Affinity matrix assesses digital twin factors in Spanish ports for informed decisions

ABSTRACT

Digitalization has drastically changed the way businesses and industries operate, and ports are no exception. The digitalization of ports involves the adoption of digital technologies to optimize the management of port operations, improve efficiency and reduce costs. One of the most exciting developments in the digitalization of ports is the creation of digital twins. In the case of ports, a digital twin is a virtual replica of port operations, using real-time data to simulate and optimize port processes. Digital twins are created using technologies such as the Internet of Things (IoT), artificial intelligence (AI), and augmented reality (AR). For example, sensors installed in the port can collect real-time data on traffic flow, workload, and the status of port equipment and infrastructure. This data is used to create a virtual replica of the port that can be used to analyze and improve the performance of port operations, allowing port managers to make more informed decisions and optimize port processes. In addition, digital twins can be used to simulate different scenarios and make accurate predictions about the impact of changes on port operations. The aim of this paper is, using an affinity matrix, to evaluate the relationship between the different factors of digital twins in the Spanish port system and to use it as a guide and aid to decision-making.

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