OEE & KPI Monitoring solutions provide manufacturers with visibility into equipment and operator performance, enabling real-time and historical analysis of Overall Equipment Effectiveness and other key performance indicators to support manufacturing process improvement.
Manufacturers lack visibility into equipment performance, downtime and losses
OEE & KPI Monitoring provides insight into equipment availability, performance and quality
Production inefficiencies and downtime reduce throughput and asset returns
Digital monitoring and analysis enable manufacturers to identify issues and adjust processes
Manual or fragmented performance tracking limits continuous improvement
Real-time and historical OEE and KPI data support informed decision-making
Manufacturers struggle to translate equipment performance data into actionable operational improvements.
OEE monitoring solutions provide contextualized performance data and analytics to support informed process adjustments.
Measuring Performance in Manufacturing Plants
In a perfect world, manufacturers would be able to produce goods of the highest quality with maximized efficiency and zero machine downtime. As a result, factory floors would see less wasted product, lower production costs and more time saved for other manufacturing needs. Unfortunately, factors such as planned production stops, equipment degradation and operator error make perfect manufacturing impossible. But that does not mean businesses should give up on achieving manufacturing excellence.
Any manufacturer knows that with the right solution and enough effort put into monitoring, analyzing and adjusting production processes, they can improve their throughput and increase the return on their asset investments. To do so, they need visibility into the performance of their equipment and its operators, as well as the capability to analyze machine data and implement necessary changes in their production facilities. Our IndX team can deliver on these requirements by implementing solutions for optimized Overall Equipment Effectiveness (OEE).
What is Overall Equipment Effectiveness (OEE)?
Overall Equipment Effectiveness is a Key Performance Indicator (KPI) that measures how well equipment in a manufacturing plant is utilized in relation to its full potential. OEE can be calculated by measuring and multiplying three separate factors: Equipment Availability, Manufacturing Performance and Manufacturing Quality. Together, these factors inform manufacturers on how well a plant is producing.
Equipment Availability: the amount of time that equipment is operational
Manufacturing Performance: the total output of product
Manufacturing Quality: the count of good product being produced
The calculation of these three Key Performance Indicators are known as loss-related manufacturing factors because they are measured by the division of the actual and the ideal.
Equipment Availability = Run Time / Planned Production Time
Manufacturing Performance = Total Count / Run Time) / Ideal Run Rate
Manufacturing Quality = Good Count / Total Count
OEE Context
OEE is a powerful performance indicator in manufacturing that, when used correctly, can unlock the hidden potential of the factory floor. Worldwide, the accepted estimate for the average OEE level is between 40% and 60%. Highly efficient factories strive for a world-class OEE rating of 85%. The only way to reach that best-in-class rating is through process improvement, digital solutions and the right expertise to implement and integrate them successfully.
Our Digital Solutions for OEE Optimization
To understand how well their machines and plants are performing, manufacturers are turning to digital solutions to connect their machines and gain visibility into their OEE and other KPIs. Our OEE monitoring solutions leverage Industrial Internet of Things (IIoT)-enabled devices to accurately track, analyze and improve Overall Equipment Effectiveness.
Our solutions for OEE optimization also enable real-time monitoring of machine performance to help plant managers make the right decisions and react faster to unexpected events that could interrupt production. In addition to our enterprise solutions, we also offer a portfolio of low-code, cloud-based applications for OEE and KPI monitoring to help manufacturers of all sizes at any stage of digitalization start small, adopt scalable tools and enable their management to understand what is happening in their factories.
Capabilities of OEE & KPI Monitoring Solutions
Industrial IoT-based machine connectivity and monitoring
Real-time machine data collection
Standard and customizable definition of KPI formulas
Definition of plant model, time model, reason tree, machine states, counters and other context fields
Real-time machine downtime monitoring
Real-time and historical OEE & KPI calculation
KPI visualization via dashboards
Data accessibility from any device
Performance data contextualization
Machine downtime cause identification and analysis
Integration with enterprise and manufacturing systems
Enterprise and low-code, cloud-based OEE solution availability
Benefits of OEE & KPI Monitoring Solutions
Increased Overall Equipment Effectiveness
Maximized equipment availability and throughput
Optimized manufacturing product and process quality
Improved asset performance
Increased visibility into manufacturing operations
More data-driven decision-making
Reduced downtime and production losses
Improved control of operational costs
Reduced waste and rework
IndX Advantage
OEE is the gold standard for measuring manufacturing productivity and is an essential part of any lean manufacturing program. Although digitalizing OEE & KPI Monitoring may be the right solution for your operational improvement goals, it can be difficult to successfully utilize without the right expertise. That’s where our IndX team comes in. Our experts have been implementing OEE & KPI Monitoring solutions across the manufacturing sector for many years and they have deep technical knowledge of the leading OEE software products on the market today. We can provide the technical expertise, implementation experience and industry knowledge needed to help manufacturers understand and optimize their factory floors.
Fabio brings over 25 years of experience delivering enterprise manufacturing software and Industry 4.0 programs, with senior leadership roles across Siemens and IndX in consulting, delivery, and industry management. At IndX, he leads large-scale manufacturing initiatives for global clients across North America and is an advisor to manufacturing companies on AI.
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