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Concluding our three-part series, Patrick Chabot looks at how individuals from the plant floor to the office engage with and benefit from a repair bay data analytics system that’s integrated with the rest of the data collection and analysis from the production line.

With this installment, Patrick Chabot emphasizes that it takes more than tools and processes to turn the repair bay into an effective defect data management station to drive continuous improvement. Buy-in, from the corner office to the plant floor, is crucial.

In process testing and digital waveform analysis isn’t only for discrete manufacturing where each part is serialized. Ron Pawulski explores how it can also be used to improve yield and quality control in pharmaceutical and medical device batch manufacturing.

Remember that Jurassic Park character, Nedry, who built an IT system no one else could manage? Joe Ventimiglio discusses how machine builders can avoid this mess by not trying to scratch-build a data-driven quality assurance system for a customer.

Machine builders are always struggling to stay on budget, on schedule and on spec with their manufacturer customers. Joe Ventimiglio discusses how incorporating the data-driven quality management of Industry 4.0 into their builds can save them a lot of grief.

We give a primer on how comprehensive data collection from across the plant floor, coupled with digital process signature analysis, can achieve the sometimes contradictory goals of reduced production costs and improved quality.

Patrick Chabot argues why repair bay operations must be viewed as much more than a reactive function, with technicians waiting to address individual problems as they arise. Industry 4.0 demands a more proactive and holistic approach.

Collecting data isn’t the same as making effective and timely use of the data. Rob Plumridge discusses how manufacturers must invest in robust data management and analytics tools if they expect to achieve measurable gains in production quality and output.

Joe Ventimiglio discusses how SPC (statistical process control) remains an effective means for manufacturers to spot production problems, but for effective quality management and to quickly trace root cause, you need more – digital process signature analysis.

Even the tiniest air bubbles can ruin the integrity of a seal or adhesive and vision systems alone can’t spot trapped air. Aaron Alberts talks about how Sciemetric teamed with Graco to create a new data-driven quality assurance system for dispense to capture what a camera can’t.