P. Fahim
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Maritime ports are an integral part of global trade and the supply network system. An upcoming paradigm for innovation in this system is that of the Physical Internet (PI). This highly advanced way of shipping will present a very different logistics environment with respective challenges for maritime ports. For those investing in or operating port systems, it is important to understand whether different service quality aspects will be important in this future system, compared to today. Our paper deals with the port performance evaluation and selection problem. Although it has been studied extensively in a contemporary context, there has been no exploration of the criteria and preferences of decision-makers in the future shipping environment of the PI. Our objective is to define these criteria and explore their weighting in this new context. We propose two distinct autonomous decision-makers for port performance evaluation and selection in the PI: intelligent containers and vessels. We identify future port performance evaluation and selection criteria, and analyse their weighting based on an expert survey, complementing the extant literature on port performance evaluation and selection and the PI. We use the Bayesian Best-Worst Method (BWM) to derive weights for the criteria. We find that, compared to the current port performance evaluation and selection literature, in a first stage in the modelling of intelligent agents’ performance preferences, subtle differences in weights mark the step from the present towards the PI. Partly, this is reassuring for port authorities as they can manage largely the same set of performance indicators to be attractive for both decision-makers. However, the results also show differences between agents, with an increased importance of, in particular, Level of Service, Network Interconnectivity, and Information Systems.
The Physical Internet (PI), a new vision for the future of the global freight transport and logistics system, describes a geographical hierarchy of interconnected networks of networks, from the urban, to the national, the continental, and the global level. Like today, in PI the maritime ports will fulfil roles as continental and global hubs. Differently than ports today, however, decisions to split and bundle cargo across ships and other modes will not be made solely on the basis of long-term agreements by ports, but rather ever more dynamically and in real-time, aiming to reconsolidate shipments within the port area. This implies a need to reconsider the currently used information systems (ISs), and to gain understanding of future requirements to satisfy their needs. We exploit a design science research (DSR) approach to shape these requirements. Among the many components of future ISs, we study ports’ track-and-trace (T&T) capability. The proposed information architecture (IA) enables to integrate T&T capability in PI ports by means of information carried on PI containers into the logistics chain via an open interface platform, which also supports interoperability among the various actors’ ISs. The design is based on the Reference Architecture Model for Industry 4.0 (RAMI 4.0). This model supports the analysis of PI ports in key dimensions along with hierarchical logistics entities, which could be used as a blueprint for IAs of PI ports, globally. We provide insights into the approach's applicability by means of the illustrative case of Teesport, located in Northeast England (United Kingdom).
The Physical Internet and Maritime Ports
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