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Sharing the future in packaging
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Productivity increase by AI-assisted Packaging Automation
What is PAIPA?
PAIPA explores the fundamentals of using AI assistance tools to improve the man-machine interaction at packaging machines.
Companies that participate as a project team member will have first-eye access to all the results and insights discovered already from the start of the project in November 2026.
Which challenges are addressed in PAIPA?
Productivity loss due to 'imperfect' change-over from product run A to product run B between different consecutive runs at the same packaging machine by the same operator.
Productivity loss due to 'imperfect' change-over to new operator, from operator I to operator II, with the same product runs.
Quality improvement c.q. risk-mitigation related to errors resulting from 'over-experienced' confident senior operators and/or 'novice' nervous new operators .
Which are the central PAIPA research questions?
How can (Gen)AI that is implemented at the man-machine interface, decrease/prevent the productivity loss associated with the 'imperfect' change-over between different consecutive runs at the same packaging machine by the same operator?
How can (Gen)AI that is implemented at the man-machine interface, decrease/prevent the productivity loss associated with the 'imperfect' change-over to new operator between (or during) same run at packaging machine?
Where does the PAIPA research take place?
The research will be executed at a unique facility, specially created for PAIPA, at the Brainport Industries Campus (BIC) in Eindhoven, The Netherlands. Eindhoven is one of the Europe's largest technology hubs in machine innovation. The facility enables the controlled and monitored execution of packaging operations. This facilitates the studying of the interaction between an operator and the machine in a structured, analytical manner.
The BIC is perfectly ac...