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Massachusetts Institute of Technology

Air Force Crew Scheduling: An Integer Optimization Approach

Abstract

dc:description.abstract

Air Force flight, training, and crew scheduling is a labor-intensive and largely manual process across all flying squadrons. Complex training requirements and dependencies, operational constraints, numerous qualifications, and unforeseen missions confound the schedule development process. We develop multiple optimization formulations for the Air Force crew scheduling problem. Furthermore, we present multiple objective functions aiming at mimicking reality to account for pilot qualification upgrades and their ability to stay current and mission ready. To compare candidate schedules, we identify numerous metrics that show the impact of the different objective functions. Finally, we briefly discuss how to incorporate scheduler preferences and focus on creating human-interpretable schedules so that the scheduler can select the most desired schedule for the squadrons' current needs.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Operations Research Center
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Koch, Matthew J.
Advisors dc:contributor.advisor
  • Balakrishnan, Hamsa
  • Chang, Allison

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/139080
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/139080

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Koch, Matthew J.. Air Force Crew Scheduling: An Integer Optimization Approach. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/139080