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Microsoft and Jabil Partner to create quality assurance platform for predictive analytics

By CIOReview | Monday, May 9, 2016

FREMONT, CA: In a major announcement made, Microsoft Corp. announced Jabil, a design and manufacturing solution provider has built its predictive analytics solution on Microsoft Azure Machine Learning at the Hannover Messe industrial fair. With this collaboration, the new platform will be able to forecast errors or failures on the assembly floor before they actually take place, ensuring stability in customer’s time and money whilst delivering better quality and abridged product lead times right through the entire supply chain.

To encompass the whole globe Jabil has started the implementation of the platform in two of its big sites in Penang, Malaysia, and Guadalajara, Mexico. “Since deploying the Microsoft predictive analytics solutions we have seen at least an 80 percent accuracy rate in the prediction of machine processes that will slow down or fail, contributing to a scrap and rework savings of 17 percent. As our customers constantly look for ways to innovate, it is very impactful to show them a predictive solution that will ensure quality and increase their speed to market.” said Clint Belinsky, Vice President, Global Quality, Jabil.

The collaboration display at Microsoft Booth at Hannover Messe 2016 conveyed that Jabil is using Microsoft Azure services to analyze endless data from machines running numerous steps during the manufacturing process. “Jabil’s digital transformation on the factory floor will reshape its industry,” said Jason Zander, corporate Vice President of Microsoft Azure at Microsoft.

Jabil can help forecast breaches and failures earlier through Azure Machine Learning. Apart from reducing time and costs, Jabil can extensively make alterations based on calculations, removing the requirement for pointless inspection that results in downtime. “As product cycle times shorten and products get smarter, Jabil understands how the intelligent cloud combined with predictive analytics will help it support the needs of its customers,” said Zander.