NEW: Seminar - International Research on Supply Chain Management [M.WIWI-BWL.0155]: Design of digital production and assembly systems

Prof. Dr.-Ing. Francesco Pilati, Department of Industrial Engineering, University of Trento (Italy)
Prof. Dr. Matthias Klumpp

1. Course objectives and learning outcomes
The objective of this course is to provide the necessary competence for design and manage digital productions and assembly systems which are typical of the novel manufacturing environment known as Industry 4.0. Mathematical models and quantitative methods are proposed to tackle the different aspects which distinguish such complex industrial systems. Furthermore, Automod based simulations techniques are proposed to tackle the different aspects which distinguish such complex industrial systems and to let the students validate the design of production systems through dynamic evaluations over the time of their functioning. The course is part of the DAAD initiative IVAC and is based on a cooperation with the engineering department of the Trento University, Italy. Students from Trento University will also participate in the seminar.

2. Contents

  • Design production systems which implement digital technologies in their daily operations consistent with the paradigm of Industry 4.0 and the factories of the future
  • Dynamically simulate and validate the design of production systems, with a particular focus on the logistics and materials’ flow.
  • Basic and advanced programming using the simulation software Automod via live coding during the lectures.
  • Define proper key performance indicators to automatically and quantitatively evaluate the performances of monitored production systems over the time.
  • Asses the most relevant features of real time locating systems as digital technologies to enable the digital twin of smart production systems.
  • Develop a digital twin for the layout of considered production systems to compare and validate different scheduling algorithms and strategies through multi-scenario analysis.

3. Lectures Schedule

  • Monday 16:30-19:30
  • Wednesday 16:30-19:30
  • Kick-off on Thursday 15th of April 2021, 18:00-18:30

Lectures period goes from 19-04-2021 to 12-06-2021 for a total amount of about 30 hours. The lectures will also be available as recordings. The students' online attendance is mandatory for the kick-off meeting and the first lecture on the 19th of April.

4. Examination
To complete the course, students are expected to develop a groupwork simulation through Automod and a written report. Groups, composed of 2-4 participants, have to propose and to develop a real case study. The groups will be assigned randomly.

  • Groupwork Submission, June 21st (*)
  • Groupwork Discussion, June 24th (*)

(*) Deadlines and date may vary, and extra days will be added within end of July. Further communications will follow.

If you want to participate in the seminar please contact Beatriz Beyer ( You can register for this seminar until the 12th of April 2021 via Email.

5. Lecturer Biography
Francesco Pilati, Ph.D. Eng., is Assistant Professor at Department of Industrial Engineering - University of Trento (Italy) and Chair of Industrial plants, Production systems and Logistics. He is habilitated for the position of Associate Professor since 2018. He has been Visiting Scholar at Department of Industrial Engineering at Oklahoma State University (USA). He holds a PHD in Industrial Engineering obtained at University of Padova (Italy). He is Organizer and Chair of Invited Sessions entitled "Assembly System 4.0" for conferences of International Federation of Automatic Control (IFAC). He is Member of Technical Committee on Manufacturing Plant Control of IFAC. He has been Guest Editor of Special Issues for Springer and Taylor & Francis journals. He is co-author of more than 90 scientific publications. He is plenary speaker at the International Conference of Production Research, ICPR - Americas 2020, December 2020. His research concerns the design and management of production and logistics systems, through mathematical models with focus on digitization of production processes with technologies of Industry 4.0. He developed a camera-based hardware-software architecture to digitize industrial operator movements and evaluate ergonomic and productive performances.