Solenis™ Unlocks $450K in Annualized Fiber Savings Using Artificial Intelligence

GoalUnlock annualized fiber savings using artificial intelligence.

<h6>Improvement Opportunity</h6> <p>A North American tissue manufacturer needed to optimize basis weight while improving MD strength. The company&rsquo;s basis weight scanner was outdated and unreliable, preventing the manufacturing team from making informed decisions. Additionally, limited process visibility in a reel-to-reel quality measurement environment significantly effects decision-making response time. Without seeing the immediate impact of small process changes on the primary quality parameter, operators lacked the confidence to effectively adjust basis weight.</p> <h6>Recommended Solution</h6> <p>Solenis recommended the implementation of OPTIX Applied Intelligence&mdash;a machine-learning, predictive analytics platform. OPTIX delivers high-frequency data every 15 to 30 seconds, providing a machine-direction quality profile. Using the machine learning capabilities, OPTIX measurements remain robust and accurate in the face of changing machine conditions. The adaptive predictive model allow for informed, on-the-fly process changes, rapid change detection, and process control optimization without requiring periodic model tuning.</p> <h6>Results Achieved</h6> <p>By utilizing the process visibility afforded by OPTIX, this customer was able to effectively decrease basis weight 2% from baseline while optimizing MD strength. The resulting change in basis weight unlocked $450K in potential annualized fiber savings.</p> <p><img style="max-width: 100%; width: auto; height: auto;" src="/link/72678b43eb2b46d29ba4c838ee1af4a6.aspx" alt="" width="850" height="272" /></p> <p><img style="max-width: 100%; width: auto; height: auto;" src="/link/2b1c24fac31d48378ee24757c9715e16.aspx" alt="" width="2268" height="719" /></p> <p>&nbsp;</p>