FOSTER-Project: Metaheuristics for Scheduling with Lot Streaming
The student research project "Development of metaheuristics for scheduling with lot streaming" is part of the Funds for Student Research (FOSTER) program. Two students will develop solution methods for a current problem in flow scheduling with technical support from members of the professorship.
Scheduling is one of the most relevant planning tasks in operations management and describes the sequencing of jobs on machines. In practice, so-called hybrid flow shops (HFS) are often found, i.e. production lines in which several machines are available in the individual production stages. This means that, in addition to the sequence of the jobs, the jobs must also be assigned to the individual machines. The use of lot streaming, i.e. the early transfer of sublots to subsequent production stages, can increase efficiency. However, traditional planning approaches are usually unable to solve the complexity of this planning task. Therefore, the use of metaheuristics can offer a promising alternative to find a good solution in a reasonable time. As part of this student research project, solution algorithms for this problem will be developed and evaluated. These algorithms can enable higher productivity and efficiency in industrial production in the future. The aim is to publish the results in a scientific paper.
FOSTER is part of the excellence strategy "TUD 2028 - Synergy and beyond" (EXU focus TALENT) and promotes student research and gives it visibility.
Project duration
01.01.2024 - 30.04.2024
Responsable staff
Dr. Janis Neufeld
Daniel Zähringer
Max Hubmann
Markus Höfling