International Journal of Swarm Intelligence and Evolutionary Computation

Abstract

Material Flow Resource Optimizations Using Solutions of Logistics Optimization on Quantum Computing

Raphael Pfister, Gunnar Schubert and Markus Kröll*

The complexity of industrial logistics and manufacturing processes is constantly increasing. Quantum computing, a key technology of the coming decades, is expected to excel in solving combinatorial optimization problems better than traditional methods. This study reviews current quantum optimization applications in logistics and transfers a vehicle routing use case to a new matrix production use case for resource-efficient material flows. Simulations were conducted on a local quantum simulator using the Quantum Approximate Optimization Algorithm (QAOA) algorithm, achieving optimal results. The theoretical material flow model, created for testing, is based on multiple assumptions and needs adaptation and extension for practical application.

Published Date: 2024-06-28; Received Date: 2024-05-29