Use our form
If you would like to apply for this position, please use the contact form on this page.
Please include a brief message with the nature of your request and we'll be in touch soon.
Topic: "Optimizing production execution planning in semiconductor with Constraint Optimization & AI"
With our headquarters in Dresden, we are strategically located in the largest center of microelectronic industries in Europe. As the capital of the German state of Saxony, Dresden is at the heart of “Silicon Saxony”, a term used to describe the region and its hundreds of microelectronics businesses.
Maintaining strong, collaborative relationships with local manufacturing companies and world-renowned universities (e.g. TU Dresden and HTW), Dresden is also the center of our R&D activities.
In addition to its high density of outstanding research institutions, Dresden is also well known for its history, beautiful baroque architecture, and broad collection of fine arts.
}', 21='{type=list, value=[{id=31544187646, name='MScha'}]}', 22='{type=number, value=1}', 24='{type=string, value=Unser Hauptsitz befindet sich in Dresden, der Hauptstadt des deutschen Bundeslandes Sachsen. Dresden ist das Herzstück von „Silicon Saxony“, Sachsens größtem Hightechnetzwerk und Europas größtem Mikroelektronikstandort.
Wir pflegen enge Kooperationsbeziehungen zu lokalen Fertigungsunternehmen und zu weltweit anerkannten Universitäten der Region (z. B. TU Dresden und HTW), wodurch Dresden das Zentrum unserer F&E-Aktivitäten ist.
Neben seiner hohen Dichte an herausragenden Forschungseinrichtungen ist Dresden auch für seine Geschichte, seine wunderschöne Barockarchitektur und seine große Sammlung an bildender Kunst bekannt.
}', 25='{type=string, value=Dresden (Deutschland)}', 26='{type=string, value=Dresden Headquarters}', 27='{type=string, value=Dresden (Deutschland)}', 28='{type=string, value=Germany}', 29='{type=string, value=Manfred-von-Ardenne-Ring 6}', 30='{type=string, value=01099}', 31='{type=string, value=Saxony}'}]Scheduling is the process of arranging, controlling, and optimizing work and workloads in a production process or manufacturing process. By doing so, it allows allocating plant resources such as machines and personnel efficiently. Its purpose is to minimize the production time and costs, by telling a production facility when to make, with which staff, and on which equipment. Manufacturing scheduling is an algorithmic planning method to balance production processes and purchase materials against orders and production targets. Traditional production planning uses a stepwise procedure to allocate material and capacity. Although being simple in preparation, this approach often turns out to be sub-optimal: It does not readily adapt to changes in demand, resource capacity or material availability. Elements of production are projected separately, and often material or capacity constraints are not considered sufficiently, leading to infeasible or sub-optimal plans.
Within the thesis or student project, you shall develop, analyze and compare schedule optimization techniques. Methods will be explored for different industries such as high-mix semiconductor or automotive. Data, parameters, a detailed process description as well as a simulation model of the area were worked out independently together with an industrial manufacturing partner of SYSTEMA, and will be provided to you.
Technologies: Constraint Solvers, R, Python, Java, Kotlin
If you would like to apply for this position, please use the contact form on this page.
Please include a brief message with the nature of your request and we'll be in touch soon.