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SUN Automation Group®

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Everything Corrugated Under SUN

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    • SUN625HD® Heavy-Duty Rotary Die Cutter
    • Latitude Machinery Corp – FFG & RDC
      • PP-SERIES
      • P-SERIES 66″
      • P-SERIES JUMBO
    • PARA Srl
      • Pallet Inserter
      • PARA Crab System
      • Vertical Work-In-Progress
      • Vacuum Overhead Stacker
      • Pre-Feeder
      • Eleva Palletizer
    • Kolbus
      • BX Motion Pro
      • Kolbus RDG Performance Series 115
      • Kolbus RDS Graphics Series 115
    • Domino X630i
    • Machine Rebuilds
    • All SUN Products
  • TECHNOLOGY
    • Helios Corrugated IIOT Platform
    • SunSet® 3.0 Computer Control System
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How Data Science Will Change the Corrugated Industry

how-data-will-change-corrugated

Every minute of every day in a box plant, hundreds of thousands of things happen. The facility is an ecosystem, where every conveyor, every lever, and every moving part has its role. But as in an ecosystem, if some tiny part is not doing its job correctly, a ripple effect that has far-reaching ramifications can occur.

DOWNLOAD

New advancements in data science, machine learning, and artificial intelligence have brought about the biggest advancements in the corrugated industry since the invention of corrugated box manufacturing machines, nearly 150 years ago. This emerging technology takes all of the guesswork and superstition out of keeping machines running and takes profitability and viability to an entirely new level. 

The basic data that is needed to revolutionize the way corrugated facilities are overseen and maintained already exists: corrugated machines are generating hundreds of thousands of data points every day. But until now, this data has been siloed and untapped. Mining the data is the first step, but the truly actionable insight lies within the application of machine learning and artificial intelligence. 

The biggest challenge to profitability in the corrugated industry comes from unplanned downtime and machines operating below capacity. The new technology, as seen in the Helios platform, detects anomalies in the operations, from something as small and simple as an unusual noise or an abnormal vibration, and generates a corpus of data that can be analyzed by machine learning algorithms. Over time, this information can be used to detect potential failures long before they happen, and detect inefficiencies that even the most experienced operators could not detect with the naked eye.

In it, you’ll learn why Ai and Machine Learning are so critical to your production.  

  • Learn about how to leverage machine learning to optimize maintenance intervals for maximum profitability and uptime
  • Discover how emerging technology can combat challenges of expansion, managing multiple facilities, and staffing challenges and redundancies while keeping machines running at maximum capacity
  • Uncover the untapped insights that live in the data currently is being tracked and stored by your machines
Resource Type: Helios, SUNResource Type: Case Studies
Previous Post:Mid-Atlantic Packaging Increases Speed, Print Quality and Productivity with SUN Automation Group Retrofit
Next Post:Rotary Die Cutter Operations Fundamentals

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Latest News

Manufacturing Safety: Where Equipment, Process, and Training Failures Actually Start

April 20, 2026

SUN Automation Group Welcomes Dawn Wittkopf as West Coast Capital Equipment Sales Manager

April 1, 2026

What’s Really Driving Sustainability Gains in Corrugated Plants?

March 3, 2026

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