The European Union has looked to develop ICT systems that are open and interoperable. Through the case study of the Freightwise research project a research gap was identified: Is it possible to manage and plan co-modal freight transport without a centralised system? The adoption of software methodology and business process mapping enables the development and the validation of the Freightwise Framework for co-modal freight transport. The Framework divides the freight transport domain into manageable sub-domains and defines the main roles that need to interact as well as the necessary interactions in between these domains. The main roles identified are: the Transport User and the Transport Service Provider, supported by the Transportation Network Manager and the Transport Regulator. The Framework also defines a generic specification of a transport service and a small set of sufficient and necessary information objects that need to be exchanged between the four main roles. This paper explores the goal, context, methodologies utilised, results and validation in multiple business cases. The paper ends with reflections on how the results may be developed and implemented.
This chapter identifies the critical issues that must be addressed to accelerate the digital transition in the chartering market. The maritime industry is one of the pillars of global trade, where change is a constant. Again, shipping is at the cusp of a new era—one driven by data. The authors review the state-of-the-art technology that is useful to automate chartering processes. · The Fourth Industrial Revolution (or Industry 4.0) starts to change the bulk shipping markets leveraging the data flow between industrial processes in the physical and virtual world. · The internet of things accelerates data flow from things in the real world to the virtual world and enables us to control processes in real-time. Machine-to-machine communication, together with artificial intelligence, creates autonomous systems in many areas of production and logistics. Based on the gathered elements, eShip's case study was analyzed, and future steps have been defined for the data analysis in the shipping industry.
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