Sappi case study: scaling Industry 4.0 tools in paper manufacturing
Third-party solutions, successful change management, and engaged leadership
Sappi, a world-renowned market leader in paper and packaging manufacturing, wanted to fast-track its Industry 4.0 strategy. Specifically, they wanted to find new discoveries that they could use for enterprise standards.
In just two years, Sappi has made tremendous strides in its digital transformation journey, rolling out to multiple plants around the world. Combining best-in-class advanced analytics software and company expertise, Sappi scaled from the pilot phase to a global rollout at numerous sites around the world. Their implementation has rapidly advanced their data enablement, leading to strong results in just two years.
Challenge
As part of their sustainability journey, Sappi needed a Cloud and Edge platform solution that enabled them to set governance standards at the enterprise level. They also wanted to equip their domain experts with data science tools.
Partnering with Braincube has been key in helping Sappi stay on track to meet an ambitious goal: building ~165 Digital Twins across 18 mills within a 3-year time period.
See how this global paper and packaging manufacturing company brought its Industry 4.0 tools to multiple sites around the world.
Paper and packaging manufacturers continue to face unprecedented scenarios in a competitive, ever-evolving market. Digital solutions can help paper and packaging companies solve their biggest challenges.Â
See IIoT helps packaging manufacturers address four common challenges to stay competitive and find continued success in this aggressive market.Â
Braincube has worked with paper and packaging manufacturers since our inception.
Read our other case studies and white papers to learn how our solutions help paper manufacturers use data to reduce cost, minimize waste, and gain market share.
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Introducing predictive analyticsDive deep into your processes to uncover hidden improvement opportunities. Detect patterns, prevent downtime, and reduce costs.
Introducing predictive analytics
Dive deep into your processes to uncover hidden improvement opportunities. Detect patterns, prevent downtime, and reduce costs.