How to Improve OEE in Manufacturing

Table of contents:

• What is OEE and Why is it Important?
• How OEE Performs and What It Measures
• Linking OEE with IoT: A Modern Approach
• What Are the Benefits of OEE?
• Understanding TEEP (Total Effective Equipment Performance)
• Understanding OOE (Overall Operations Effectiveness)
• Conclusion

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In today’s competitive manufacturing landscape, businesses must consistently improve efficiency to stay ahead. One of the most valuable metrics used to measure operational efficiency is Overall Equipment Effectiveness (OEE). OEE provides insights into how effectively a manufacturing process is being utilized, helping businesses identify inefficiencies and implement improvements. This blog explores the significance of OEE, how it works, and the tools that can be used alongside it, such as TEEP, OOE, and Pareto Analysis, to further enhance production efficiency.
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OEE is a key performance indicator (KPI) used to measure the effectiveness of manufacturing equipment. It represents the percentage of planned production time that is truly productive, accounting for three primary factors:
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1. Availability – the proportion of scheduled time that the equipment is available for production.
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2. Performance – the speed at which the equipment operates compared to its designed speed.
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3. Quality – the ratio of good-quality products produced compared to the total output.
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The formula for OEE is:

OEE= Availability × Performance × Quality
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Why is OEE Important?

• Measuring Equipment Efficiency: OEE helps you understand how well your equipment is performing. By identifying inefficiencies and their root causes, OEE gives a clearer picture of production performance.
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• Continuous Improvement: OEE is a great tool for tracking and improving processes. It encourages businesses to address machine downtime, reduce scrap rates, and increase throughput.
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• Cost Reduction: By improving equipment utilization, manufacturers can reduce costs associated with downtime, poor performance, and defects.
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• Benchmarking: OEE helps to compare performance across different machines or plants, offering a benchmarking opportunity for best practices.
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OEE operates on the principle of calculating the total productive time against the total available time, giving a percentage that shows how effective the equipment is performing in comparison to its potential. By breaking down the losses into the three factors of Availability, Performance, and Quality, OEE helps businesses pinpoint areas of inefficiency. Here's a breakdown of these factors:
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1. Availability

This measures the time the equipment is running versus the time it was planned to be running. Downtime due to breakdowns or maintenance reduces availability.
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2. Performance

This measures how fast the equipment runs compared to its maximum possible speed. It helps identify slowdowns in production, often caused by machine inefficiencies or operator errors.
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3. Quality

This factor measures the number of defect-free products produced versus the total number of products made. Higher defect rates reduce overall quality, thereby lowering the OEE score.
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Incorporating Internet of Things (IoT) into OEE tracking is revolutionizing the way manufacturers measure and optimize their equipment’s performance. These technologies provide real-time data and advanced analytics that help businesses gain a deeper understanding of their operations.
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IoT for Real-Time Monitoring

With IoT sensors embedded in machinery, manufacturers can track key performance indicators (KPIs) in real-time. These sensors send continuous data on machine performance, helping manufacturers immediately detect inefficiencies in Performance. IoT enables instant feedback, allowing quick adjustments to maintain optimal machine speed and output.
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OEE provides several significant advantages for manufacturing operations:
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• Increased Productivity: By tracking OEE, manufacturers can spot inefficiencies and improve production output by addressing bottlenecks.
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• Reduced Waste: OEE highlights quality issues, encouraging the identification of root causes and the reduction of defective products, which translates into less scrap and rework.
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• Improved Maintenance Practices: Monitoring OEE allows for better scheduling of preventive and predictive maintenance, reducing unplanned downtime and extending equipment life.
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• Better Decision Making: OEE data helps managers make data-driven decisions, from resource allocation to improvements in equipment and processes.
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How to Track Machine Utilization with OEE

Tracking machine utilization involves understanding how often equipment is being used compared to how much it could potentially be used. OEE plays a crucial role in tracking this because it accounts for both availability and performance:
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• Availability: (downtime tracking) helps businesses monitor whether the machine is available to run or is being sidelined due to repairs, upgrades, or other issues.
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• Performance: helps track if the machine is running at its ideal speed or underperforming.
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• Quality: ensures that the products produced by the machine are up to standard.
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By calculating OEE regularly, businesses can assess how effectively their machines are being utilized and identify areas where performance could be improved.
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Ready to measure your machine's efficiency?  [Calculate your OEE using our free calculator here]
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While OEE focuses on the percentage of time that production is truly effective, TEEP considers the total possible available time in a 24-hour period, including both planned and unplanned downtime. It measures the overall utilization of equipment, not just the productive hours.

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Formula for TEEP:

TEEP = Operating Time / Total Available Time (24hours)

TEEP gives a more complete picture of machine utilization, especially when evaluating performance during non-operational hours.

OOE is closely related to OEE but also considers external factors that might affect the overall performance, such as market demand or unforeseen operational constraints. OOE measures the effectiveness of not just the equipment but also the entire operation system, giving a more holistic view of operational efficiency.
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Using Pareto Analysis for Losses

Pareto Analysis is a powerful tool in manufacturing that helps identify and prioritize problems by focusing on the few issues that cause most losses. In the context of OEE, Pareto helps identify the most frequent causes of downtime and inefficiency.

For example:

• Identify the top 20% of equipment issues (using failure codes or loss reports) that account for 80% of your downtime or performance losses.
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• By addressing these critical problems first, manufacturers can make the biggest impact on their OEE score.
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OEE is an indispensable tool for modern manufacturing, providing crucial insights into machine utilization, performance, and quality. By integrating TEEP and OOE with OEE, businesses can gain a broader understanding of their equipment’s efficiency and identify critical opportunities for improvement.
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In summary:

• OEE measures how effectively your equipment is used.
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• TEEP extends OEE by including all available time.
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• OOE looks at broader operational effectiveness.
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• Pareto Analysis helps prioritize the most critical issues affecting performance.
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• IoT integration enhance real-time data collection.
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By leveraging these concepts, businesses can continuously optimize their production processes, enhance operational effectiveness, and improve profitability.
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Ready to unlock world-class OEE? Explore how Cryotos can integrate with your equipment to automate maintenance, capture real-time performance data, and eliminate costly downtime.