Prescriptive Analytics Seminar
Teaching in winter term
A Zoom link for the kick-off meeting, and the presentation session will be made available via Moodle.
In this seminar, we investigate methods from the fields of data analytics and optimization (heuristic and exact) and/or use them to address planning problems in production, logistics, and agriculture. Topics include: Transportation planning, location planning, network optimization, territory design, warehouse planning, workforce scheduling, machine scheduling, vertical farming, robust optimization, constraint programming, machine learning and big data analytics. Some topics are developed together with industry partners of the chair, e.g., Deutsche Post DHL Group.
Basic knowledge of (i) linear programming, (ii) integer programming, or (iii) heuristic optimization methods is required. In addition, programming and data analytics skills are beneficial.
|Grading:||80% seminar paper, 20% presentation|