HANNOVER MESSE 2019,
01 - 05 April
Flexibility and Interoperability is becoming - in addition to price and quality strategies - an increasingly important competitive factor. Overall objective of this project is to research approaches for a distributed optimisation algorithm for dynamic job shop scheduling problems in massively distributed, agile production environments with stochastic properties. The research software prototype to be developed will be based on mathematical programming (integer programming and langrange relaxation), combinatory auction protocols, and metaheuristic optimisation based on variable neighbourhood search. The project is based on several finished projects and existing expertise: priority rule based production control with automated rules synthesis, meta-heuristic optimisation algorithms as well as integer programming to solve combinatorial optimisation problems.
In the project ShowMe we develop with a partner of the automotive industry a virtual and intelligent assistance system for assembly tasks. It serves to increase ...
Optical quality control goes beyond good/bad-decisions. PROFACTOR develops control systems that learn from human decision making. Machine learning for machine vision ...
The industry is dependent on robotic solutions that can not only cope with new variants of a task in a flexible manner, but can also fulfill a wide range of tasks. ...
Which production step is the individual employee currently in? How does he/she act at assembly stations and workbenches and with what strategy does he/she solve ...