Optimal satellite constellation spare strategy using multi-echelon inventory control with stochastic demand and lead times

Jakob, Pauline C.

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https://hdl.handle.net/2142/101221 Copy

Description

Title

Optimal satellite constellation spare strategy using multi-echelon inventory control with stochastic demand and lead times

Author(s)

Jakob, Pauline C.

Issue Date

2018-04-25

Director of Research (if dissertation) or Advisor (if thesis)

Ho, Koki

Department of Study

Aerospace Engineering

Discipline

Aerospace Engineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Satellite constellation
• Optimization
• Spare strategy
• Multi-echelon inventory control
• Satellite systems

Abstract

The recent growing trend to develop large-scale satellite constellations (i.e., megaconstellation) with low-cost small satellites has brought the need for an efficient and scalable maintenance strategy decision plan. Traditional spare strategies for satellite constellations cannot handle these mega-constellations due to their limited scalability in number of satellites and/or their lack of consideration of the relatively low reliability of small satellites. This research proposes a novel spare strategy using an inventory management approach. The model considers a set of parking orbits at a lower altitude than the constellation for spare storage, and model satellite constellation spare strategy problem using a multi-echelon (s,Q)-type spare inventory problem, viewing Earth's ground as a supplier, parking orbits as warehouses, and in-plane spare stocks as retailers. This approach is unique in that the parking orbits (warehouses) drift away from the orbital planes over time due to orbital mechanics effects, and the in-plane spare stocks (retailers) would receive the resupply from the closest (i.e., minimum waiting time) available warehouse at the time of delivery. The parking orbits (warehouse) are also resupplied from the ground (supplier) with stochastic lead time caused by the order processing and launch opportunities, leveraging the cost saving effects by launching many satellites in one rocket (i.e., batch launch discount). The proposed model is validated against simulations using Latin Hypercube Sampling, and an optimization formulation based on the proposed model is introduced to identify spare strategy, comprising the parking orbits characteristics and all locations policies, to minimize the maintenance cost of the system given performance requirements. The proposed model and optimization method are applied to a real-world case study of satellite mega-constellation to demonstrate their value.

Graduation Semester

2018-05

Type of Resource

text

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http://hdl.handle.net/2142/101221

Copyright and License Information

Copyright 2018 by Pauline C. Jakob.

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