Selected Problems in Business Administration [M.WIWI-BWL.0141]: Seminar in Industrial Planning

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

Training Objectives and Expected Learning Outcomes
The objective of the seminar is to provide students with the necessary competences for the design, installation, and management of industrial plants in order to maximize their technical and economic performances using appropriate mathematical models. Starting from the analysis of the target market, the course analyzes the choices dealing with the economic evaluation of the entire initiative as well as the development of alternative configurations for the production system.

Seminar Program

  • Introduction to industrial plants.
  • Analysis of market demand and quantitative methodologies for its forecasting.
  • Linear regression and correlation between market demand and economic indicators.
  • Classification of costs for industrial plants: fixed and variables.
  • Influence of time on fixed costs: depreciation.
  • Criteria for assessing the profitability of industrial investments: NPV, IRR, PAYBACK.
  • Analysis of the final product and production quantities of an industrial plant.
  • Classification of machines and operators categories for industrial plants.
  • Mathematical models for determining the number of machines in production systems.
  • Mathematical models for determining the number of operators in production systems.
  • Quantitative techniques for production leveling.
  • Calculation of the stage potential for the different production process phases.
  • Determination of the space required for the production activities of an industrial plant.

Teaching Methods Used and Learning Activities Required of the Student
Theoretical lectures include numerical cases, applications and exercises to ensure the student familiarity with the described design methods for production systems. Industrial case studies will be tackled during the seminar to propose the practical effects of the lecture topics within the modern manufacturing companies. A teamwork will be organized where the students will be able to try their hand at the practical application of the learned notions to quantitatively solve a company-derived industrial plant problem.

Assessment Methods and Evaluation Criteria
The final examination of the seminar is defined by a technical written report and an oral presentation of the teamwork developed by the students.

Organization Details

  • Online Lectures: 9, 13, 16, 20 November 2020 all from 14:00 to 17:00 through Zoom.
  • Online meetings and Q&A sessions: available upon student request
  • Deadline for project submission: 12 February 2021
  • Online presentation and discussion of project: 19 February 2021 at 9:00 through Zoom.

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.