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Production- and Logistics Management with ILOG - Advanced


Title: Production- and Logistics Management with ILOG - Advanced
Lecturer: Christoph Helbig
Lukas Meßmann
Lars Wietschel
Date: see Digicampus
Building/Room: see Digicampus
Contact: Lukas Meßmann

Content

In modern production and service networks, there are many dependencies that make it increasingly difficult and even impossible to make accurate statements about system behavior (eg how do the partners of a supply chain network interact?). Moreover, since humans and machines never behave in an exactly predictable way, these networked systems are also difficult to access for human intuition. With the help of mathematical modeling, decisions in a finite decision space, which is limited by linear (in)equations, can be optimized by software.

Within this seminar, various problems in the areas of production and logistics (see contents of the lectures: Produktion und Logistik, Production Management (Operations Management I), Supply Chain Management I) are analyzed by several students (2-5 students) together, modeled and solved with the help of methods of operations research. The optimization software "ILOG CPLEX Optimization Studio" from IBM is used to solve optimization problems.

Procedure

In a block course the students get an introduction to the theoretical basics of mathematical optimization and the ILOG CPLEX Optimization Studio. This is followed by the independent, approximately 3-month working time on a topic from the above areas (each supervised by a staff member of the chair). The seminar concludes with the group presentations of the results at the end of the editing time (end of the semester).

Prior knowledge of the course

Basic prerequisite for the seminar are good PC skills, analytical skills and the pleasure of getting familiar with a software tool. Knowledge of mathematical modeling, programming and the "IBM ILOG CPLEX Optimization Studio" are beneficial, but can be acquired during the course of the seminar.




More information:

Recommended semester: Master
Field of study: see module handbook
Duration: 3 SWS
Type: S - Seminar
Semester: every summer and winter term