An Integrated Event-Driven Real-Time Tactical–Operational Optimization Framework for Smart Port Operations Planning

Danilo Abril, Carlos D. Paternina-Arboleda () and Jesus Velasquez-Bermudez
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Danilo Abril: Hypothalamus Ai, Inc., Miami, FL 33401, USA
Carlos D. Paternina-Arboleda: Department of Management Information Systems, San Diego State University, San Diego, CA 92182, USA
Jesus Velasquez-Bermudez: Hypothalamus Ai, Inc., Miami, FL 33401, USA

Logistics, 2024, vol. 8, issue 3, 1-37

Abstract: The ongoing issues in global supply chain disruptions have raised many concerns of port productivity, among which port congestion is a key issue. This article implements an integrated tactical–operational optimization framework which raises the capabilities of port information systems to deliver smarter decision-making processes in ports through a decision support system. To this end, we developed a library of multiple smart models for the optimization of port operations, independently engaged in parallel but mathematically coordinated to achieve autonomous real-time distributed optimization, using a novel event-driven structure to enable future implementations using digital twins. The framework was tested to benchmark different commercial solvers on several real instances for the port under study. The results show a strong improvement in port operational planning.

Keywords: enterprise-wide optimization; port optimization; smart ports; information system (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2024
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