Profiles

Yuquan (Bill) Du

UTAS Home Dr Yuquan (Bill) Du

Yuquan (Bill) Du

Senior Lecturer in Maritime and Logistics Management
Australian Maritime College (AMC)

Room F95 , Swanson Building

+61 3 6324 3123 (phone)

Yuquan.Du@utas.edu.au

Dr Yuquan (Bill) Du is a Senior Lecturer of Transport, Logistics, and Supply Chain Management in the Centre for Maritime and Logistics Management, Australian Maritime College (AMC). His current research concentrates on applying machine learning and optimisation approaches to the decision-making problems in transport and logistics systems. He is a highly cited researcher in the area of global freight transport and logistics studies. Some of his studies have gained high academic or industrial reputation, such as INFORMS President’s Pick (2015), 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 the recipient of AMC Service Award (June 2021).

Biography

Dr Du obtained his B.E. in Software Engineering in 2004 at Nankai University in China. Then, he worked as a lecturer 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 (Logistics and Supply Chain Management) 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.

Career summary

Qualifications

Degree Thesis titleUniversityCountry 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
B.E. - Nankai University China 24/06/2004

Languages (other than English)

Chinese

Memberships

Committee associations

Bill is an Academic Member of the Australian Maritime Logistics Research Network (AMLRN). He was a Local Organising Committee member and Session Chair of the 10th Asian Logistics Round Table Conference (ALRT 2020), Session Chair of World Transport Convention (Aug 2017 - Aug 2019), Regional Program Chair (Australia/New Zealand) of 2018 IEEE Cyber Conference, and TPC Member of 2018 Moratuwa Engineering Research Conference.

Administrative expertise

He was acting as the Postgraduate (PG) Course Coordinator at the discipline from June 2019 until December 2021, and co-led the 2022 Postgraduate Course Transformation of the discipline.

Teaching

Logistics Management, Warehousing & Distribution, Inventory Management, Research Methods, and Dissertation

Teaching expertise

Logistics Management, Warehousing & Distribution, Supply Chain Management, Research Methods, Data Analytics, Operations Research, Information and Communication Technologies

Teaching responsibility

Research Appointments

Dr Du was the Guest Editor of the journal Maritime Policy & Management (MPM), and of Journal of Marine Science and Engineering (JMSE). He is also the Editorial Board Member of Multimodal Transportation.

Research Invitations

He was invited by many world top universities for academic visits and seminar presentations, such as a two-week academic visit to The Hong Kong University of Science and Technology in 2017 to 2018, and seminar presentations to the Hong Kong Polytechnic University. In 2021, he was invited by National University of Singapore to join a research project on AI-based ship fuel consumption and emission estimation. He was invited by the ARC ERA team to assess the research excellence of the transport and logistics disciplines of Australian universities. Agency for Science, Technology and Research (A*) in Singapore invited him to review research project proposals for 2020 Singapore-Germany Academic-Industry 2+2 International Collaboration funding programme.

View more on Dr Bill Du in WARP

Expertise

Dr Du's research focuses mainly on addressing decision-marking problems in Transport, Logistics, Supply Chain Management through Optimization and Machine Learning approaches. I have a good publication track record in top journals on transportation and logistics, such as Transportation Science, Transportation Research Part B/E, International Journal of Physical Distribution & Logistics Management, and European Journal of Operational Research. Some of these papers gain high academic or industrial reputation, such as INFORMS President’s Pick (2015), and Industry mention of IBM’s optimization Team on CPLEX. He has been the Lead Applicant/Chief Investigator/Academic Collaborator of research projects with a total funding in excess of $1 million.

Research Themes

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.

Collaboration

Dr Du has been collaborating with scholars and industry professionals from Australia, Singapore, Hong Kong SAR, China, South Korea, UK, and Sweden, in research projects and publications.

Awards

  • 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

Current projects

He has been conducting researches on data-driven ship fuel/emission efficiency analysis, impacts of extreme disruptions on small industries, blockchain applications in ports, shipping, and global supply chain, and CO2 emission quantification from transport and logistics system.

Fields of Research

  • Maritime transportation and freight services (350904)
  • Supply chains (350909)
  • Transportation, logistics and supply chains (350999)
  • Transport economics (380117)
  • Banking, finance and investment (350299)
  • Logistics (350903)
  • Disaster and emergency management (350703)
  • Cloud computing (460601)
  • Natural language processing (460208)
  • Operations research (490108)

Research Objectives

  • International sea freight transport (excl. live animals, food products and liquefied gas) (270405)
  • Port infrastructure and management (270409)
  • Logistics (140107)
  • Expanding knowledge in commerce, management, tourism and services (280106)
  • Economic growth (150203)
  • Management of greenhouse gas emissions from transport activities (190311)
  • International passenger water transport (e.g. passenger ships) (270404)
  • Industrial relations (150301)
  • Artificial intelligence (220403)
  • Technological and organisational innovation (150306)
  • Management and productivity (150399)

Publications

Dr Du has a strong publication track record in ABDC A*/A journals and top journals on transportation and logistics, such as Transportation Science, Transportation Research Part B/E, International Journal of Physical Distribution & Logistics Management, and European Journal of Operational Research. Some of these papers gain high academic or industrial reputation, such as INFORMS President’s Pick (Sept. 2015), and Industry mention of IBM’s optimization Team on CPLEX. With the support of International Association of Maritime Universities (IAMU), he published a series of three papers (Part I, Part II, and Part III) in Communications in Transportation Research to disseminate his cutting-edge research of machine learning models for ship fuel/emission efficiency analysis, fully driven by industry data.

Total publications

36

Highlighted publications

(9 outputs)
YearTypeCitationAltmetrics
2021Journal ArticleNguyen S, Chen PS-L, Du Y, Thai VV, 'An operational risk analysis model for container shipping systems considering uncertainty quantification', Reliability Engineering and System Safety, 209 Article 107362. ISSN 0951-8320 (2021) [Refereed Article]

DOI: 10.1016/j.ress.2020.107362 [eCite] [Details]

Citations: Scopus - 10Web of Science - 9

Co-authors: Nguyen S; Chen PS-L

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2020Journal ArticleNguyen S, Chen PS-L, Du Y, 'Risk identification and modeling for blockchain-enabled container shipping systems', International Journal of Physical Distribution and Logistics Management pp. 1-23. ISSN 0960-0035 (2020) [Refereed Article]

DOI: 10.1108/IJPDLM-01-2020-0036 [eCite] [Details]

Citations: Scopus - 17Web of Science - 16

Co-authors: Nguyen S; Chen PS-L

Tweet

2020Journal ArticleQin T, Du Y, Chen JH, Sha M, 'Combining mixed integer programming and constraint programming to solve the integrated scheduling problem of container handling operations of a single vessel', European Journal of Operational Research, 285, (3) pp. 884-901. ISSN 0377-2217 (2020) [Refereed Article]

DOI: 10.1016/j.ejor.2020.02.021 [eCite] [Details]

Citations: Scopus - 13Web of Science - 12

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2020Journal ArticleWang T, Du Y, Fang D, Li Z, 'Berth allocation and quay crane assignment for the trade-off between service efficiency and operating cost considering carbon emission taxation', Transportation Science, 54, (5) pp. 1307-1331. ISSN 0041-1655 (2020) [Refereed Article]

DOI: 10.1287/trsc.2019.0946 [eCite] [Details]

Citations: Scopus - 22Web of Science - 18

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2019Journal ArticleDu Y, Meng Q, Wang S, Kuang H, 'Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data', Transportation Research Part B: Methodological, 122 pp. 88-114. ISSN 0191-2615 (2019) [Refereed Article]

DOI: 10.1016/j.trb.2019.02.004 [eCite] [Details]

Citations: Scopus - 57Web of Science - 45

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2016Journal ArticleMeng 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]

DOI: 10.1016/j.trb.2015.11.007 [eCite] [Details]

Citations: Scopus - 77Web of Science - 66

Tweet

2016Journal ArticleWang 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]

DOI: 10.1016/j.trb.2015.10.003 [eCite] [Details]

Citations: Scopus - 68Web of Science - 62

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2015Journal ArticleDu 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]

DOI: 10.1287/trsc.2014.0568 [eCite] [Details]

Citations: Scopus - 81Web of Science - 74

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2011Journal ArticleDu 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]

DOI: 10.1016/j.tre.2011.05.011 [eCite] [Details]

Citations: Scopus - 191Web of Science - 171

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Journal Article

(35 outputs)
YearCitationAltmetrics
2022Du Y, Chen Yanyu, Li XH, Schonborn A, Sun Z, 'Data fusion and machine learning for ship fuel efficiency modeling: part II - voyage report data, AIS data and meteorological dat', Communications in Transportation Research, 2 Article 100073. ISSN 2772-4247 (2022) [Refereed Article]

DOI: 10.1016/j.commtr.2022.100073 [eCite] [Details]

Citations: Scopus - 4

Co-authors: Chen Yanyu; Li XH

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2022Du Y, Chen Yanyu, Li XH, Schonborn A, Sun Z, 'Data fusion and machine learning for ship fuel efficiency modeling: part III - sensor data and meteorological data', Communications in Transportation Research, 2 Article 100072. ISSN 2772-4247 (2022) [Refereed Article]

DOI: 10.1016/j.commtr.2022.100072 [eCite] [Details]

Citations: Scopus - 3

Co-authors: Chen Yanyu; Li XH

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2022Kanrak M, Nguyen H-O, Du Y, 'Analysis of the COVID-19 pandemic's impact on the cruise shipping network in the Asian-Australasian region', Journal of International Logistics and Trade, 20, (1) pp. 1-17. ISSN 1738-2122 (2022) [Refereed Article]

DOI: 10.24006/jilt.2022.20.1.001 [eCite] [Details]

Co-authors: Kanrak M; Nguyen H-O

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2022Li XH, Du Y, Chen Yanyu, Nguyen S, Zhang Wei, et al., 'Data fusion and machine learning for ship fuel efficiency modeling: Part I - voyage report data and meteorological data', Communications in Transportation Research, 2 Article 100074. ISSN 2772-4247 (2022) [Refereed Article]

DOI: 10.1016/j.commtr.2022.100074 [eCite] [Details]

Citations: Scopus - 4

Co-authors: Li XH; Chen Yanyu; Nguyen S; Zhang Wei

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2022Nguyen S, Chen PSL, Du Y, 'Risk assessment of maritime container shipping blockchain - integrated systems: an analysis of multi - event scenarios', Transportation Review. Part E: Logistics and Transportation Review, 163, (2022) Article 102764. ISSN 1366-5545 (2022) [Refereed Article]

DOI: 10.1016/j.tre.2022.102764 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

Co-authors: Nguyen S; Chen PSL

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2022Nguyen S, Chen PSL, Du Y, 'A methodological framework for quantitative risk analysis in container shipping operations', Maritime Business Review pp. 1-17. ISSN 2397-3757 (2022) [Refereed Article]

DOI: 10.1108/MABR-11-2021-0088 [eCite] [Details]

Co-authors: Nguyen S; Chen PSL

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2022Wang S, Du Y, 'Pathway of mathematical optimization research: from specialized problems and opaque algorithms to standardized problems and transparent algorithms', Journal of Marine Science and Engineering, 10, (10) pp. 1-2. ISSN 2077-1312 (2022) [Refereed Article]

DOI: 10.3390/jmse10101434 [eCite] [Details]

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2022Yan R, Yang Y, Du Y, 'Stochastic optimization model for ship inspection planning under uncertainty in maritime transportation', Electronic Research Archive, 31, (1) pp. 103-122. ISSN 2688-1594 (2022) [Refereed Article]

DOI: 10.3934/era.2023006 [eCite] [Details]

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2021Nguyen S, Chen PS-L, Du Y, 'Container shipping operational risks: an overview of assessment and analysis', Maritime Policy & Management pp. 1-21. ISSN 0308-8839 (2021) [Refereed Article]

DOI: 10.1080/03088839.2021.1875142 [eCite] [Details]

Citations: Scopus - 1Web of Science - 3

Co-authors: Nguyen S; Chen PS-L

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2021Nguyen S, Chen PS-L, Du Y, Thai VV, 'An operational risk analysis model for container shipping systems considering uncertainty quantification', Reliability Engineering and System Safety, 209 Article 107362. ISSN 0951-8320 (2021) [Refereed Article]

DOI: 10.1016/j.ress.2020.107362 [eCite] [Details]

Citations: Scopus - 10Web of Science - 9

Co-authors: Nguyen S; Chen PS-L

Tweet

2021Nguyen S, Chen SL, Du Y, 'Managing operational risks in container shipping: a new approach for the rising of information risk', Marine Research, 1, (1) pp. 61-85. ISSN 2709-6629 (2021) [Refereed Article]

DOI: 10.29677/MR.202112_(1).0004 [eCite] [Details]

Co-authors: Nguyen S; Chen SL

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2021Shi W, Du Y, Chang C-H, Nguyen S, Wu J, 'Spatial heterogeneity and economic driving factors of SO2 emissions in China: Evidence from an eigenvector based spatial filtering approach', Ecological Indicators, 129 Article 108001. ISSN 1470-160X (2021) [Refereed Article]

DOI: 10.1016/j.ecolind.2021.108001 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

Co-authors: Shi W; Nguyen S

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2021Xu Y, Du Y, Li Y, Zhang H, 'Collaborative emergency berth scheduling based on decentralized decision and price mechanism', Annals of Operations Research, 298 pp. 525-554. ISSN 0254-5330 (2021) [Refereed Article]

DOI: 10.1007/s10479-018-2859-2 [eCite] [Details]

Citations: Scopus - 1Web of Science - 2

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2021Yang R, Yu M, Lee CY, Du Y, 'Contracting in ocean transportation with empty container repositioning under asymmetric information', Transportation Research Part E: Logistics and Transportation Review, 145 Article 102173. ISSN 1366-5545 (2021) [Refereed Article]

DOI: 10.1016/j.tre.2020.102173 [eCite] [Details]

Citations: Scopus - 6Web of Science - 4

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2020Nguyen S, Chen PS-L, Du Y, 'Risk identification and modeling for blockchain-enabled container shipping systems', International Journal of Physical Distribution and Logistics Management pp. 1-23. ISSN 0960-0035 (2020) [Refereed Article]

DOI: 10.1108/IJPDLM-01-2020-0036 [eCite] [Details]

Citations: Scopus - 17Web of Science - 16

Co-authors: Nguyen S; Chen PS-L

Tweet

2020Qin T, Du Y, Chen JH, Sha M, 'Combining mixed integer programming and constraint programming to solve the integrated scheduling problem of container handling operations of a single vessel', European Journal of Operational Research, 285, (3) pp. 884-901. ISSN 0377-2217 (2020) [Refereed Article]

DOI: 10.1016/j.ejor.2020.02.021 [eCite] [Details]

Citations: Scopus - 13Web of Science - 12

Tweet

2020Wang T, Du Y, Fang D, Li Z, 'Berth allocation and quay crane assignment for the trade-off between service efficiency and operating cost considering carbon emission taxation', Transportation Science, 54, (5) pp. 1307-1331. ISSN 0041-1655 (2020) [Refereed Article]

DOI: 10.1287/trsc.2019.0946 [eCite] [Details]

Citations: Scopus - 22Web of Science - 18

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2020Yan R, Wang S, Du Y, 'Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship', Transportation Research Part E: Logistics and Transportation Review, 138 Article 101930. ISSN 1366-5545 (2020) [Refereed Article]

DOI: 10.1016/j.tre.2020.101930 [eCite] [Details]

Citations: Scopus - 34Web of Science - 30

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2019Du Y, Meng Q, Shi W, 'Impact analysis of the traffic convoy system and toll pricing policy of the Suez Canal on the operations of a liner containership over a long-haul voyage', International Journal of Shipping and Transport Logistics, 11, (2/3) pp. 119-144. ISSN 1756-6517 (2019) [Refereed Article]

DOI: 10.1504/IJSTL.2019.099276 [eCite] [Details]

Co-authors: Shi W

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2019Du Y, Meng Q, Wang S, Kuang H, 'Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data', Transportation Research Part B: Methodological, 122 pp. 88-114. ISSN 0191-2615 (2019) [Refereed Article]

DOI: 10.1016/j.trb.2019.02.004 [eCite] [Details]

Citations: Scopus - 57Web of Science - 45

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2019Kanrak M, Nguyen HO, Du Y, 'Maritime transport network analysis: a critical review of analytical methods and applications', Journal of International Logistics and Trade, 17, (4) pp. 113-122. ISSN 1738-2122 (2019) [Refereed Article]

DOI: 10.24006/jilt.2019.17.4.002 [eCite] [Details]

Co-authors: Kanrak M; Nguyen HO

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2019Nguyen S, Chen PS-L, Du Y, Shi W, 'A quantitative risk analysis model with integrated deliberative Delphi platform for container shipping operational risks', Transportation Research Part E: Logistics and Transportation Review, 129 pp. 203-227. ISSN 1366-5545 (2019) [Refereed Article]

DOI: 10.1016/j.tre.2019.08.002 [eCite] [Details]

Citations: Scopus - 27Web of Science - 27

Co-authors: Nguyen S; Chen PS-L; Shi W

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2018Li KX, Xiao Y, Chen S-L, Zhang W, Du Y, et al., 'Dynamics and interdependencies among different shipping freight markets', Maritime Policy and Management, 45, (7) pp. 837-849. ISSN 0308-8839 (2018) [Refereed Article]

DOI: 10.1080/03088839.2018.1488187 [eCite] [Details]

Citations: Scopus - 13Web of Science - 10

Co-authors: Chen S-L; Zhang W; Shi W

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2018Xu Y, Xue K, Du Y, 'Berth scheduling problem considering traffic limitations in the navigation channel', Sustainability, 10, (12) Article 4795. ISSN 2071-1050 (2018) [Refereed Article]

DOI: 10.3390/su10124795 [eCite] [Details]

Citations: Scopus - 9Web of Science - 2

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2016Du 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]

DOI: 10.1080/03088839.2016.1274831 [eCite] [Details]

Citations: Scopus - 13Web of Science - 12

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2016Du 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]

DOI: 10.3141/2477-08 [eCite] [Details]

Citations: Scopus - 16Web of Science - 14

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2016Liu 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]

DOI: 10.5325/transportationj.55.3.0296 [eCite] [Details]

Citations: Scopus - 15Web of Science - 11

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2016Meng 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]

DOI: 10.1016/j.trb.2015.11.007 [eCite] [Details]

Citations: Scopus - 77Web of Science - 66

Tweet

2016Qin 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]

DOI: 10.1016/j.tre.2016.01.007 [eCite] [Details]

Citations: Scopus - 20Web of Science - 15

Tweet

2016Wang 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]

DOI: 10.1016/j.trb.2015.10.003 [eCite] [Details]

Citations: Scopus - 68Web of Science - 62

Tweet

2015Du 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]

DOI: 10.1287/trsc.2014.0568 [eCite] [Details]

Citations: Scopus - 81Web of Science - 74

Tweet

2015Meng 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]

DOI: 10.3141/2479-08 [eCite] [Details]

Citations: Scopus - 7Web of Science - 7

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2014Hu 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]

DOI: 10.1016/j.cie.2014.01.003 [eCite] [Details]

Citations: Scopus - 72Web of Science - 62

Tweet

2011Du 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]

DOI: 10.1016/j.tre.2011.05.011 [eCite] [Details]

Citations: Scopus - 191Web of Science - 171

Tweet

2011Du 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]

[eCite] [Details]

Conference Publication

(1 outputs)
YearCitationAltmetrics
2010Du 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]

DOI: 10.1109/WCICA.2010.5554316 [eCite] [Details]

Citations: Scopus - 22Web of Science - 15

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Grants & Funding

He has been conducting researches on data-driven ship fuel/emission efficiency analysis, impacts of extreme disruptions on small industries, blockchain applications in ports, shipping, and global supply chain, and CO2 emission quantification from transport and logistics system. His researches have been funded by International Association of Maritime Universities (IAMU), AgriFutures Australia, Singapore Maritime Institute (SMI), etc.

Funding Summary

Number of grants

3

Total funding

$211,839

Projects

Data fusion and machine learning for ship fuel efficiency analysis: a small but essential step towards green shipping through data analytics (2021 - 2022)$77,790
Description
This project is to*Develop a data fusion methodology that pre-processes voyage report data, sensor data, weather archive data, and AIS data and combines these four data sets in a systematic way;*Develop some ship fuel efficiency models with machine learning approaches (piecewise linear/nonlinear regression, neural network, and random forest) that quantify the synergetic influence of sailing speed, displacement/draft, trim, sea conditions, and weather conditions on a ship's daily bunker fuel consumption;*Construct a computer (Python) code infrastructure for the above data fusion methodology and ship fuel efficiency models.
Funding
International Association of Maritime Universities ($77,790)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Du Y; Chen S; Nikolova ND; Bhaskar PR; Fei J; Bai Q
Period
2021 - 2022
Model impacts of extreme disruptions on production and profitability of small and emerging industries (2021 - 2022)$116,549
Description
There have been increasing national and global incidences causing extreme disruptions to businesses of all kinds, for example, bush fires, pandemic, and trade war. The impacts of such disruptions on industries or businesses vary due to the nature of the industries and the size and establishment of the businesses. Small and emerging industries in the Australian agricultural sector, while agile in exploring market opportunities and responding to consumer needs, are vulnerable to extreme disruptions compared to large and well-established industries. The lack of understanding in the impacts of such disruptions on both production and profitability poses significant challenges in undertaking risk assessment and appropriate planning. The project will examine the influential factors during extreme disruptions on production and profitability, with a focus on small and emerging industries in the Australian agricultural sector. A framework will be developed to model the impacts and through quantitative process, to prioritise the areas that will affect the most the outcomes of responses. The framework will contribute to the small and emerging industries in improving preparedness for and recovery from extreme disruptions through enhanced resilience.
Funding
AgriFutures ($116,549)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Fei J; Du Y
Period
2021 - 2022
Analysis of operational risks in container shipping under the impact of blockchain application (2020 - 2022)$17,500
Description
Container shipping operational risks (CSORs) is the existence of potential hazardous events that might lead to actual negative consequences to the ability of the container shipping services providers (e.g., shipping companies, port operators, freight forwarders) to maintain their services at a certain level of quality, quantity or profitability. Blockchain or Distributed Ledger is mentioned by advocates as a solution to prevent multiple CSORs by improving the efficiency and security of the industry's information flow. However, the uncertainty in implementation and operation, as well as the immaturity of the technology, created a favourable environment for new CSORs to develop, hindering the application of the technology. This research investigates the situation of CSORs upon the application of blockchain technology by the process of risk identification to risk assessment. The following are the objectives of this project aiming to achieve.1.Obtaining the perspective and insights of the container shipping service providers (i.e., port operators, container shipping companies, freight forwarders) about the application of blockchain in the industry (e.g., settings, functions, connections with existing systems).2.Identification of potential operational risks in container shipping systems with the application of blockchain technology.3.Identification of multiple-event risk scenarios in which an initial HE can cause other consequential HEs that cause cumulative consequences.4.Development of a risk analysis model to assess the identified risks considering the characteristics of the identified CSORs and risk general characteristics (i.e., Uncertainty, Ambiguity, and Complexity).5.Prioritisation of the identified CSORs reflecting the situation of risk in the perspective of container shipping service providers
Funding
iMOVE Australia ($17,500)
Scheme
PhD top-up scholarship
Administered By
University of Tasmania
Research Team
Chen S; Du Y
Period
2020 - 2022

Research Supervision

Dr Du has been supervising PhD students in the areas of machine learning, optimisation, and simulation models to improve the decision-makings of Transport, Logistics, and Supply Chain Management. Students with strong background in operations research, optimisation, machine learning, and simulation approaches and interests in decision-marking problems in Transport, Logistics, and Supply Chain Management are welcome to contact him for PhD study opportunities. PhD studies with him also often requires good computer programming skills (Python, Julia, C++, R, Matlab, etc.). Students with strong interests in disruptive technologies (blockchain, digital twin, AI, IoT, etc.) are also welcome to his research team.

Current

3

Completed

3

Current

DegreeTitleCommenced
PhDThe Strategic Implications of Perceived Levels of 'Sea Blindness' in Australia's LNG Trade Dynamic2018
PhDAnalysis of Operational Risks in Container Shipping under the Impact of Blockchain Application2018
PhDBig Data-Driven Ship Route Planning2022

Completed

DegreeTitleCompleted
PhDOptimising the Operation of Cross-dock Centres from Short-term and Mid-term Perspective
Candidate: Allahyar Ardakani
2022
PhDCruise Shipping Network Analysis
Candidate: Maneerat Kanrak
2021
PhDIntegrated Vegetable Production Planning under Uncertainty
Candidate: Melvin Abedini
2021