EURO 2025 Leeds
Abstract Submission

1723. Quantum Computing Optimisation for Maritime Logistics - Case Studies

Invited abstract in session MB-32: Seaside Planning-2, stream Maritime and Port Logistics.

Monday, 10:30-12:00
Room: Maurice Keyworth 1.09

Authors (first author is the speaker)

1. Anisa Rizvanolli
Fraunhofer CML
2. Valeria Bartsch
Fraunhofer Center for Maritime Logistics and Services
3. Joshua Dibbern
Fraunhofer Center for Maritime Logistics and Services
4. Oliver Szal
Ship and Information Management, Fraunhofer Center for Maritime Logistics and Services
5. Ole John
Ship&Information Management, Fraunhofer Center for Maritime Logistics and Services CML

Abstract

Over the past few decades, Fraunhofer CML has gained valuable insights from the maritime industry. Currently, critical business processes such as route planning, crew scheduling, cargo loading, yard management, and berth scheduling are often managed manually and based on experience. Given the complexity and operational significance of these tasks, there is a growing demand for decision support systems that can quickly deliver effective solutions. Quantum computing is expected to enhance optimization by improving both the quality and speed of of exploring large solution spaces inherent to logistics problems.
By reducing computation time quantum computers will enable real time calculations of complex problems with conflicting objectives and increase the resilience and efficiency in logistics. Therefore, it is important to investigate the opportunities of this emerging technology for solving combinatorial optimization problems. Many works in operation research present mathematical models and solutions algorithms for combinatorial problem in maritime logistics like network planning in liner shipping, maritime inventory routing, berth allocation and quay crane optimization. But only a few of them address real-world use cases and present hybrid (combination of exact solution and heuristics) or pure-heuristics methods to solve them.
In our presentation, we will explore relevant use cases in maritime logistics and examine advanced methods beyond QUBOs.

Keywords

Status: accepted

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