The answer to this question very much depends on how a smart port is defined. Current development of the concept has focussed on gathering and processing data that improves efficiency within port and maritime operations. Focus has been narrow, in part due to the limitations in coordinating data and information flows as a result of infrastructure issues. These issues range from digital bandwidth limitations and latency in data flow.
There are many examples of these narrow focus projects, including “just in time” shipping arrival systems, “voyage planning and weather routing ‘platforms. Progress has now drifted toward to machine learning platforms as larger and more accurate data sets become available. This has been made possible by broad development and acceptance of data tracking and sensing devices. This development is enhanced by the deployment of 5G technology that addresses the shortcomings that had previously restricted the transition to AI and smart ports, namely bandwidth and data flow latency.
What is missing in the debate, is the failure to understand that there has been a fundamental shift in supply chain and logistics as a new age consumer emerges. Focus has shifted from port-to- port transport to that of first and last mile cargo movements. With supply chains becoming increasingly digital in nature, cost savings and asset optimisation along the entire supply chain are now being sought. This would include ways to lower inventory / warehousing levels and use of portside cranes as data is used in end to end supply chain management systems.
What is the driver of this change?
Fundamentally, it is a recognition that ports operate within a supply chain ecosystem. Ports are no longer independent of what happens in the hinterland and the newly created economic zones surrounding the port. There is a recognition that IT and OT are separated by different technologies, skills, professional profiles, codes and standards. These differences created inefficient communication between IT and OT, reducing the use of control data on business applications. Inefficiencies reduces scalability of an IT intervention. As part of an ecosystem, there needs to be an operational interface between ships, wharf side activities, land-based transport and landside activities. In other words, it is an approach that looks to holistic optimisation of a supply chain by reducing operating expenses. The data feeding into algorithms is converted into actionable intelligence that can coordinate vessel arrival with availability not just of cranes to offload, but with train and truck for onward delivery. Theoretically this reduces the land footprint as efficiency reduces the need for large laydown and storage areas.
The emerging elephant in the room is the divide between the USA aligned systems versus the China based system being rolled out under the umbrella of the digital silk road. The debate over inclusion of Huawei’s 5G in IT infrastructure development has clarified this divide. The issues relate primarily to cyber-security around what system or platform is introduced. Many in the West rely on the USA’s GPS navigation systems within and open system as opposed to China’s BeiDou navigation system within a closed system. Whether there will be an eventual interface between the two will depend on the application programming interface (API) or electronic data interface (EDI) platforms that would enable the various data points to communicate with each other.
Despite this looming elephant in the room, there are still problems associated with data integration and interface. Part driven by technology differences, the lack of recognition of the new port ecosystem and clusters, still sees a dislocated digital supply chain and port network. These network silos may have created a form of individual smart port that may or may not have a communication interface with other ports. However, to get to the true smart port of tomorrow requires the integration of these initiatives into their supply chain ecosystems. Without this we do not achieve scalability in design and operations application, resulting in expensive isolated data silos.