reduction in size will consequently decrease the time needed to solve, which is desirable because repeated runs of this model are necessary to generate analytic insight and develop recommendations. The thesis further develops a disaggregation model which will remove the aggregations of the first, and therefore offer resolution similar to that of THRUPUT2.

Descriptors :   *OPTIMIZATION, *LINEAR PROGRAMMING, *AIR LOGISTICS SUPPORT, *AIRLIFT OPERATIONS, MATHEMATICAL MODELS, MILITARY REQUIREMENTS, AIRCRAFT MAINTENANCE, LOGISTICS MANAGEMENT, THESES, SCHEDULING, MILITARY TRANSPORTATION.

Subject Categories : Logistics, Military Facilities and Supplies
      Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE