PHD, Tongji university, China
Dr. Ronghang Jiang is a PhD student in Management Science and Engineering at the School of Economics and Management, Tongji University. His research focuses on logistics and supply chain management, optimization theory, and car-sharing operations. He has contributed to optimizing car-sharing strategies, including the management of relocation employees, spatial flexibility, and the integration of electric vehicles. Dr. Jiang developed innovative algorithms such as the adaptive Jaya algorithm and shadow price Benders decomposition. With multiple published articles and ongoing projects, he is shaping the future of logistics and optimization. 📚💡🚗
Publication Profile
Google Scholar
Academic and Professional Background
Dr. Ronghang Jiang is currently pursuing a PhD in Management Science and Engineering at the School of Economics and Management, Tongji University. His research focuses on key areas such as logistics and supply chain management, optimization theory, and algorithms. Additionally, Dr. Jiang explores car-sharing management, aiming to enhance operational efficiency and develop innovative solutions. His work integrates cutting-edge algorithms and practical approaches to address real-world challenges in these fields. Through his academic journey, he is contributing to advancements in both theoretical and applied aspects of logistics, supply chain optimization, and car-sharing management. 📚🚗🔍
Areas of Research
Dr. Ronghang Jiang’s research spans several dynamic areas, including logistics and supply chain management, where he focuses on enhancing operational efficiency and optimizing resource allocation. His work in optimization theory and algorithms aims to develop advanced mathematical frameworks for solving complex problems in logistics and operations. Additionally, Dr. Jiang is deeply involved in car-sharing management, specifically optimizing strategies for car-sharing operations, integrating electric vehicles, and improving user experience through spatial flexibility. His interdisciplinary approach combines theory, algorithms, and practical applications to address the evolving challenges in these fields. 🚚📦🔧🚗
Publication Top Notes
- Surgical cases assignment problem using a multi-objective squirrel search algorithm (Cited by: 5, 2024) 🐿️
- Dynamic allocation of medical resources during infectious disease emergencies: A case study of the Wuhan COVID-19 outbreak (Cited by: 2, 2023) 🦠
- One-way carsharing facility planning under uncertain demand (Cited by: 2, 2022) 🚗
- Dynamic relocation policies in a multi-region one-way carsharing system using staff management 2025) 🛣️
- Dynamic relocation policy for one-way electric carsharing systems considering space flexibility (2024) 🔋🚙
- Ambulance travel time model considering the impact of traffic lights (Cited by: 0, 2022) 🚑🛑
- Research on round-trip shared car scheduling with complete time-space flexibility for customers (2021) 🕓🚗
- An Adaptive Shadow Price Benders Decomposition Algorithm for Joint Planning and Operational Management of One-Way Carsharing Systems (2023) 📈