Optimization Toward Sustainable and Future-Ready Logistics : Based on Next-Generation Mobility Routing and Supply Chain Analytics
지속 가능하고 미래 지향적인 물류 최적화 연구: 차세대 모빌리티 라우팅과 공급망 분석을 기반으로
- 주제(키워드) Unmanned aerial vehicle , Autonomous delivery robot , Supply chain optimization , Mixed integer programming , Heuristic algorithm
- 발행기관 고려대학교 기술경영전문대학원
- 지도교수 Joonyup Eun
- 발행년도 2025
- 학위수여년월 2025. 8
- 학위명 박사
- 학과 및 전공 기술경영전문대학원 기술경영학과
- 원문페이지 172 p
- 실제URI http://www.dcollection.net/handler/korea/000000305151
- UCI I804:11009-000000305151
- DOI 10.23186/korea.000000305151.11009.0003129
- 본문언어 영어
목차
ABSTRACT i
초록 iv
PREFACE viii
TABLE OF CONTENTS x
LIST OF TABLES xiii
LIST OF FIGURES xv
CHAPTER 1. Introduction 1
1.1 RESEARCH MOTIVATION AND PURPOSE 1
1.2 CONTRIBUTIONS 3
1.3 OUTLINE OF THE DISSERTATION 5
CHAPTER 2. Flying Sidekick Traveling Salesman Problem Considering Returns 6
2.1 RESEARCH BACKGROUND 6
2.2 LITERATURE REVIEW 7
2.2.1 VRP with UAVs 7
2.2.2 VRP with returns 8
2.3 PROBLEM DEFINITION 9
2.3.1 Assumptions 11
2.3.2 Notation 11
2.3.3 Mathematical formulation 14
2.4 HEURISTIC APPROACH 23
2.4.1 Select UAV nodes to examine 25
2.4.2 TSP with GV nodes 28
2.4.3 Backtracking with UAV nodes 29
2.5 EXPERIMENT 32
2.5.1 MILP experiment 33
2.5.2 Heuristic experiment 34
CHAPTER 3. Station Problem Using Next-Generation Mobilities 39
3.1 RESEARCH BACKGROUND 39
3.2 LITERATURE REVIEW 40
3.2.1 VRP with UAVs 41
3.2.2 VRP with delivery robots 42
3.2.3 Delivery station with UAVs 42
3.2.4 Delivery station with delivery robots 42
3.2.5 Limitations of prior studies and distinctions of the proposed model 43
3.3 PROBLEM DEFINITION 45
3.3.1 Assumptions 45
3.3.2 Notation 46
3.3.3 Mathematical formulation 48
3.4 HEURISTIC APPROACH 50
3.4.1 Constructive stage 51
3.4.2 Reassignment stage 54
3.4.3 Hill climbing stage 56
3.5 EXPERIMENTS 57
3.5.1 Experiment setting 57
3.5.2 MILP experiment 59
3.5.3 Heuristic experiment 62
CHAPTER 4. Traveling Salesman Problem Using Heterogenous Sidekicks 66
4.1 RESEARCH BACKGROUND 66
4.2 LITERATURE REVIEW 68
4.2.1 Cooperative TSPs with UAVs 69
4.2.2 Cooperative TSPs with delivery robots 70
4.2.3 Distinction from previous studies 70
4.3 PROBLEM DEFINITION 72
4.3.1 Assumptions 72
4.3.2 Notation 72
4.3.3 Mathematical formulation 76
4.4 HEURISTIC APPROACH 85
4.4.1 Constructive stage 86
4.4.2 Node assigning stage 90
4.4.3 Metaheuristic search stage 95
4.5 EXPERIMENT 98
4.5.1 MILP experiment 99
4.5.2 Heuristic experiment 100
4.5.3 Managerial implications 103
CHAPTER 5. Supply Chain Optimization in an Oligopolistic and Mature Industry 105
5.1 RESEARCH BACKGROUND 105
5.2 LITERATURE REVIEW 106
5.2.1 Supply chain perspective and competitive strategy 106
5.2.2 Market uncertainty 107
5.3 PROBLEM DEFINITION 109
5.3.1 Terminologies 109
5.3.2 Assumptions 110
5.3.3 Mathematical formulation 110
5.4 EXPERIMENT: Case study in cationic reagent industry 112
5.4.1 Data 113
5.4.2 Ideal equilibrium and pursuing market players’ profits 115
5.4.3 Impact of risk hedging 118
5.4.4 Impact of trade dispute between United States and China 120
5.4.5 Demand decreases 121
5.4.6 Production capacity increases or decreases 124
5.4.7 Managerial implications 126
CHAPTER 6. Summary And Future Work 128
6.1 SUMMARY 128
6.2 FUTURE WORK 130
REFERENCES 132
