Massachusetts Institute of Technology
Air Force Crew Scheduling: An Integer Optimization Approach
Abstract
dc:description.abstractAir 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)
- Licence dc:rights.uri
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