Dr. Yuquan (Bill) Du is a lecturer in the Department of Maritime and Logistics Management, Australian Maritime College. His current research concentrates on scheduling models and algorithms, logistics and supply chain management, especially on the optimisation problems in ports and shipping. Dr. Du has devoted more than 10 years entirely to maritime studies since his first research project on port operations as a master’s student in 2006. Some of his studies have gained high academic or industrial reputation, such as INFORMS President’s Pick, and Industry Mention of IBM’s Optimisation Team on CPLEX. One of his papers also ranks in the MOST CITED ARTICLES since 2011 of Transportation Research Part E. He is also enthusiastic about promoting the applications of optimisation theory and solvers through his blog 'Chinese OR Tea', which has attracted more than 220,000 visits since its opening in 2008.
|Degree||Thesis title||University||Country||Date of award|
|Ph.D.||Green Shipping Oriented Berth Allocation||Nankai University||China||21/06/2012|
|M.E.||Robust Berth Allocation with Stochastic and Out-of-Schedule Vessel Arrivals||Nankai University||China||23/06/2009|
Languages (other than English)
Dr. Du obtained his B.E. in Software Engineering in 2004 at Nankai University in China. Then, he worked as a teacher and a technical specialist in Jiangxi Vocational College of Finance and Economics between 2004 and 2006. After the two-year work, he returned to Nankai University to pursue his master's and doctor's degrees. He obtained his PhD in Control Theory and Control Engineering in June 2012. Afterwards, he worked for about one year as an Assistant Professor at the Department of Transportation Engineering in Inner Mongolia University. Motivated by his academic aspiration, in Nov 2013, he joined the Centre for Maritime Studies, National University of Singapore, and worked there as a research fellow for three years. Since Oct 2016, he has been working as a lecturer with Australian Maritime College, University of Tasmania.
Dr. Du's research lies in the intersection of the University's research theme of Marine, Antarctic and Maritime, and the theme of Data, Knowledge and Decisions. His research mainly involves the application of optimisation theories (mathematical modelling and algorithm design) to the management science issues in transport, logistics and supply chain management. He has strong expertise in operations research and optimisation theories, and long-time experience of employing top commercial optimisation solvers, such as IBM ILOG CPLEX Optimizer, IBM ILOG CP Optimizer, Gurobi, and Mosek. His research also requires good skills in coding, with e.g. MATLAB, C++ and Python. Regarding his research in maritime studies, he has been devoting much to the scheduling problems in container and bulk ports, including berth allocation, quay crane allocation and scheduling, yard storage management, and container delivery. Meanwhile, he is also interested in the management science issues in shipping companies, such as shipping service network design, fleet management, ship routing and scheduling, and voyage planning.
Supply Chain Management, Operations Research, Management Science, Optimisation, Ports and Shipping
Transport Economics; Operations Research; Research Methodologies
Invited academic talks:
- 'Matheuristics: Combining the strengths of both (integer) linear programming techniques and heuristics', Shanghai Maritime University (SMU), 18 Oct 2013, invited by SMU Logistics Research Center
- 'Mitigating shipping emissions: models and algorithms', Nankai University, 1 Oct 2016, invited by College of Computer and Control Engineering
- Operations Management in Maritime (Ports and Shipping)
- Logistics and Supply Chain Management
- Mathematical modelling
- Operations Research
- Management Science
- INFORMS President’s Pick, 2015
- Finalist of Best Paper Award of the committee of Freight Transportation Planning and Logistics (AT015), the 94th Annual Meeting of Transportation Research Board, 2015
- National Academic Young Star of Ph.D. Students, Ministry of Education, China, 2011
In the past few years, Dr. Du was conducting research in the field of maritime studies by collaborating with his colleagues and partners in academic institutions including Nankai University, National University of Singapore, Nanyang technological University, Shanghai Maritime University, and ASTAR. He was also developing voyage planning models for his industrial partner, American President Lines (APL). By working with University of Tasmania, he is expected to expand his wide collaborations with the academic and industrial communities of Australia.
- Big Shipping Log Data Driven Ship Fuel Efficiency Analysis and Management: Model Building & Software Development, NOL Fellowship Project, Main researcher
- Viability of Transarctic Shipping Routes and Their Impact Analysis on Maritime Transportation, SMI (Singapore Maritime Institute) Project, Co-PI
- Transportation and Freight Services (150799)
- Operations Research (010206)
- International Sea Freight Transport (excl. Live Animal Transport) (880202)
- Port Infrastructure and Management (880205)
- Management of Greenhouse Gas Emissions from Transport Activities (889802)
Dr. Du has a strong publication track record in premier transportation/maritime journals, such as Transportation Science, Transportation Research Part B/E, and Maritime Policy and Management. He published his research outcomes in two streams of maritime studies: (a) scheduling problems in container and bulk ports, such as berth allocation, quay crane allocation and scheduling, and yard storage management; and (b) management science issues confronting shipping companies, such as shipping service network design, ship scheduling and routing, and voyage planning. His paper published in Transportation Science in 2015 was handpicked by Prof. Robin Keller as the INFOMRS President's Pick. His paper published in Transportation Research Part E in 2011 also ranks in the MOSTED CITED ARTICLES of the journal.
Journal Article(11 outputs)
|2016||Wang Y, Meng Q, Du Y, 'Liner container seasonal shipping revenue management', Transportation Research. Part B: Methodological, 82 pp. 141-161. ISSN 0191-2615 (2016) [Refereed Article]|
Citations: Scopus - 9
|2016||Du Y, Meng Q, Wang S, 'Mathematically calculating the transit time of cargo through a liner shipping network with various trans-shipment policies', Maritime Policy and Management, 44, (2) pp. 248-270. ISSN 0308-8839 (2016) [Refereed Article]|
|2016||Liu Z, Wang S, Du Y, Wang H, 'Supply chain cost minimization by collaboration between liner shipping companies and port operators', Transportation Journal, 55, (3) pp. 296-314. ISSN 0041-1612 (2016) [Refereed Article]|
|2016||Meng Q, Du Y, Wang Y, 'Shipping log data based container ship fuel efficiency modeling', Transportation Research Part B: Methodological, 83 pp. 207-229. ISSN 0191-2615 (2016) [Refereed Article]|
Citations: Scopus - 3
|2016||Qin T, Du Y, Sha M, 'Evaluating the solution performance of IP and CP for berth allocation with time-varying water depth', Transportation Review. Part E: Logistics and Transportation Review, 87 pp. 167-185. ISSN 1366-5545 (2016) [Refereed Article]|
Citations: Scopus - 1
|2016||Du Y, Meng Q, Wang Y, 'Budgeting fuel consumption of container ship over round-trip voyage through robust optimization', Transportation Research Record, 2477 Article 2477-08. ISSN 0361-1981 (2016) [Refereed Article]|
Citations: Scopus - 3
|2015||Du Y, Chen Q, Lam JSL, Xu Y, Cao JX, 'Modeling the impacts of tides and the virtual arrival policy in berth allocation', Transportation Science, 49, (4) pp. 939 - 956. ISSN 0041-1655 (2015) [Refereed Article]|
Citations: Scopus - 10Web of Science - 6
|2015||Meng Q, Wang Y, Du Y, 'Bunker procurement planning for container liner shipping companies: Multistage stochastic programming approach', Transportation Research Record, 2479 pp. 60-68. ISSN 0361-1981 (2015) [Refereed Article]|
|2014||Hu Q-M, Hu Z-H, Du Y, 'Berth and quay-crane allocation problem considering fuel consumption and emissions from vessels', Computers & Industrial Engineering, 70 pp. 1-10. ISSN 0360-8352 (2014) [Refereed Article]|
Citations: Scopus - 16
|2011||Du Y, Chen Q, Quan X, Long L, Fung RYK, 'Berth allocation considering fuel consumption and vessel emissions', Transportation Research Part E: Logistics and Transportation Review, 47, (6) pp. 1021-1037. ISSN 1366-5545 (2011) [Refereed Article]|
Citations: Scopus - 66Web of Science - 54
|2011||Du Y, Chen Q-S, Ji X-T, 'Service-oriented berth allocation and quay crane assignment', Computer Integrated Manufacturing Systems, 17, (9) pp. 2051-2060. ISSN 1006-5911 (2011) [Refereed Article]|
Conference Publication(1 outputs)
|2010||Du Y, Xu Y, Chen Q, 'A feedback procedure for robust berth allocation with stochastic vessel delays', Proceedings of the 8th World Congress on Intelligent Control and Automation, 6-9 July 2010, Jinan, China, pp. 2210-2215. ISBN 978-1-4244-6712-9 (2010) [Refereed Conference Paper]|
Citations: Scopus - 8
During his PhD years, Dr. Du focused mainly on the scheduling problems in container ports, funded by two NSFC (National Natural Science Foundation of China) projects. After he joined National University of Singapore, by working with Prof. Qiang Meng, he got involved, as the main researcher or Co-PI, in two SMI (Singapore Maritime Institute) projects and one NOLF (NOL Fellowship Program) project.
Dr. Du's research and projects mainly involve addressing the management science issues confronting ports and shipping companies (berth allocation, quay crane allocation and scheduling, yard storage management, shipping service network design, fleet management, ship routing and scheduling, voyage planning, etc), through optimisation methods (mathematical modelling and solution algorithms). Students with one of the following backgrounds are welcome: Applied Mathematics (Operations Research, Statistics), Automation (Control Theory and Control Engineering), Computer Science, Industrial Engineering, Management Science and Engineering, and Traffic and Transportation Engineering. Students with strong expertise of optimisation theories and good coding skills (MATLAB/C++/Python/Java, etc) are extremely welcome. As an active researcher, I will be reading papers with you, finding research topics with you, modelling with you, coding with you, debugging with you, drafting manuscripts with you, revising papers with you, …, all the time with you, until you are called a researcher. I hope you could enjoy the happiness and honours endowed by research. If your career objective is an assistant professor in academia or an advanced OR/OM (Operations Research/Operations Management) specialist in industries, feel free to drop me a line.