Tissue mills many critical decisions still rely on individual knowledge, manual analysis, and reactive troubleshooting. As experienced personnel retire and operational complexity increases, manufacturers face growing pressure to preserve expertise, reduce variability, improve reliability, and make faster decisions using the enormous amounts of data they already have.
In this webinar, Kathleen Kay De Regla and Nina Yu from Arbex’s Millicent Mill share some practical examples of how their team transformed existing historian data into actionable insights across converting, maintenance, and tissue machine operations. By combining process knowledge with operational data, they improved asset performance, reduced engineering effort, and uncovered opportunities that were previously hidden in years of historical records.
Arbex is the new independent joint venture formed by Kimberly-Clark and Suzano for international tissue and professional products, combining K-C’s brands/commercial capability with Suzano’s manufacturing scale and fibre expertise.
In this session, you will learn:
- How Arbex Millicent Mill used existing process signals to identify and reduce converting line variability, contributing to a 10% OEE improvement on a key product.
- How equipment performance KPIs were developed from raw operational data to detect declining efficiency earlier, support predictive maintenance, and reduce the risk of unplanned downtime.
- How historical operating conditions were analyzed to recover process knowledge, improve fabric management practices, and increase consistency for a high-value production asset.
- How engineers can analyze years of operating history in minutes rather than spending hours manually collecting and preparing data.
- Whether you are responsible for process optimization, reliability, maintenance, quality, or mill operations, this webinar will provide practical examples of how existing historian data can be turned into faster decisions, more consistent operations, and measurable business results.
