In the era of Industry 4.0, the complexity of manufacturing systems has increased significantly, making the task of restarting a process after a failure more challenging. Instead of restarting the entire process, there is a growing need to restore the process to its previous state, which can be a quicker and more efficient approach. However, performing maintenance tasks accurately and efficiently is not easy, as they often involve numerous intricate steps. 

To address these challenges, this thesis focuses on the development of a guideline to support operators in performing corrective maintenance tasks. The primary goal is to provide operators with guidance and assistance throughout the process of restoration, minimizing human error and improving overall efficiency.

The thesis initially explores research on generating automated steps for reversing manufacturing processes. While the research phase did not yield a definitive solution, valuable insights were gained. The thesis then shifts its focus to the practical implementation of a guideline that can be displayed on the Human-Machine Interface (HMI) of a Plug & Produce robot cell. The guideline is designed to provide step-by-step instructions to operators, ensuring they follow the correct sequence of actions to restore the process.