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Thesis/Internship: Comparison of Optimization-Algorithms for Energy-Aware Production Scheduling

vor 2 Monaten

Karlsruhe, Deutschland puerro - Jonas Wilz und Jonathan Engelhard Vollzeit

About Energy-Aware Production Scheduling and Production Control

Our AI-driven optimization software is designed to efficiently schedule production in response to fluctuating energy prices. By doing so, it not only helps lower energy costs but also reduces the greenhouse gas emissions associated with the production process.

The software takes into account the unique energy requirements of each product throughout its various manufacturing stages within the factory. Furthermore, it considers the variability of energy prices during the manufacturing process, which can be based on market exchange rates or forecasts for renewable energy generation.

Aufgaben

Comparison of Optimization-Algorithms

  • Comparison of our Genetic Algorithm agains others (Linear Programming, Reinforcement Learning)
  • Definition of benchmark cases
  • Implementation of possible improvements
  • Literature research on scheduling algorithms
Qualifikation
  • Programming experience (ideally: python)
  • Interest in energy and production processes in the industry
  • Ability to collaborate in an agile team environment
  • Good communication skills in German or English
  • Will, ambition and above all being able to joke around a bit
Benefits
  • Experiencing different phases of a start-up
  • Regular team events
  • Direct your own knowledge development
  • Flat hierarchies

If you are looking for an opportunity to shape our future sustainably then puerro is your place to be