서지주요정보
Optimal launch manifesting for space freight operations = 우주 화물 수송을 위한 최적 발사체 운용 및 계획
서명 / 저자 Optimal launch manifesting for space freight operations = 우주 화물 수송을 위한 최적 발사체 운용 및 계획 / Junsub Hwang.
발행사항 [대전 : 한국과학기술원, 2025].
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8043575

소장위치/청구기호

학술문화관(도서관)2층 학위논문

DAE 25015

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This paper proposes a novel framework to optimize a launch vehicle manifesting plan for small satellites from the perspective of a space freight forwarder. The forwarder in space logistics coordinates individual shipment orders from the launch customers and launch service providers like a freight forwarder in ground logistics does. An optimal launch manifesting problem is formulated as a variant of the vehicle routing problem involving the decisions on carriers, launch strategies (dedicated or multi-payload), launch dates, and satellite deployment sequence. A solution procedure based on the column generation method is proposed to address the challenges associated with the large-scale combinatorial optimization problem. A case study demonstrates the effectiveness of the proposed framework and solution procedure.

본 논문은 우주 화물 운송 주선인의 관점에서 소형 위성 발사의 효율성을 극대화하기 위한 최적 발사체 운용 계획을 수립하는 새로운 프레임워크를 제안한다. 우주 물류에서 화물 운송 주선인은 지상 물류에서와 마찬가지로, 발사 서비스 제공업체를 통해 각 발사 고객들의 주문을 조정하고 관리한다. 최적 발사체 운용 및 계획 문제는 발사체 선택, 발사 전략 (전용 발사 또는 다중 탑재체 발사), 발사 일정, 위성 투입 순서를 결정하는 문제로, 이는 차량 경로 문제의 변형으로 수학적으로 정식화될 수 있다. 대규모 조합 최적화 문제에서 발생하는 복잡성을 해결하기 위해 열 생성 기법을 기반으로 한 문제 해결 기법이 제안되었으며, 사례 연구를 통해 제안된 프레임워크와 해결 기법의 타당성과 효과가 검증되었다.

서지기타정보

서지기타정보
청구기호 {DAE 25015
형태사항 v, 104 p. : 삽화 ; 30 cm
언어 영어
일반주기 저자명의 한글표기: 황준섭
지도교수의 영문표기: Ahn, Jae Myung
지도교수의 한글표기: 안재명
학위논문 학위논문(박사) - 한국과학기술원 : 항공우주공학과,
서지주기 References: p. 100-103
주제 Launch Manifesting Problem
Space Logistics
Freight Forwarder
Column Generation
Combinatorial optimization
발사체 운용 및 계획 문제
우주 물류
화물 운송 주선인
열 생성 기법
조합 최적화
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Property of satellite launch strategy

Example ofoptimal launch manifesting problem

Satellite Deployment Methods (Left: Single-Echelon, Right: Two-Echelon)

Thesis Roadmap

Three Different Launch Contract Methods in Space Logistics

Satellite Launch Strategy

Geometry for a Two-Impulse Combined Maneuver (Change in Inclination and Semi-major axis)

Geometry for a Two-Impulse Combined Maneuver (Change in Inclination, Semi-major axis, RAAN)

Conceptual Overview of the Problem Scenario

Objective, Decisions, and Constraints of the problem

Cost Model for Launch Strategy

Representation of Time-indexed Directed Graph

Set and Parameters for launch manifesting problem

Resource Constraints during the deployment of satellites (Single-Echelon Route)

Mass Component Relationship during Orbital Transfer ofthe 0TV

Optimal Solution pfProp-Minimizing Path and 0TV Visiting Sequence

Payload Capacity ofFalcon9 Rocket [30]

Payload Capacity of Vega Rocket [31]

Payload Capacity of Electron Rocket [32]

Resource Constraints during the deployment of satellites (Two-Echelon Route)

Example of Launch Vehicle Payload Database

Mass Component Relationship during Orbital Transfer ofthe Kick-stage

Framework of solution procedure

Relationship between the possible routes, feasible routes, and current routes

Illustration of the procedure oflabeling algorithm

Notation for pseudo code oflabeling algorithm

Pseudo code for the labeling algorithm

Flowchart for Column Generation Procedure

Launch Vehicle and OTV Parameters

Payload Capacity ofLaunch Vehicles

Flowchart for the proposed heuristic

Results of the Numerical Simulation

Required Av for Orbital Transfer (Single-Echelon Route)

Satellites Dataset

Elements of the Optimal Manifesting Plan

Optimal Manifesting Plan

Satellite Deployment Sequence of the 0TV

Elements ofManifesting Plan Obtained by Heuristic

Manifesting Plan (Heuristic)

Result Comparison Depending on Launcher Cost

Result ofParameter Study Depending on Launch Cost

Manifesting Plan (Only Multi-Payload Launch)

Result Comparison Depending on the Maximum Payload Mass

Result of Parameter Study Depending on the Maximum Payload Mass

Manifesting Plan (ratio = 0.90)

Manifesting Plan (ratio = 1.05)

Manifesting Plan (ratio = 0.95)

Manifesting Plan (ratio = 1.10)

Result Comparison Depending on Propellant Mass of the 0TV

Result of Parameter Study Depending on Propellant Mass ofthe 0TV

Manifesting Plan (mp = 35kg)

Manifesting Plan (mp = 50kg)

Manifesting Plan (mp = 40kg)

Manifesting Plan (mp = 55kg)

Medium Launch Vehicle's Specifications [41]

Payload Capacity ofLaunch Vehicles

Launch Vehicle and 0TV Parameters

Results of the Numerical Simulation

Required Av for Orbital Transfer (Two-Echelon Route)

Satellites Dataset

Optimal Manifesting Plan (Two-Echelon Case)

Visiting Sequence ofKick Stage and OTV on Each Launch

Elements of the Optimal Manifesting Plan

Result Comparison Depending on Ratio between Ca and CB

Result Comparison Depending on Launch Vehicle Cost

Result ofParameter Study Depending on Launch Cost

Optimal Launch Manifesting Plan (Only Dedicated Launch)

Result Comparison Depending on Orbital Transfer Vehicle Cost

Result ofParameter Study Depending on OTV Cost

Optimal Launch Manifesting Plan (COTv = 200 MU)

Optimal Launch Manifesting Plan (COTv = 2,000 MU)

Result Comparison Depending on Propellant Mass of the OTV

Result of Parameter Study Depending on the Propellant Mass ofthe 0TV

Manifesting Plan (mp = 20kg)

Manifesting Plan (mp = 35kg)

Manifesting Plan (mp = 25kg)

Manifesting Plan (mp = 40kg)