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Projects in the Post Graduate School of Ulm University and Ulm University of Applied Sciences

THU > P11: Planning of Logistic Systems and Processes Based on Technical and Social Data Sources

P11: Planning of Logistic Systems and Processes Based on Technical and Social Data Sources

The planning of warehousing, order picking and transport is often accomplished based on a limited amount of data (e.g., handling frequencies, order numbers and stocks). In particular, this planning must consider the increasing need to deliver customer-specific product variants in small numbers as well as to cope with dynamic sales fluctuations. Taking the demand for highly-reactive and efficient deliveries into account, solutions for flexibly and properly coordinating logistics processes are required. In particular, these solutions should have access to a broad spectrum of data that include, for example, traffic data, data from social networks, information about marketing activities, product-related news, and weather data. In project P11, solutions utilizing such big data and allowing for the strategic and operative planning and enactment of logistics processes will be developed.

Supervisor and assignment

Assigned to:

Ulm University of Applied Sciences

Methods/technologies:	planning & reasoning, learning
Applications:	decentralised logistics, adaptive process management systems

Contact

For questions regarding the Post Graduate School of Ulm University and Ulm University of Applied Sciences, "Cognitive Computing in Socio-Technical Systems", please contact the project leaders Prof. Dr. Manfred Reichert and Prof. Dr. Christian Schlegel.