Challenge
A German mid-volume manufacturer of tooling systems with around 400 employees faced the challenge that planning data for production as well as upstream and downstream areas were inaccurate and core data was incorrectly maintained. As a result, planning stability was lacking and deadlines could often not be met.
Solution
A regression/machine learning algorithm has been developed to accurately predict operation durations based on operation and PDC information.
Added value
Highlights