CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12542 > Article
Presentation + Paper
15 June 2023 Analyzing the maximum on ground as an online with partial information optimization problem
Gennady Staskevich, Joseph Skufca
Author Affiliations +
Proceedings Volume 12542, Disruptive Technologies in Information Sciences VII; 1254203 (2023) https://doi.org/10.1117/12.2662247
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States
Abstract
In this paper, we systematically investigate the Maximum-On-Ground (MOG) problem space, and explore candidate solutions. The MOG optimization refers to the management of the transport aircraft in-and-around an airfield. Effective and efficient daily MOG management enables the U.S. Air Force (USAF) Air Mobility Command (AMC) to rapidly deploy and sustain the equipment, and personnel anywhere in the world. However, the seemingly solved problem can quickly grow out of hand when the number of interruptions exceed past a certain point; this due to the combinatorial nature of the scheduling problem, where the order, and the mission dependencies matter.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Gennady Staskevich and Joseph Skufca "Analyzing the maximum on ground as an online with partial information optimization problem", Proc. SPIE 12542, Disruptive Technologies in Information Sciences VII, 1254203 (15 June 2023); https://doi.org/10.1117/12.2662247
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 16 PAGES + PRESENTATION
DOWNLOAD PAPER SAVE TO MY LIBRARY
WATCH
PRESENTATION
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Machine learning
Data modeling
Computer simulations
Mathematical optimization
Neural networks
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top