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Home > Case Studies > The Impact of Predictive Maintenance in the Corrugated Industry

The Impact of Predictive Maintenance in the Corrugated Industry

KCF Technologies is the Ultimate Predictive Maintenance Partner

VIEW CASE STUDY
CORRUGATED WHITE PAPER

Introduction

The corrugated industry is the backbone of modern packaging, enabling businesses to transport goods efficiently and sustainably. However, maintaining uptime in corrugated plants is a persistent challenge, as equipment failures lead to costly downtime, lost production, and safety hazards.

KCF Technologies is transforming the industry with its predictive maintenance solutions, powered by SMARTdiagnostics®. Through real-time asset monitoring and expert-driven analytics, KCF helps corrugated manufacturers prevent failures before they occur, reducing downtime, mitigating fire risks, and optimizing operational efficiency.

The Impact of PdM

KCF Technologies’ solutions have delivered significant results in the corrugated box industry:
Production Loss Avoided:
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14M+
Boxes
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509
Hours of Downtime Avoided
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3
Partner Verified Fire Incidents Avoided

KCF's Superior Sensor Technology

Wireless vibration sensors are a crucial enabler of predictive maintenance, but not all sensors are created equal. Many solutions on the market suffer from poor design, resulting in false positives, missed diagnoses, and erosion of trust in condition monitoring programs. KCF Technologies has set the industry standard with its patented Version 3 High-Definition sensor, engineered for unparalleled accuracy and reliability.

Key Advantages of KCF’s Sensor Technology:

Minimal Measurement Error: KCF’s sensors exhibit less than 6% error, compared to the 60-410% error range of competing sensors. Patented Stability

Design: KCF’s vibration sensors avoid the instability issues found in many wireless solutions, ensuring accurate diagnostics.

Proven Reliability at Scale: Unlike many predictive maintenance startups, KCF Technologies has a track record of successfully implementing scalable monitoring solutions across industries.

Sensor Overview

KCF’s High-Definition Sensor offers industry-leading data acquisition—collecting the full spectrum of data as often as once every minute. Our unique ability to take high-interval, full-spectrum data allows for a best-in-class machine learning training dataset, delivering exceptional predictive maintenance analytics.

Corrugated Case Studies

Real-World Successes

1
Case Study
Trim Blower Fan Failure Prevention

Trim Blower Fan Failure Prevention

DETECTION: KCF’s SMARTdiagnostics software identified excessive vibration in a trim blower fan, indicating an imbalance.
ACTION: Upon inspection, cracks were discovered in the fan’s frame and welds. The customer proactively shut down the fan before it could fail.
IMPACT: This preventive action avoided a catastrophic failure that would have forced six months of reduced operating capacity and a production loss of 277,000 boxes per week.
2
Case Study
Fire Hazard Avoidance in Trim Removal System

Fire Hazard Avoidance in Trim Removal System

DETECTION: A temperature spike in the trim removal system’s main drive motor signaled a potential failure.
ACTION: Upon investigation, the team discovered excessive scrap buildup blocking airflow. They cleaned out the debris to restore safe operation.
IMPACT: This prevented a fire hazard, kept the system running optimally, and saved the company $20,000 in fire-related costs.
3
Case Study
Proactive Bearing Fault Detection in a Starch System

Proactive Bearing Fault Detection in a Starch System

DETECTION: Vibration analysis identified a bearing fault in the starch feed pump motor.
ACTION: With no spare motor available, the customer ordered a replacement in advance.
IMPACT: Thanks to early detection, the new motor was installed before failure, avoiding 47 hours of downtime.
4
Case Study
Corrugator System Optimization

Corrugator System Optimization

DETECTION: Right after installing KCF sensors, an analyst detected high vibration in a single facer motor caused by bearing wear.
ACTION: The team inspected and found the bearings were dry and rough, prompting a motor replacement.
IMPACT: Rapid data collection and analysis enabled swift action, reducing vibration levels ninefold and preventing unnecessary downtime.

Why Choose KCF Technologies?

KCF Technologies goes beyond traditional maintenance by combining advanced sensor technology, industry expertise, and real-time data analysis.

Our Predictive Maintenance Approach Delivers:
• Faster issue detection to prevent failures before they occur
• Significant cost savings from downtime prevention and asset longevity
• Enhanced safety by mitigating fire hazards and operational risks
• Industry-leading sensor accuracy ensuring data integrity for reliable decision-making
• Increased production efficiency by maintaining optimal machine performance

Conclusion

In the highly competitive corrugated industry, operational reliability is essential. KCF Technologies empowers manufacturers with the tools they need to achieve zero unplanned downtime, zero waste, and zero injuries. By leveraging SMARTdiagnostics® and expert guidance, companies can maximize production, safeguard their workforce, and stay ahead of costly failures.

Learn how KCF’s machine health optimization platform will help you achieve peak plant performance at kcftech.com

KCF Full Guide

Learn more about gaining a competitive edge with the most advanced, comprehensive machine health optimization platform.

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