OEE-Berechnung in der Fertigung

What is Overall Equipment Effectiveness (OEE)?

Overall Equipment Effectiveness (OEE) is a metric that is used to measure the productivity of an individual asset or of a production operation. This key performance indicator (KPI) provides important information to help quantify how effectively assets are being used and how efficiently production lines are running.

Was ist OEE in der Fertigung?

In manufacturing, OEE is a best practices metric that helps manufacturers determine how much of their production time is actually productive. As the name suggests, OEE evaluates how effectively your equipment is running by measuring equipment against three factors: Availability, Performance, and Quality.

Faktoren der Gesamteffektivität der Ausrüstung 

Verfügbarkeit

How long was the process actually running relative to the planned production time? Were there any planned and/or unplanned stops?

Ein Verfügbarkeitswert von 100 % bedeutet, dass die Maschine während der gesamten geplanten Produktionszeit ohne Unterbrechung lief.

Leistung

How fast is the process relative to your ideal cycle time? Was the process slowed down by any slow cycles or small stops?

Eine Leistungsbewertung von 100 % bedeutet, dass der Prozess im Vergleich zu seiner idealen Zykluszeit so schnell wie möglich lief.

Qualität

Gab es Produktionsfehler? Mussten irgendwelche Teile nachgearbeitet werden?

Eine Qualitätsbewertung von 100 % bedeutet, dass die produzierten Teile keine Mängel aufweisen.

OEE

Jeder der oben genannten Einzelwerte fließt dann in den OEE-Gesamtwert ein, der die in jedem Bereich aufgetretenen Verluste berücksichtigt. Ein OEE-Wert von 100 % bedeutet, dass die Maschine so schnell wie möglich, ohne Ausfallzeiten und ohne Fehler lief.

Was ist die OEE-Formel?

OEE wird wie folgt berechnet: OEE = Verfügbarkeit x Leistung x Qualität

Wie berechnet man die OEE?

Die Berechnung der Gesamtanlageneffektivität (Overall Equipment Effectiveness, OEE) umfasst die drei oben genannten Schlüsselfaktoren: Verfügbarkeit, Leistung und Qualität. Lassen Sie uns nun die OEE anhand des folgenden Beispiels in die Praxis umsetzen:

Verfügbarkeit

Formula: Run Time / Planned Production Time = Availability %

For example, your asset was expected to run for 300 minutes, but because of an unexpected maintenance issue, it went offline for an hour for repairs. This resulted in an actual run time of 240 minutes during the planned production period.

The Result: 240 minutes / 300 minutes = 80% Availability

Leistung

Formula: (Ideal Cycle Time x Total Count) / Run Time = Performance %

Ihre Anlage soll zum Beispiel insgesamt 200 Einheiten mit einer idealen Zykluszeit von 1 Minute pro Teil produzieren. Die Laufzeit der Schicht betrug 240 Minuten, und die Maschine produzierte in dieser Zeit 150 Stück.

The Result: (1 x 150) / 240 = 62.5% Performance

Qualität

Formula: Good Count / Total Count = Quality %

In the last section, your machine produced a total of 150 units; however, because of errors in the process, the result was 120 good units with no defects.

The Result: 120 / 150 = 80% Quality

Die OEE berücksichtigt alle diese Elemente und bezieht alle Verluste mit ein.

The Result: Availability (0.8) x Performance (0.625) x Quality (0.8) = 40% OEE

Simplest OEE Calculations vs. Preferred OEE Calculation Method

The simplest way to calculate OEE is to use this formula:

OEE = (Good Count x Ideal Cycle Time) / Planned Production Time

Using the information above, the calculation would look like this:

OEE = (120 units x 1 minute) / 300 minutes = 40% OEE

However, this gives you a simplified version of the OEE KPI. This calculation is sometimes called the effective utilization rate. While it does provide useful information, it doesn’t take availability losses, such as unplanned downtime, into consideration.

The preferred OEE calculation method ends up providing more detailed information which can help shed even more light on inefficiencies.

With the information from our calculations above, we can see that our asset performance is the main factor driving the low OEE percentage.

Benefits of Tracking OEE

The benefits of tracking OEE and other maintenance metrics include improved asset utilization, improved production quality and quantity, and many more. Organizations can track OEE over time to help them make informed decisions about assets and their production lines. Here are some of the ways tracking OEE can benefit an organization.

1. Performance Improvement: Assets are expensive investments, and knowing the OEE of each one can help organizations make changes to ensure they are using their assets in the most effective way possible.
2. Asset Health Indicator: Tracking OEE gives you a good overall picture of the health of an asset. If a certain asset consistently has an OEE of 75% and then it suddenly drops to 55%, that could be a good indicator that something has changed and should be investigated and corrected. A dropping OEE score could also indicate a need to replace an asset.
3. Compare Performance: Tracking OEE allows you to compare the performance of similar assets to see where you may need to make improvements. It also allows for tracking performance of employees on different shifts to see how your staff impacts productivity.
4. Maximize Production: OEE can help identify weaknesses or bottlenecks in your production line. Finding and correcting these will result in more uptime, improved production, and lower machinery costs.

Was ist ein guter OEE-Berechnungswert?

Das obige OEE-Berechnungsbeispiel ergibt einen Wert von 53,3 %. Ist das gut oder schlecht? Und woher wissen Sie das? Die Antwort hängt sowohl von der Ausgangssituation in Ihrem Betrieb (ist diese Zahl eine Verbesserung oder eine Verschlechterung im Vergleich zu früheren Werten?) als auch von den Branchen-Benchmarks (ist diese Zahl im Vergleich zu den Branchenstandards höher oder niedriger?) ab.

Aktueller OEE-Wert im Vergleich zum Ausgangswert der Einrichtung

Wie jede andere Instandhaltungskennzahl ist auch die OEE ein Leistungsindikator, der sich im Laufe der Zeit verändern wird. Mit einer CMMS-Software können Sie die Ergebnisse im Laufe der Zeit leicht nachverfolgen, genau feststellen, wo und warum Produktionsverluste auftreten, und Schwerpunktbereiche identifizieren.

Aktueller OEE-Wert im Vergleich zum Industriestandard

Die OEE-Gruppen, die dem Industriestandard entsprechen, werden wie folgt bewertet:

• 100% - Perfekt
• 85% - Weltklasse
• 60% - Typisch
• 40% - Niedrig

Das obige OEE-Ergebnis von 53,3 % ist also etwas niedriger als typisch, so dass bei allen drei OEE-Faktoren Verbesserungsmöglichkeiten bestehen.

OEE Benchmarks

To achieve a perfect 100% OEE score, your asset or production line would need to score 100% for availability, performance, and quality. That would mean that:

• Availability: The equipment is available 100% of the time, with no stopping for adjustments, maintenance, or repairs.
• Performance: Every product was made in the ideal cycle time allotted.
• Quality: Every product made is perfect and there are no reworks or imperfections.

A score of 100% is unattainable in the real world. However, many OEE equipment scores can be improved significantly. Knowing the availability, performance, and quality scores from the ideal OEE calculation above can help you set achievable benchmarks for your team on the factory floor.

Because of the way OEE is calculated, having good scores in all three areas can still result in a less than ideal OEE score. For example, if your score across all three areas is 80%, your OEE score would be only 51.2%.

OEE benchmarks you set for your team should be attainable. If your OEE score is very poor, asking your team to jump from a 40% score to an 80% score is probably going to be discouraging and seem like an impossible ask. Instead, set a short-term goal to improve a few key areas over the next few months. Then, when reports and analytics reveal these goals are achieved, continue making improvements to your processes to ensure you can achieve improved OEE scores over the long term.

Knowing your scores in each area can help you home in on a few key ways to target score improvements. Even minor changes could help improve your OEE score significantly and have a positive impact on your bottom line.

Six Big Losses Impacting OEE

Once you have established a baseline of what your OEE is and how it measures up to industry standards, it’s necessary to take a look at where losses are coming from – and the biggest losses fall into six main categories. Let’s take a closer look at these:

1. Breakdown Losses: These occur when operations stop or machines go idle due to failures and malfunctions, such as equipment failures, jams, or unplanned maintenance.

2. Setup and Adjustment Losses: These take place during planned downtimes for installing new equipment, upgrading existing equipment, or performing changeovers, like shutting down a production line to introduce new equipment.
3. Idling and Minor Stoppages: They result from minor issues that cause brief pauses, such as recalibrating a machine during routine maintenance or adjusting misaligned product.
4. Startup Losses: Typically these occur during a machine’s “warm up” period or when equipment is going through a “learning” stage, until it consistently produces quality parts.
5. Reduced Speed Losses: These are caused by equipment faltering due to age, worn-out components, poor maintenance, or misuse, preventing the equipment from reaching maximum speed.

6. Quality Defects: They result from malfunctioning tooling or equipment, excessive wear and tear, or poor maintenance, leading to defective products.

By addressing these Six Big Losses, organizations can significantly improve their OEE and other maintenance KPIs like MTBF, MTTF, and MTTR, leading to more efficient and reliable manufacturing operations.

How to Improve Your OEE Score

Improving your OEE score can be challenging, but it can be done! Here are some actions you can take to avoid each of the six common losses.

1. Breakdown losses can be avoided or reduced by forecasting possible shutdown scenarios and creating a comprehensive preventive maintenance plan to help avoid them.
2. Setup and adjustment losses can be improved by planning production batches to use equipment more efficiently. Using techniques such as Single Minute Exchange of Die (SMED) can help reduce the length of planned stoppages by ensuring quick transitions in the production process.
3. Idling and minor stoppages can be reduced by implementing standardized processes and being sure workers have been trained to perform maintenance tasks efficiently and effectively. Where possible, have workers fix simple issues in real time to avoid major breakdowns.
4. Startup losses can be minimized by accounting for their impact on production lines. Develop and document best practices for machine startup and changeovers, and perform pre-run checks of lubrication, alignment, and calibration before beginning production.
5. Reduced speed losses can be avoided by replacing worn and damaged equipment as soon as possible. Machine operators should be trained on proper maintenance and repair techniques to ensure assets are running as effectively as they can.
6. Quality defects can be avoided or reduced by replacing old equipment in a timely manner to ensure production quality remains high. Workers should be trained to follow standard operating procedures and learn how to spot problems quickly, before they have a serious impact on production quality.

Challenges with improving your OEE

Nun sind Verluste in Bezug auf Ihre OEE behebbar - aber sie bringen gewisse Herausforderungen mit sich, die sich wie folgt kategorisieren lassen:

1) Data Collection Challenges

• Data Availability and Accessibility: Accessing real-time production data from equipment or integrating data from different sources can be challenging. Legacy equipment might lack the necessary sensors or connectivity to provide real-time data. Also, disparate data sources and systems might require integration efforts to consolidate information for OEE analysis.
• Data Collection and Accuracy: Accurate and timely data collection is crucial for calculating OEE. However, organizations might face challenges in collecting data consistently and reliably. Issues such as manual data entry, reliance on operator input or inadequate data tracking systems can lead to data inaccuracies or incomplete information, affecting the reliability of OEE measurements.

2) Expertise Challenges

• Understanding OEE Metrics: Interpreting OEE metrics and understanding their implications can be challenging for organizations. Without proper training and knowledge, it can be difficult to identify the underlying causes of low OEE, prioritize improvement efforts and implement effective solutions. Education and training on OEE metrics and their interpretation are essential for successful implementation.
• Equipment Complexity and Variability: Modern production equipment can be complex and highly variable, with different modes, setups or configurations. Managing OEE for such equipment can be challenging, as different operating conditions might result in different OEE values. Accounting for equipment variability and developing standardized OEE metrics that can capture various equipment configurations can be a complex task.

3) Policy Challenges

• Organizational Alignment and Culture: Implementing OEE improvements requires organizational alignment and a culture that supports continuous improvement. Resistance to change, lack of buy-in from employees or a culture that prioritizes short-term productivity over long-term efficiency can hinder OEE initiatives. Overcoming these challenges requires effective communication, employee engagement and a focus on promoting a culture of continuous improvement.
• Identifying and Addressing Root Causes: Determining the root causes of low OEE can be challenging, as multiple factors might contribute to inefficiencies. It requires a systematic approach, data analysis and collaboration among various stakeholders, including operators, maintenance personnel and process engineers. Identifying the underlying issues accurately is crucial for implementing effective corrective actions.

4) Sustainability Challenges

• Balancing Tradeoffs: Improving one aspect of OEE (availability, performance or quality) can sometimes lead to tradeoffs in other areas. For example, increasing production speed (performance) might result in higher defect rates (quality). Organizations need to carefully balance these tradeoffs and consider the overall impact on OEE and customer satisfaction.
• Sustaining OEE Improvements: Achieving initial improvements in OEE is a significant accomplishment, but sustaining those gains can be challenging. Without a focus on continuous monitoring, performance management and ongoing improvement efforts, OEE can decline over time. Sustaining improvements requires a commitment to ongoing measurement and analys

By recognizing and addressing these challenges proactively organizations can overcome obstacles and achieve successful OEE implementation, leading to sustained improvements.

Verbesserung der OEE mit einem computergestützten Instandhaltungsmanagementsystem (CMMS)

Eine der besten Möglichkeiten zur Verfolgung von Instandhaltungs-KPIs wie OEE ist der Einsatz von CMMS-Software (Computerized Maintenance Management System). Mit einem CMMS können Sie problemlos Basiswerte festlegen, die Leistung messen und Verbesserungsmöglichkeiten identifizieren. Der Einsatz eines CMMS wie eMaint kann den Unterschied ausmachen, ob Ihr Unternehmen seine Instandhaltungs-KPIs über- oder unterschreitet.

Setzen Sie sich mit uns in Verbindung, um mehr darüber zu erfahren, wie eMaint Ihnen helfen kann, Ihre Wartungs-KPIs zu verbessern.