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Fachhochschule Dortmund

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The Logistics Innovation Lab (LogILab) at Fachhochschule Dortmund is a state-of-the-art learning and research environment that offers students and researchers practical insights into the future of logistics and digitalization. Here, innovative technologies can be experienced and tested in an application-oriented manner.

The smart laboratory environment features both traditional logistics and production systems - such as picking racks, roller conveyors and assembly and packing tables - as well as state-of-the-art Industry 4.0 and IoT technologies.
Self-driving transport vehicles such as the Weasel Lite transport goods between workstations, while barcode scanners and multi-code readers ensure precise identification of orders and containers. Sensors, including laser distance meters, monitor environmental conditions in real time. A SCADA and ERP system ensure seamless data processing and form the basis for a digital twin of the processes. In addition, the MotionMining system enables data-based analysis and optimization of ergonomics and process efficiency.

Sensors, information systems and a driverless transport vehicle support the processes in the LogILab

The LogILab builds a bridge between theory and practice and combines classic logistics processes with digital, self-controlling systems. Through continuous further development, it creates a state-of-the-art research environment that optimally prepares specialists for the challenges of modern logistics.

LogILab - where logistics meets digitalization.

Equipment

Industrial sensors record status data of the logistics system
  • Logistics and production equipment: Picking rack, roller conveyor and assembly and packing tables for mapping basic processes
  • Automated guided vehicle system (AGV): SSI Schaefer Weasel Lite for automated conveyor technology between workstations
  • ERP and MES system: Odoo for corporate and production planning and control
  • Real-time data processing (SCADA system): Apache StreamPipes for the acquisition, analysis and visualization of sensor data in real time
  • Industrial sensors: IO-Link-based multi-code readers, distance sensors and light barriers from IFM/Autosen for seamless process monitoring
  • Motion mining technology: measurement sets for recording and optimizing employee movements (ergonomics and efficiency)

Service & Offer

Students learn about the interplay between logistics and digitalization in the LogILab

For students

  • Practical teaching
    The LogILab is used as a learning environment in the context of logistics fundamentals and IT topics. Students experience the theoretical content in real systems and processes.
  • In-depth seminars
    In seminars, students can independently plan, implement and analyze logistics processes in order to identify correlations and optimization potential.
  • Thesis and project work
    The LogILab offers extensive opportunities to work on practical issues. Students can independently develop solutions and validate them directly on site. Topics for final theses and project work can be found on the personal pages of the contacts listed below.

For companies

  • Training courses and workshops
    We offer training courses on current logistics topics - from the digitalization of logistics processes to sensor integration and self-controlling systems.
  • Counseling and conception
    The LogILab team works with industrial, retail and logistics companies to develop customized concepts and solutions that can be tested and adapted directly.
  • Publicly funded research
    Together with companies and other partners, LogILab participates in publicly funded research projects (e.g. EU, federal or state level) in order to advance innovative topics.

We work together with partner research institutions and universities.

Contact

Notes and references

Photo credits

  • Yakov Braz | Yakov Braz
  • Fachhochschule Dortmund | Benedikt Reichel
  • Cirullies | Cirullies
  • Fachhochschule Dortmund | Benedikt Reichel
  • Fachhochschule Dortmund | Florian Freimuth
  • externer Fotograf | Sabrina Peters
  • FH Dortmund | Florian Freimuth

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