Category: Data & Analytics

Discover the latest trends and innovations in Data and Analytics for the industry 4.0. Explore how data and advanced analytics help optimize industrial processes, improve decision-making, and increase operational efficiency.

Understanding Machine Supervision to Optimize Your Industrial Processes

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In modern industry, machine supervision plays a key role in optimizing performance and managing production infrastructures. Thanks to advances in computing and monitoring solutions, companies can improve equipment availability, prevent breakdowns, and maximize efficiency. This article explores the tools and software used in supervision, their role in the industry, and the benefits they bring to companies in terms of control, safety, and data management.

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What is Machine Supervision?

Definition and Objectives

Machine supervision refers to the set of processes and applications used to monitor, control, and optimize industrial equipment. It relies on a system capable of collecting real-time data, analyzing machine status, and sending alerts in the event of a problem. The primary goal is to ensure optimal performance by guaranteeing equipment availability and safety while reducing the risk of production downtime.

Importance in the Industry

In an industrial environment, supervision is essential for optimizing resource usage and improving equipment management. In France and beyond, companies rely on monitoring solutions to detect anomalies and boost productivity. Implementing supervision software not only increases performance but also enhances the management of servers, networks, and production infrastructure.

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Supervision Tools and Software

Introduction to SCADA Software

SCADA (Supervisory Control and Data Acquisition) systems are essential tools in industrial supervision. They collect and analyze machine data to optimize production process management. These software packages provide an interface for real-time control, enhancing equipment safety and availability.

Key Features of Supervision Tools

Supervision software includes several key features, such as real-time monitoring, alert management, and performance analysis. Some tools offer light-based alert systems, advanced user interfaces, and plugins for better customization. Compatibility with networks and servers ensures optimal data availability, thereby supporting better management of industrial resources.

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Optimizing Industrial Performance through Supervision

Cost Reduction and Efficiency Improvement

Using a supervision tool allows companies to optimize resource usage and reduce costs related to maintenance and production interruptions. By monitoring real-time data, companies can identify inefficiencies and enhance overall performance. A well-implemented solution also allows early detection of machine failures, helping to avoid costly repairs and unexpected downtime.

Failure Prevention and Continuous Monitoring

With a monitoring system in place, industries can detect anomalies before they become critical. Supervision tools enable data analysis and precise control over machine operation. The installation of dedicated servers and software facilitates remote access to information, ensuring continuous supervision and better incident management.

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Frequently Asked Questions about Machine Supervision

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A supervision tool is a software or system used to monitor and control industrial infrastructures. It collects real-time data, analyzes performance, and generates alerts in case of anomalies. These solutions are used to ensure safety, availability, and optimal resource utilization.

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Supervision refers to all the techniques and tools used to monitor, analyze, and control a system or network of machines. It plays a crucial role in industry by ensuring efficient management of data and production processes through specialized software.

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There are several types of supervision, including industrial supervision, which focuses on monitoring machines and infrastructures, and IT supervision, which covers networks, servers, and digital systems. Some companies also use specific solutions like Nagios for monitoring data and applications.

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The supervision function consists of monitoring, controlling, and optimizing a system to ensure its availability, safety, and performance. It enables the detection of problems, anticipation of failures, and smooth management of resources and information.

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May 15, 2025
OEE monitoring software : optimize your equipment efficiency

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In the competitive world of manufacturing, ensuring optimal equipment efficiency is essential for maintaining high productivity. OEE (Overall Equipment Effectiveness) monitoring software offers a powerful solution for companies to improve machine performance, reduce downtime, and enhance overall production effectiveness. By providing real-time insights and actionable data, this software enables manufacturers to make informed decisions that drive continuous improvement across the production line.

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What is OEE monitoring software?

OEE monitoring software is a specialized tool that helps manufacturing plants track, measure, and optimize the performance of their equipment. It provides real-time data on key metrics like availability, quality, and speed, offering valuable information to reduce losses and increase productivity.

Definition of OEE software

OEE software measures how well a machine or a production line operates by calculating its OEE score, which is based on three factors: availability, performance, and quality. This score reflects the overall effectiveness of the equipment in producing high-quality products without delays or issues.

Key features of OEE software

Key features of OEE monitoring software include real-time monitoring, downtime tracking, maintenance scheduling, and performance analysis. It also offers customized reports that provide visibility into losses and inefficiencies within the process. Advanced tools allow manufacturers to set standards for continuous improvement and reduce production cycle times.

Importance of OEE monitoring in production

OEE monitoring is crucial in the production environment as it helps companies address the root issues affecting equipment performance. By analyzing the data, companies can optimize the processes, minimize downtime, and ensure high-quality product output. This contributes to greater overall productivity and plant efficiency.

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Key benefits of OEE software

OEE monitoring software brings significant advantages to manufacturers, from increasing data accuracy to enabling comprehensive loss analysis. These features drive better decision-making and improve operational efficiency.

Improved data accuracy

OEE software delivers highly accurate real-time data, helping companies track equipment performance, speed, and availability with precision. This information minimizes manual errors and allows businesses to make data-driven decisions that positively impact the production process.

Loss analysis

By identifying areas of loss, OEE software enables companies to focus on the root causes of inefficiencies. This could include unplanned downtime, performance drops, or quality issues, all of which can be targeted for improvement to enhance overall effectiveness.

Historical perspective and benchmarking

OEE software stores historical data, allowing companies to benchmark past performance against current standards. This long-term perspective helps identify trends and provides context for continuous improvement efforts across manufacturing plants.

Production capacity analysis

Understanding production capacity is critical for optimizing manufacturing operations. OEE software helps businesses assess their full capacity and pinpoint underutilized equipment, thereby improving overall productivity and reducing costly downtime.

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How OEE software helps improve your manufacturing operations ?

OEE software plays a pivotal role in enhancing manufacturing operations by providing actionable insights through real-time tracking and comprehensive analytics. These tools help optimize machine performance and overall plant efficiency.

Real-time tracking and analysis

Real-time monitoring gives businesses instant access to critical performance data, such as downtime, speed, and quality. This immediate visibility allows companies to quickly address any performance issues and maintain smooth operations across the production line.

Continuous improvement analytics dashboard

OEE software includes an analytics dashboard that continuously tracks KPIs, offering insights into ongoing process improvements. This dashboard highlights areas of loss, enabling manufacturers to take corrective actions in real time and boost production effectiveness.

Departmental KPI displays

Displaying KPIs for individual departments improves transparency and accountability. OEE software visualizes metrics across departments, enabling better coordination and ensuring each section of the plant is aligned with performance goals to maximize overall productivity.

Downtime tracking and quality control

The software excels in downtime tracking, allowing manufacturers to reduce unplanned stoppages and improve maintenance scheduling. It also enhances quality control by identifying potential losses in the production process before they become major issues.

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How to measure OEE ?

Measuring OEE is essential for understanding the effectiveness of your equipment and production processes. OEE breaks down into three key metrics: availability, performance, and quality. By monitoring these factors, manufacturers can accurately assess equipment efficiency and make improvements.

OEE calculation methodology

The OEE score is calculated using the formula: OEE = Availability × Performance × Quality. Each factor is represented as a percentage. Availability measures the downtime, performance evaluates operational speed, and quality measures defect-free products. The combined data gives the overall OEE score, offering real insight into equipment losses and opportunities for improvement.

Practical examples and calculations

For instance, if a machine operates for 8 hours but experiences 1 hour of unplanned downtime, its availability is 87.5%. If it runs at 90% speed, its performance is 90%. Lastly, if 95% of the products meet quality standards, the final OEE score would be approximately 74.6%. This highlights areas to analyze for improved efficiency.

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Tips for using OEE software successfully

Implementing OEE software can greatly improve manufacturing operations, but success depends on using the tool effectively. Follow these tips to maximize the value of your OEE monitoring solution.

Choose simplicity

Select OEE software that is easy to use and understand. Complex tools can overwhelm users and reduce adoption. Focus on a solution that provides clear data and intuitive reporting, allowing teams to make quick decisions without excessive setup.

Create an OEE rule book

Establish a standard rule book to ensure consistent OEE measurement across your plant. This ensures that every line follows the same criteria for calculating availability, performance, and quality, reducing discrepancies and improving the accuracy of reports.

Establish accurate ideal cycle times

Set realistic cycle times for each piece of equipment. Accurate cycle times are critical to determining true performance levels and losses. Without a well-defined standard, it becomes difficult to evaluate process efficiency effectively.

Set achievable OEE goals

Setting realistic and achievable OEE goals motivates teams to strive for continuous improvement. Rather than aiming for perfect OEE, aim for incremental gains that reflect true improvements in productivity and equipment effectiveness.

Start with your shift meetings

Integrate OEE data into daily shift meetings to keep teams informed about the performance of their machines. By discussing OEE results regularly, your team stays aligned and focused on addressing the key issues impacting production efficiency.

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Features and options of OEE software

OEE software comes with a variety of features and customization options to help manufacturers optimize their production processes. These features ensure seamless connectivity, real-time visibility, and flexibility for specific manufacturing needs.

Equipment connectivity (OPC & MQTT)

OEE software can integrate with equipment using protocols like OPC and MQTT. This connectivity allows for real-time data exchange, improving the availability and accuracy of machine performance monitoring. Tools like Evocon offer such integrations, providing better visibility across the plant.

Customization options

Customization options are key to adapting OEE software to your specific needs. From creating personalized dashboards to setting up specialized reports, OEE software can be tailored to analyze different aspects of the process, ensuring the right information is always accessible.

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Benefits of implementing OEE software

Integrating OEE monitoring software into your operations brings numerous benefits, from enhancing productivity to reducing operating costs, while supporting lean manufacturing initiatives.

Return on investment

OEE software provides a strong ROI by improving equipment performance and reducing downtime. The better visibility into your processes helps prevent unexpected stoppages, increasing overall plant productivity and driving significant cost savings over time.

Lowering operating costs

By identifying losses and optimizing maintenance schedules, OEE software helps lower operating costs. The insights gained allow you to reduce wasted resources, improve product quality, and maximize production output without overextending resources.

Embracing lean manufacturing

OEE software supports lean manufacturing by helping eliminate waste and improve process effectiveness. With real-time data on equipment performance, manufacturers can adopt lean practices that minimize inefficiencies and reduce unnecessary downtime, driving higher efficiency.

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FAQ about OEE software

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OEE software is a tool that tracks, measures, and analyzes the performance, availability, and quality of manufacturing equipment. It helps companies monitor machine efficiency and identify areas for improvement, ensuring more effective production processes.

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An OEE score of 85% indicates that the machine is operating at 85% of its full potential when considering availability, performance, and quality. This is considered world-class OEE in most industries and shows that the process is running smoothly with minimal losses.

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OEE is measured by multiplying availability, performance, and quality. These metrics are calculated based on machine uptime, speed compared to the ideal cycle time, and the proportion of defect-free products. The final score reflects overall equipment effectiveness.

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Yes, OEE is a key performance indicator (KPI) used in manufacturing to measure the effectiveness of production equipment. It helps businesses track how well their machines are operating and where there are opportunities to improve productivity and reduce losses.

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May 14, 2025
Maximise operational efficiency with PerfTrak: The power of OPC UA at your fingertips

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OPC UA revolutionises TEEPTRAK: here’s why.
TEEPTRAK, a leader in technology solutions, has taken a major step forward by making its PerfTrak systems fully compatible with OPC UA (Open Platform Communications Unified Architecture). Discover how this revolutionary integration opens up new perspectives for the industry.

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THE ADVANTAGES OF OPC UA

OPC UA (Open Platform Communications Unified Architecture) is much more than just a communications standard. It is a revolution for industry, enabling unprecedented interoperability between different machines and systems, regardless of manufacturer or platform. This standardisation facilitates the fluid exchange of data between equipment, simplifying processes and improving operational efficiency. By integrating OPC UA into our PerfTrak systems, we are offering our customers the chance to take full advantage of this standard, opening up new opportunities to optimise their industrial operations.

EXTENDED CONNECTIVITY WITH PERFTRAK

With the integration of OPC UA into our PerfTrak solutions, our customers now benefit from extended connectivity. They can monitor and control the performance of all OPC UA-enabled machines directly from our PerfTrak platform, avoiding the need to juggle different interfaces or configure complex systems. This consolidation simplifies the day-to-day management of operations, allowing teams to focus on core tasks rather than compatibility issues.

ENHANCED SAFETY

Industrial data security is an absolute priority at TeepTrak. With OPC UA, our customers benefit from enhanced security through advanced encryption mechanisms and robust security protocols. These measures guarantee data confidentiality and integrity, protecting sensitive information from potential threats such as cyber attacks. By choosing our OPC UA compatible PerfTrak solutions, our customers can have complete peace of mind about the security of their industrial operations.

A COMMITMENT TO INNOVATION

At TeepTrak, our commitment to innovation is at the heart of everything we do. By making our PerfTrak systems compatible with OPC UA, we are taking an important step in this direction. We are determined to offer our customers the best possible solutions, providing seamless connectivity and advanced functionality to optimise their industrial operations. This integration of OPC UA into our solutions demonstrates our ongoing commitment to anticipating market needs and delivering cutting-edge technology solutions.

By integrating OPC UA into our PerfTrak solutions, TeepTrak is revolutionising the industry with unrivalled connectivity, enhanced security and advanced functionality to meet the challenges of modern industry. Contact us today to find out how our solutions can transform your business.

Find out more about the OPC Foundation: https://opcfoundation.org/about/opc-technologies/opc-ua/
Emerging technologies for improving industrial machine performance: https://teeptrak.com/fr/les-technologies-emergentes-pour-ameliorer-la-performance-des-machines-industrielles/
10 tips for improving machine performance: https://teeptrak.com/fr/10-astuces-pour-ameliorer-la-performance-de-vos-machines/
How to reduce machine maintenance costs while preserving quality and performance? : https://teeptrak.com/fr/comment-reduire-les-couts-de-maintenance-de-vos-machines-tout-en-preservant-la-qualite-et-la-performance/

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May 7, 2024
Emerging technologies to improve the performance of industrial machinery
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Today’s industrial companies are constantly looking for ways to improve the efficiency and performance of their machines. Fortunately, many emerging technologies, such as Artificial Intelligence The latest trends in industrial technology can help meet this need. In this article, we explore the latest trends in industrial technology that can help optimise industrial productivity.

The Internet of Things (IoT)

The IoT has revolutionised the management and monitoring of industrial machinery. By using connected sensors and devices, it is possible to monitor machines in real time, enabling engineers to detect problems before they become major ones. What’s more, the IoT facilitates communication between machines, enabling better coordination throughout the production process.

A practical case illustrating the application of the Internet of Things (IoT) in the industrial sector is the use of temperature sensors to monitor motors. By detecting an abnormal rise in temperature, these sensors send an alert to the operator, giving him the chance to intervene before a fault occurs.

Machine Learning

Machine Learning is a branch of Artificial Intelligence that enables machines to learn and adapt based on the data they receive. In industry, this means that machines can be programmed to detect and correct errors, reducing downtime and improving production quality.

One example of the use of Machine Learning in industry is the use of cameras to detect defects in manufactured products. Product images can be analysed by a Machine Learning algorithm, which can identify defects and alert operators to them.

In this respect, TeepTrak has developed an in-house Machine Learning platform, offering industry players the ability to process large quantities of data in a matter of seconds. We are currently making an anomaly detection algorithm available to any operator in a factory.

Augmented reality (AR)

Augmented reality is a technology that allows users to see images superimposed on reality. In industry, AR can be used to provide real-time information to operators. For example, maintenance instructions can be superimposed on machines, allowing operators to follow the instructions while carrying out maintenance.

The application of augmented reality in the industrial sector can be seen, for example, in the use of AR glasses to provide instructions to maintenance technicians. These professionals can view instructions superimposed on equipment, making it easier to follow instructions while working on the machines.

Collaborative robotics (Cobotics)

Collaborative robotics is a technology that enables robots and humans to work together safely. In industry, this means that robots can perform dangerous or repetitive tasks, while humans can concentrate on more complex tasks.

One example of the use of collaborative robotics in industry is the use of robots to lift heavy loads. Robots can be programmed to lift specific loads, working in collaboration with human workers to improve efficiency and reduce the risk of injury.

Artificial Intelligence (AI)

Artificial Intelligence is an emerging technology that is being rapidly adopted in the industrial sector to improve machine performance. AI systems are able to monitor machine parameters in real time, diagnose potential problems, and even make decisions accordingly to optimise performance. AI systems are also capable of learning and adapting their behaviour in response to changes in the production environment, making them particularly useful for complex production processes.

AI can be used for a variety of tasks related to machine performance, such as predictive maintenance, real-time production monitoring, process optimisation and reducing unplanned downtime. For example, a paper production company used AI algorithms to monitor machine vibrations, detect anomalies and anticipate potential breakdowns. Using this approach, the company was able to reduce unplanned downtime by 15%.

To sum up

Emerging technologies such as augmented reality, additive manufacturing, AI and IoT can all help improve the performance of industrial machinery. By combining these technologies with effective maintenance practices, companies can reduce unplanned downtime, increase productivity and improve the quality of their products. By investing in these technologies, companies can improve their long-term competitiveness and profitability.

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January 11, 2024
What are the standards for measuring your OEE? We explain it all here

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What are the standards for measuring your OEE? We explain it all here

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The synthetic rate of return (SRR) or Overall Equipment Effectiveness (OEE) is a performance indicator developed by Seiichi Nakajima in the 1960s to measure the utilisation rate of an industrial installation. TRS is the most frequently used indicator today for measuring equipment performance, even though there is currently no international consensus on this indicator.

However, the measurement provided by such an indicator is relative and is, in practice, used to identify areas for improvement. The improvement in OEE is measured against a benchmark for a given piece of equipment; the value of this indicator is therefore specific to that piece of equipment and is not comparable with other types of equipment in other departments or plants. Maximising OEE or TEEP does not necessarily mean achieving the global optimum for the production entity.

INDICATORS AND CAUSES OF LOSS OF PERFORMANCE

TeepTrak allows you to assign a set of fully configurable categories of causes of loss of performance to each piece of equipment or area monitored. With the PerfTrak, QualTrak and PaceTrak solutions, these causes can be entered by the operator on his tablet when a production deviation (machine stoppage, underperformance, etc.) is reported to him by the TEEPTRAK module.

These causes of loss will be attached to groups of causes which will make up the performance indicators. When constructing an indicator, certain groups of causes may be included or excluded from the calculation of the indicator.

Ci-dessous : un exemple de nomenclature de pertes de performance pour chaque catégorie type du calcul d’indicateurs OEE/TEEP. Pour suivre un OEE (TRS), les catégories « Arrêt du site de production » et « Temps d’arrêt planifié » ne seront pas prises en compte dans son calcul.

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July 27, 2020