Data analytics for sustainable manufacturing

  • Subject:Industry Thesis @ Bayer AG
  • Type:Master's thesis
  • Date:vergeben
  • Supervisor:

    Joshua Holstein

  • Links:PDF
  • Background:

    In the last decade, climate change has increasingly become the focus of society and relevant decision-makers in politics and business. Therefore, decision-makers strive to reduce the consumed energy to limit the environmental impact of their organizations. The impending gas shortage - and the associated energy bottlenecks - further exacerbate these efforts. Companies are therefore now intensifying their attempts to identify starting points for energy savings. To this end, for example, data collected as part of Industry 4.0 measures can be used to uncover and subsequently avoid potential energy wastage.

     

    Research Goal:

    In this thesis, data from a pharmaceutical packaging line will be analyzed in cooperation with Bayer AG in order to identify potentials for saving energy. In a first step, relevant signals describing energy consumption will be evaluated. Based on these signals, the energy consumption will be quantified. Finally, solutions are to be developed in collaboration with domain experts in order to sustainably reduce energy consumption.

    Working on this thesis you will:
    • apply your theoretical knowledge to a practical use case in the context of sustainable manufacturing.
    • become an expert in data analytics and ML.
    • work directly with domain experts to improve the environmental impact of manufacturing lines.

     

    We look forward to receiving your application because you...
    • have solid programming skills in Python
    • have experience with state-of-the-art ML and data analytic methods – or are willing to learn quickly
    • team orientated and highly motivated
    • want to gain first-hand experience solving real-world problems

     

    Details
    • Start: September/October
    • Duration: 6 Month
    • Salary: Yes
    • Location: Bayer AG, Remote or nearby Grenzach-Whylen


    We offer you a challenging research topic, close supervision, and the opportunity to develop practical and theoretical skills. If you are interested, send your CV, transcript of records, and a brief letter of motivation to Joshua.Holstein@kit.edu.