Dr. Zaili Yang
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Dr. Zaili Yang

Professor
Liverpool John Moores University, United Kingdom

Highest Degree
Ph.D. in Marine Technology from Liverpool John Moores University, UK

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Biography

Dr. Zaili Yang is currently working as Professor, and Co- Director of Maritime Transport at Liverpool John Moores University, UK. He obtained his PhD in Risk Assessment and Decision Making of Container Supply Chains from same university in 2007. His employment history includes, Sessional Lecturer, Postdoctoral Research Assistant, Lecturer/Senior Lecturer, and Reader in Maritime Transport at Liverpool John Moores University, UK. He authored and co-authored 130 technical publications. He also received research grants from external funding bodies such as EU and UK research councils, totalling around £2m (£1m as the PI). He supervised 4 post doctoral researchers, 7 visiting scholars, and 11 PhD students, 11 PhD currently in his supervision. He is also member of editorial board, in number of journals. He is also serving as reviewer and referee in number of journals. He is member of number of committees. His research area focused on several issues such as Maritime Safety Assessment, Maritime Security Modelling, Human Reliability Assessment, Risk Based Maintenance Modelling, Quantitative Quality Control, Container Supply Chain Risk Analysis, Risk Based Multiple Attribute Decision Making, Uncertainty Modelling, Port Safety Assessment, Port Performance Measurement, Port Centric Logistics, Green Logistics, Transportation Adaptation to Climate Change, Inland Waterways and Intermodal Transport. Dr. Zaili Yang received honors include Eagle Prize awarded to Outstanding Potential Young Scholars in Maritime Research, Award of NW Regional KTP of year and finalist in KTP of year at Innovation 2012, Highly Commended Paper Award, Research Award, Highly Commended Paper Award, University Promising Research Fellowship, and Stanley Gray Fellowship.

Area of Interest:

Physical Science Engineering
100%
Risk Analysis
62%
Safety Management
90%
Maritime Operations
75%
Supply Chains
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Yang, Z. and J. Wang, 2015. Use of fuzzy risk assessment in FMEA of offshore engineering systems. Ocean Eng., 95: 195-204.
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  2. Rodrigues, V.S., S. Pettit, I. Harris, A. Beresford, M. Piecyk, Z. Yang and A. Ng, 2015. UK supply chain carbon mitigation strategies using alternative ports and multimodal freight transport operations. Transp. Res. Part E: Logist. Transp. Rev., 78: 40-56.
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  3. Pak, J.Y., G.T. Yeo, S.W. Oh and Z. Yang, 2015. Port safety evaluation from a captain's perspective: The Korean experience. Saf. Sci., 72: 172-181.
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  4. Karahalios, H., Z.L. Yang and J. Wang, 2015. A risk appraisal system regarding the implementation of maritime regulations by a ship operator. Maritime Policy Manage., 42: 389-413.
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  5. Alkhatib, S.F., R. Darlington, Z. Yang and T.T. Nguyen, 2015. A novel technique for evaluating and selecting logistics service providers based on the logistics resource view. Expert Syst. Applic., 42: 6976-6989.
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  6. Zhang, D., X. Yan, Z. Yang and J. Wang, 2014. An accident data-based approach for congestion risk assessment of inland waterways: A Yangtze River case. Proc. Inst. Mech. Eng. Part O: J. Risk Reliab., 228: 176-188.
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  7. Yeo, G.T., A.K. Ng, P.T.W. Lee and Z. Yang, 2014. Modelling port choice in an uncertain environment. Maritime Policy Manage., 41: 251-267.
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  8. Yang, Z., A.K.Y. Ng and J. Wang, 2014. A new risk quantification approach in port facility security assessment. Transp. Res. Part A: Policy Pract., 59: 72-90.
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  9. Li, K.X., J. Yin, H.S. Bang, Z. Yang and J. Wang, 2014. Bayesian network with quantitative input for maritime risk analysis. Transportmetrica A: Transp. Sci., 10: 89-118.
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  10. John, A., D. Paraskevadakis, A. Bury, Z. Yang, R. Riahi and J. Wang, 2014. An integrated fuzzy risk assessment for seaport operations. Saf. Sci., 68: 180-194.
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  11. Alyami, H., P.T.W. Lee, Z. Yang, R. Riahi, S. Bonsall and J. Wang, 2014. An advanced risk analysis approach for container port safety evaluation. Maritime Policy Manage., 41: 634-650.
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  12. Zhang, D., X.P. Yan, Z.L. Yang, A. Wall and J. Wang, 2013. Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River. Reliab. Eng. Syst. Saf., 118: 93-105.
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  13. Yeo, G.T., J.Y. Pak and Z. Yang, 2013. Analysis of dynamic effects on seaports adopting port security policy. Transp. Res. Part A: Policy Pract., 49: 285-301.
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  14. Yang, Z.L., S. Bonsall, A. Wall, J. Wang and M. Usman, 2013. A modified CREAM to human reliability quantification in marine engineering. Ocean. Engin., 58: 293-303.
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  15. Yang, Z.L., J. Wang and K.X. Li, 2013. Maritime safety analysis in retrospect. Maritime Policy Manage., 40: 261-277.
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  16. Yang, Z., A.K. Ng and J. Wang, 2013. Prioritising security vulnerabilities in ports. Int. J. Shipping Transp. Logist., 5: 622-636.
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  17. Pristrom, S., K.X. Li, Z. Yang and J. Wang, 2013. A study of maritime security and piracy. Maritime Policy Manage., 40: 675-693.
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  18. Pam, E.D., K.X. Li, A. Wall, Z. Yang and J. Wang, 2013. A subjective approach for ballast water risk estimation. Ocean Eng., 61: 66-76.
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  19. Nwaoha, T.C., Z. Yang, J. Wang and S. Bonsall, 2013. Adoption of new advanced computational techniques to hazards ranking in LNG carrier operations. Ocean Eng., 72: 31-44.
    CrossRef  |  Direct Link  |  
  20. Nwaoha, T.C., Z. Yang, J. Wang and S. Bonsall, 2013. A fuzzy genetic algorithm approach for analysing maintenance cost of high risk liquefied natural gas carrier systems under uncertainty. J. Marine Eng. Technol., 12: 57-73.
    CrossRef  |  Direct Link  |  
  21. Chen, S.T., A. Wall, P. Davies, Z. Yang, J. Wang and Y.H. Chou, 2013. A Human and Organisational Factors (HOFs) analysis method for marine casualties using HFACS-Maritime Accidents (HFACS-MA). Saf. Sci., 60: 105-114.
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  22. Yang, Z.L., D. Zhang, O. Caglayan, I.D. Jenkinson and S. Bonsall et al., 2012. Selection of techniques for reducing shipping NOx and SOx emissions. Transp. Res. Part D: Trans. Environ., 17: 478-486.
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  23. Lavasani, S.M.M., J. Wang, Z. Yang and J. Finlay, 2012. Application of MADM in a fuzzy environment for selecting the best barrier for offshore wells. Expert Syst. Applic., 39: 2466-2478.
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  24. Yang, Z.L., S. Bonsall and J. Wang, 2011. Approximate TOPSIS for vessel selection under uncertain environment. Expert Syst. Applic., 38: 14523-14534.
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  25. Nwaoha, T.C., Z. Yang, J. Wang and S. Bonsall, 2011. Application of genetic algorithm to risk-based maintenance operations of liquefied natural gas carrier systems. Proc. Instit. Mech. Eng. Part E: J. Process Mech. Eng., 225: 40-52.
    CrossRef  |  Direct Link  |  
  26. Nwaoha, T.C., Z. Yang, J. Wang and S. Bonsall, 2011. A new fuzzy evidential reasoning method for risk analysis and control of a liquefied natural gas carrier system. Proc. Inst. Mech. Eng. Part M: J. Eng. Maritime Environ., 225: 206-225.
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  27. Lavasani, S.M.M., Z. Yang, J. Finlay and J. Wang, 2011. Fuzzy risk assessment of oil and gas offshore wells. Process Saf. Environ. Protect., 89: 277-294.
    CrossRef  |  Direct Link  |  
  28. Karahalios, H., Z.L. Yang, V. Williams and J. Wang, 2011. A proposed System of Hierarchical Scorecards to assess the implementation of maritime regulations. Saf. Sci., 49: 450-462.
    CrossRef  |  Direct Link  |  
  29. Godaliyadde, D., G. Phylip-Jones, Z.L. Yang, A.D. Batako, J. Wang and M.M. Godaliyadde, 2011. A subjective risk management approach for modelling of failure induced ship vibrations. J. Marine Eng. Technol., 10: 3-16.
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  30. Yang, Z.L., S. Bonsall and J. Wang, 2010. Facilitating uncertainty treatment in the risk assessment of container supply chains. J. Mar. Eng. Technol., 9: 23-36.
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  31. Jones, B., I. Jenkinson, Z. Yang and J. Wang, 2010. The use of Bayesian network modelling for maintenance planning in a manufacturing industry. Reliab. Eng. Syst. Saf., 95: 267-277.
    CrossRef  |  Direct Link  |  
  32. Godaliyadde, D., L.B. Godaliyadde, G. Phylip-Jones, Z.L. Yang, A.D. Batako and J. Wang, 2010. A subjective multiple criteria decision-making approach for modeling ship hull vibration. Mar. Technol. Soc. J., 44: 25-42.
    CrossRef  |  Direct Link  |  
  33. Godaliyadde, D., G. Phylip-Jones, Z.L. Yang, A.D. Batako and J. Wang, 2010. A subjective risk-estimation approach for modeling ship hull vibration. J. Ship Res., 54: 95-108.
    Direct Link  |  
  34. Yang, Z.L., S. Bonsall and J. Wang, 2009. Use of hybrid multiple uncertain attribute decision making techniques in safety management. Expert Syst. Applic., 36: 1569-1586.
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  35. Yang, Z.L., L. Mastralis, S. Bonsall and J. Wang, 2009. Incorporating uncertainty and multiple criteria in vessel selection. Proc. Inst. Mech. Eng. Part M: J. Eng. Maritime Environ., 223: 177-188.
    CrossRef  |  Direct Link  |  
  36. Yang, Z.L., J. Wang, S. Bonsall and Q.G. Fang, 2009. Use of fuzzy evidential reasoning in maritime security assessment. Risk Anal., 29: 95-120.
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  37. Yang, Z., S. Bonsall and J. Wang, 2008. Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA. IEEE Trans. Reliab., 57: 517-528.
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  38. Hu, S., X. Li, Q. Fang and Z. Yang, 2008. Use of Bayesian method for assessing vessel traffic risks at sea. Int. J. Inform. Technol. Decis. Making, 7: 627-638.
    CrossRef  |  Direct Link  |  
  39. Godaliyadde, D., D.D.K. Godaliyadde, G. Phylip-Jones, Z.L. Yang, A.D. Batako and J. Wang, 2008. A subjective cost-benefit analysis approach for selecting ship propulsion systems. Marine Technol. Soc. J., 42: 69-86.
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