• Case Studies
2min August 23, 2022 2min Aug 23, 2022
August 23, 2022 2 minute read

Customer Spotlight: Kimberly-Clark

Automating continuous improvement with 4.0

As a leading manufacturer of paper and personal care products, Kimberly-Clark continuously strives to innovate ways to improve production.

When Covid first hit around the world, tissue product buying increased by at least 40%. And with more than 99% of tissue products being manufactured in the United States, there were increasing demands for tissue manufacturers, especially Kimberly-Clark.

By tapping into the power of an IIoT platform, ready-to-use applications, and data science, they were able to reduce downtime and improve their yield.

In this case study, learn how Kimberly-Clark was able to leverage their Digital Twin data to build a predictive data model to optimize processes with high accuracy.

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“What would have taken hours of work going through 4,000 different data tags that we use on our machine, we’re able to do in just a few clicks.”

Tyler Shirley, Asset Development, Electrical Engineer at Kimberly-Clark

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4 Ways to Use IIoT to Solve Packaging Manufacturing Challenges

In this on-demand webinar, learn how data-driven decision-making helps the world’s top packaging manufacturers optimize OEE, meet quality standards, reduce unplanned downtime, and achieve cost savings. 

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Improving reliability in paper manufacturing

Use this guide to learn how paper and packaging manufacturers can improve reliability by scheduling more efficient planned downtime, better condition monitoring, and more with Industry 4.0 tools.

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The Green Route: Sustainability in paper

Learn how IIoT helps global paper, tissue, and packaging manufacturers meet the sustainability demands of consumers and regulations in this white paper.

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