Using Process-Oriented-Grouping and Linear Algebra to Optimize Resource Management

• Published in: 2019 Integrated Communications, Navigation and Surveillance Conference (ICNS) pp. 1 - 10
• Main Authors: Koch, Tobias, Deutschmann, Andreas, Moller, Dietmar P. F.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2019
• Subjects: Airports; Linear algebra; Process control; Resource management; Security
• ISSN: 2155-4951
• DOI: 10.1109/ICNSURV.2019.8735110

Airport operation gets more complicated due to the increasing interconnectivity of the infrastructure and the dependency on advances in information and communication systems. There exist a manifold of different reasons for system failures of devices starting from short-circuits, hardware defects or malware infections reaching to power shortages or complete blackouts. Moreover, the increase of the number of devices within the airport infrastructure system leads to a tremendous demand of computational assistance systems for operations management. As most devices within the airport are directly connected to processes, there is a high demand for identifying and managing system failures immediately and increase the system resilience. Thus, we introduce process-oriented-grouping of network devices and use linear algebra to relate the impact of system state changes to airport processes, such as check-in, security checks et cetera. This connection between system state and processes is inevitable for a successful combination of computational approaches to determine physical state variations, induced by power grid instabilities and/or cyber-attacks, and process oriented simulation methods. Matrix relations between system states, process capacities, waiting times are given and applied to a small, at this state fictional airport infrastructure. This application shows that forecasting of quantitative values for airport processes is a beneficial tool for airport infrastructure management. Moreover, linear algebra properties prove to be a strong tool in analyzing network properties, such as infrastructure diversity and process capacities, which play a major role within resource management. However, at the moment our approach is only suitable as a supporting tool for human decision making. Nevertheless the approach can be enhanced as intelligent health monitoring system for airports.