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Bachelor's or Master's Thesis: Overcoming Barriers to Implementing Predictive Maintenance in the Manufacturing Industry - Remote

Posted 19 weeks ago
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Internship
Worldwide

Overview

This internship focuses on identifying and overcoming the challenges faced by companies in implementing predictive maintenance solutions in the manufacturing industry.

In Short

  • Identify main challenges in implementing predictive maintenance.
  • Evaluate and prioritize obstacles based on relevance.
  • Develop theses to overcome these barriers.
  • Validate theses with practical partners.

Requirements

  • Studying (Industrial) Engineering, (Business) Informatics, Business Administration, or similar.
  • Excellent German and English language skills, both written and spoken.
  • Independent, committed, careful, and goal-oriented work style.
  • Proficient in common MS Office programs.

Benefits

  • Insights into the industry and research business with renowned companies and partners.
  • Interesting, challenging, and varied tasks in a qualified and dynamic team.
  • Flexible scheduling and independent work opportunities.
  • A modern, collegial, and digital work environment.
  • Room for creativity and personal development.

Translated from German

FIR e. V. an der RWTH Aachen logo

FIR e. V. an der RWTH Aachen

FIR e. V. at RWTH Aachen is focused on the realization of Industry 4.0, emphasizing the technological foundation necessary for companies to thrive in this new industrial paradigm. The company highlights the importance of integrating various information and value creation technologies on the shop floor and office floor systems, such as ERP, to successfully implement Industry 4.0 initiatives. Prioritizing planned measures based on their benefits to the organization is a key aspect of their approach.

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