Solving Scheduling Problems with Quantum Computing: a Study on Flexible Open Shop

Baioletti, Marco; Oddi, Angelo; Rasconi, Riccardo

doi:10.1145/3583133.3596420

Proceedings of the Companion Conference on Genetic and Evolutionary Computation 2023

DOI: 10.1145/3583133.3596420

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Solving Scheduling Problems with Quantum Computing: a Study on Flexible Open Shop

Marco Baioletti

Angelo Oddi

Riccardo Rasconi

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2024

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“…Other methods as presented in [13,33] could be an interesting field for further investigations. A more recent idea is the employment of quantum computing, as was investigated for similar problems, e.g., in [34]. • Parallelization: In the present work, parallel actions were introduced by hand as described in Section 4.2.2.…”

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A Toolchain for Automated Control and Simulation of Robot Teams in Carbon-Fiber-Reinforced Polymers Production

Körber,

Glück

2024

Applied Sciences

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This paper introduces, as a proof of concept, a tool chain for automated control and simulation of a robot team in the domain of production of carbon-fiber-reinforced polymers. The starting point is a CAD construction of a simple aviation component from which single cut pieces of carbon fiber, together withtheir properties, are extracted. Using this information and the layout of a given robot cell, various possibilities of assignments of cut pieces to grippers and robots or robot teams are determined. Subsequently, two approaches using an PDDL solver are introduced, with the goal of finding a scheduling for the lay-up process. Finally, the resulting process is simulated using a physics and rendering engine. The main purpose of this paper is to show the feasibility of such an approach; we do not concentrate on the optimization of single process steps and other details. Due to the modular structure of our approach, extensions and optimizations of the single blocks are easy to integrate. At the moment, digitization and automated control are little explored areas in the domain of production technology using pick and place processes in the aerospace industry. We think that our work will lead to further research in this direction.

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A Toolchain for Automated Control and Simulation of Robot Teams in Carbon-Fiber-Reinforced Polymers Production

Körber,

Glück

2024

Applied Sciences

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Solving Scheduling Problems with Quantum Computing: a Study on Flexible Open Shop

Cited by 1 publication

References 16 publications

A Toolchain for Automated Control and Simulation of Robot Teams in Carbon-Fiber-Reinforced Polymers Production

A Toolchain for Automated Control and Simulation of Robot Teams in Carbon-Fiber-Reinforced Polymers Production

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