By implementing full traceability, no-touch-automation and automated data flows, we can follow each individual item in time and space in our internal process flow using dedicated applications. This includes very detailed information from every process step in our internal production providing deep insight into the connection between product properties and processes/materials, all in an iteratively fashion, also including immediate notifications when deviations are detected, from e.g., smart analytics in terms of MVDA and/or ML/AI. We can for example monitor the energy consumption of each individual item in our whole production chain, not only historically, but in real time. This will of course enable us to also track energy consumption on order or machine level, enabling new optimization opportunities and raise awareness in energy consumption (/waste) in a broader sense. Since we also have full traceability all the way back to the raw materials used in the production process, we can also determine the exact chemical content of every product (even if you would find e.g., one random item on the floor) thereby enabling an efficient recycling process!

• How do you get the correct information, to the correct place, at the correct time?
• Can the data mesh concept and container applications help?
• The cross functional and lateral scope approach