Philipp Schworm
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Evaluation of Quantum Annealing-based algorithms for flexible job shop scheduling Open
A flexible job shop scheduling problem (FJSSP) poses a complex optimization task in modeling real-world process scheduling tasks with conflicting objectives. To tackle FJSSPs, approximation methods are employed to ensure solutions are with…
Transferable multi-objective factory layout planning using simulation-based deep reinforcement learning Open
Factory layout planning aims at finding an optimized layout configuration under consideration of varying influences such as the material flow characteristics. Manual layout planning can be characterized as a complex decision-making process…
View article: Engaging human-centered design to maintain part manufacturing under reduced workforce restrictions
Engaging human-centered design to maintain part manufacturing under reduced workforce restrictions Open
A central element of industrial production is the manufacturing of finished parts from raw material. Even in highly automated environments, processes like milling still rely on human intervention. On-site human operators play a crucial rol…
Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing Open
Flexible Job Shop Scheduling (FJSSP) is a challenging optimization problem with multiple conflicting objectives used to model and compute real-world process scheduling tasks. In order for a manufacturing system to remain competitive, it is…
Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing Open
Flexible Job Shop Scheduling (FJSSP) is a complex optimization problem crucial for real-world process scheduling in manufacturing. Efficiently solving such problems is vital for maintaining competitiveness. This paper introduces Quantum An…
Transferable multi-objective factory layout planning using simulation-based deep reinforcement learning Open
Factory layout planning aims at finding an optimized layout configuration under consideration of varying influences such as the material flow characteristics. Manual layout planning can be characterized as a complex decision-making process…
Energy supply scheduling in manufacturing systems using Quantum Annealing Open
Optimizing a manufacturing company's in-house energy demand amidst fluctuating electricity prices and uncertainties in renewable energy supply as well as volatile manufacturing planning situations is a challenging task. To tackle this issu…
Responsiveness to sudden disturbances in manufacturing through dynamic job shop scheduling using Quantum Annealing Open
An efficient production planning and control is inevitable for the economic operation of a manufacturing system. As an essential part of production planning and control, process scheduling aims to assign processes to the available resource…
Multi objective factory layout planning using simulation-based reinforcement learning Open
Factory layout planning aims at finding an optimized layout configuration under consideration of varying influences such as the material flow characteristics. Manual layout planning can be characterized as a complex decision-making process…
Service provision process scheduling using quantum annealing for technical product-service systems Open
Service provision processes in technical product-service systems (PSS) should be scheduled before they are performed according to the real process conditions. Incorrectly scheduled service provision processes will result in value losses fo…
An approach to Quantum Annealing-based workforce assignment in manufacturing systems Open
Workforce assignment (WA) is a crucial aspect of production planning and control. However, current global crises have led to workforce absence and skill shortages. To tackle these challenges, a short-term WA approach is necessary for manuf…
Responsiveness to sudden disturbances in manufacturing through dynamic job shop scheduling using Quantum Annealing Open
An efficient production planning and control is inevitable for the economic operation of a manufacturing system. As an essential part of production planning and control, process scheduling aims to assign processes to the available resource…
Solving flexible job shop scheduling problems in manufacturing with Quantum Annealing Open
Quantum Annealing (QA) is a metaheuristic for solving optimization problems in a time-efficient manner. Therefore, quantum mechanical effects are used to compute and evaluate many possible solutions of an optimization problem simultaneousl…
Quantum Annealing based factory layout planning Open
Inadequately planned factory layouts can lead to higher operational costs. The planning process is time-consuming and multiple planning parameters must be considered simultaneously, leading to large solution spaces. Automated planning appr…