EURO 2025 Leeds
Abstract Submission

2141. Operations Research for Sustainable Space Operations: Optimizing On-Orbit Servicing Under Uncertainty

Invited abstract in session TB-39: Sustainability & Infrastructure Systems, stream Sustainable & Resilient Systems and Infrastructures.

Tuesday, 10:30-12:00
Room: Newlyn LG.01

Authors (first author is the speaker)

1. Adam ABDIN
Industrial Engineering Research Department, CentraleSupélec, University of Paris-Saclay

Abstract

The rapid expansion of the global space industry—driven by commercialization and the rise of mega-constellations—has introduced new operational challenges for managing space assets. Emerging applications such as space logistics, on-orbit servicing (OOS), and satellite life extension require novel frameworks to optimize high-risk, high-cost operations. This provides new opportunities for operations research (OR) to adapt rigorous methodologies from mathematical programming, stochastic optimization, and combinatorial scheduling to address unique space mission complexities, including orbital mechanics, strict tolerances, and harsh environmental conditions. We illustrate OR’s role in enhancing sustainability and resilience of space infrastructures, particularly through OOS logistics, where servicing vehicles (OSVs) refuel, inspect, and maintain satellites. Such operations demand multi-vehicle routing under dynamic orbital constraints and long-term fleet management. As a case study, we introduce a two-stage stochastic programming model optimizing OSV fleet deployment and operations. Strategic decisions (fleet size, depot locations) are made under budget and coverage constraints, while operational uncertainties—client demand, fuel usage, and orbital maneuvers—are managed through scenario-based routing and task scheduling. Our approach demonstrates OR’s capability to deliver robust, cost-effective solutions that improve the resilience and sustainability of space systems

Keywords

Status: accepted

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