Automated 3D inspection

inspection. In addition, the technology incorporates AI to deliver the accuracy required for ultra-fine pitch and solder joint interreflection challenges to enhance production. It also features KSMART, a measurement-based process analysis solution that allows for Industry 4.0 implementation with reliable full 3D measurement data. Graham Tonkin, Sellectronics Director of Sales and Marketing, said: “Due to the precise and quantifiable measurement of the Koh Young platform, and by exploiting KSMART statistical process capability, our engineering process improvement and quality teams can aggregate real time production information. This not only removes the chances of an escape, but also to study our production processes in detail to improve our yields and drive our quality standards ever higher.” 8 sellectronics.co.uk

Industry 4.0 machine monitoring software from FourJaw is helping Westley Plastics improve its production efficiency.

The company, which specialises in cast-nylon and plastic components, has improved cycle times and achieved more consistent and efficient 24/7 production after adopting the smart technology, which has given the company greater visibility of its manufacturing process.

Westley Plastics is a family-run business that specialises in taking engineering plastic products from concept and design to final manufacture, utilising its on-site design, casting and CNC machining facilities. It works across several heavy industrial sectors including construction, defence, automotive, rail and steel.

The company operates 24 hours a day, but it wasn’t evident whether machine utilisation and productivity were consistent throughout any 24-hour period. It was agreed that greater visibility of the shop floor through machine monitoring would enable it to identify capacity and cycle times and help to focus the workforce on the processes that required and benefited most from their skills.

FourJaw’s manufacturing analytics platform, which works on machines of all types and ages, enabled the business to identify machine downtimes and understand the reasons behind the stoppages. Machine monitoring has also identified and improved cycle times. The team had previously discussed running