Smart ports

Contact Email:
Dongping.Song@liverpool.ac.uk

T.Bektas@liverpool.ac.uk

Description:

Applying machine learning techniques and optimisation methods to improve operational efficiency for port yard operations and reduce carbon emissions at container ports.
Maritime transport and logistics; Container shipping supply chain; Empty container/vehicle repositioning; Port operations management; Rail terminal management; Emission analysis and reduction.
Application of mathematical modelling and optimisation techniques to problems arising in freight transportation and distribution planning, and in supply chain networks, with a particular focus on improving the environmental performance, including maintenance planning in sea vessels and last-mile distribution in cities.
Next-generation ports, shipping, hinterlands, crowdshipping, alternative fuels and energy management

Projects:
EPSRC funded project “Digitalisation and GHG emission reduction at container ports” collaborating with the port of Felixtowe. (Dongping Song)     Modelling and Optimization for Flexible Berth Allocation Systems at Container Ports under Uncertainty ROYAL SOCIETY (Dongping Song)  Emission control and sustainable energy in green port development. BEIS (Dongping Song)
List Of Facilities:
Operations and Supply Chain Management Group     Centre for Supply Chain Research