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Analyzing Launch Operations using the Spaceport Throughput Analysis Resource (STAR)NASA’s Kennedy Space Center (KSC) and Cape CanaveralSpace Force Station (CCSFS) are the world’s preeminent multi-user spaceport, providing facilities and launch capabilities to the agency, NASA’s commercial partners, and other government agencies. KSC works to ensure an environment in which NASA’s programs and other users can safely and effectively carry out their operations. Approximately 100 launches are expected to take place in 2024.

KSC needs to meet the needs of customers who request launches based on their own schedules, but who may not be aware of KSC-wide resource limitations and external constraints on launch operations. KSC-wide resources include telecommunications, range tracking, commodities such as Helium and Nitrogen, and special equipment needed to support launches. External constraints include seasonal launch operations. Since space vehicles are complex and launch operations are uncertain, unexpected events can also cause delays in operations. The Spaceport Throughput AnalysisResource (STAR) assesses whether a specific set of pro-posed launches and associated activities can be performed given the resources KSC currently has available, and external constraints imposed on KSC operations. STAR integrates short-horizon scheduling and simulation of launches using a monte-carlo approach driven by configurable probabilities of different classes of event outcomes, including de-lays and worst-case use of resources. The resulting analyses inform stakeholders of key constraints preventing customers from being able to perform their missions as desired, and give insight into how to improve spaceport throughput.

The rest of the paper is organized as follows. In 2 we de-scribe the problem STAR is intended to solve. In Section3 we formally describe the scheduling problem ingredients. In Section 4 we describe how manifests are simulated. InSection 5 we describe the constraints problem that is solved when rescheduling. In Section 6 we describe what information is recorded during manifest simulation in order to evaluate delays. In Section 7 we describe the specific problem solved for KSC. In Section 8 we describe the challenges of knowledge engineering for STAR.
Document ID
20240003154
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Richard Levinson
(Wyle (United States) El Segundo, California, United States)
Jeffrey Brink
(Kennedy Space Center Merritt Island, Florida, United States)
Jeremy Frank
(Ames Research Center Mountain View, United States)
Date Acquired
March 14, 2024
Subject Category
Launch Vehicles and Launch Operations
Cybernetics, Artificial Intelligence and Robotics
Meeting Information
Meeting: 34th International Conference on Automated Planning and Scheduling (ICAPS)
Location: Banff
Country: CA
Start Date: June 1, 2024
End Date: June 6, 2024
Sponsors: Association for the Advancement of Artificial Intelligence
Funding Number(s)
WBS: 089407.01.21.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Planning Scheduling Analysis
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