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Effective supply chain management relies heavily on advanced computational methods to tackle complex optimization problems. Typically coming from large-scale applications, supply chain optimization problems demand robust mathematical approaches to improve efficiency and reduce costs.
This seminar focuses on computational methods used in supply chain optimization, with an emphasis on algorithms and models used in practice. Topics include mixed-integer programming and heuristic methods tailored to supply chain challenges such as transportation, production planning, and warehouse management.
Each student will be assigned a research paper focusing on a specific computational approach in supply chain optimization. You will be expected to prepare a presentation that explains the method in detail and answer questions on the topic. Additionally, you will submit a written summary and a critical review of the assigned paper.
This seminar will be co-hosted by Dr. Jakob Witzig, AI & Optimization Algorithm Architect at SAP's Supply Chain Optimization Unit.
To register, please write an email to t.berthold@campus.tu-berlin.de
