Optimal Deployment and Employment of Naval Air Connectors
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Authors
Kress, Moshe
Salmeron, Javier
Reich, Daniel
Subjects
Fleet Logistics Support Wing
FLSW
Navy Air Logistics Office
NALO
Navy Unique Fleet Essential Airlift
NUFEA
OPNAV N98
aircraft allocation
C-130T
C-40A
mixed-integer optimization models
FLSW
Navy Air Logistics Office
NALO
Navy Unique Fleet Essential Airlift
NUFEA
OPNAV N98
aircraft allocation
C-130T
C-40A
mixed-integer optimization models
Advisors
Date of Issue
2025-05-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The Navy Air Logistics Office (NALO) is tasked with supporting fleet operations and readiness. They accomplish this through planning air cargo and passenger transport missions that fulfill demands around the world. These missions are executed by the Fleet Logistics Support Wing (FLSW), which is a U.S. Navy Reserve wing stationed at Naval Air Station Joint Reserve Base Fort Worth, Texas. FSLW comprises 11 transportation squadrons spread over 10 bases in different locations in the continental U.S. and Hawaii. Based on aircargo demand data provided by the sponsor, we have analyzed the FLSW’s current operational practices and squadron allocation, with the objective of identifying potential improvements in operations and deployment (i.e., re-allocation). We have addressed two main questions: (1) Given the current deployment of aircraft in bases, can we improve the employment of aircraft, that is, the assignment of aircraft from bases to missions? (2) Can we improve the deployment of aircraft, that is, the allocation of aircraft to bases? We have developed two variants of a mixed-integer program (MIP) that address these two questions. One variant is called employment model, and the other is called deployment model. The employment model, which optimizes assignments of aircraft to missions, is run twice: once with respect to the current FLSW deployment of aircraft, and once with respect to a redeployment of aircraft in bases, which results from running the deployment optimization model. With these models, we identify inefficiencies in the current operations and propose directions for improvement.
Type
Technical Report
Description
Series/Report No
Department
Organization
Identifiers
NPS Report Number
NPS-OR-25-003
Sponsors
Naval Postgraduate School, Naval Research Program
OPNAV N98 – Air Warfare
OPNAV N98 – Air Warfare
Funding
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
39 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This 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.