Albert Berera’s Post

Every so often I see a webinar along the lines of “Implementing OEE in under an hour” This is definitely do-able. IF you already have all your data points mapped out. The time consuming part of every OEE implementation I’ve seen and done is figuring out what data to use, what data is valid, and getting everyone to agree on what is the correct data in the first place. “Is the machine/line/plant running” is usually the easiest of the pieces to determine with consensus. Oddly enough cycle time, and especially design cycle time to compare with actual cycle time has been one of the most challenging pieces. This tracks with my experience though. Many vendors don’t build in cycle time tracking into their equipment because it’s relatively easy to measure manually for proving everything meets spec. Design cycle time is usually lost to the ages. Quality is usually one of the easiest pieces to integrate, with the main question focused on WHEN quality data is collected. Most processes don’t have real time metrics on quality so there is more integration that needs to happen to update OEE for a batch when quality is collected. My approach is simple. 1. Pick a running state to start, worry about automated downtime reasons and more granularity as the next step after implementing OEE. 2. Make an educated guess for cycle time and design cycle time then adjust. 3. You can ALWAYS adjust the OEE calculation once you get quality data, so if you have it great, if not it’s okay to ignore the quality portion to start. Get started, learn how it works for you, then adjust and improve. Isn’t that the whole goal of OEE in the first place? May as well approach implementing OEE in the same way 😎

➡ Machine Monitoring vs. Production Monitoring ⬅ Basic machine monitoring solutions offer a one-dimensional view of production --> machine performance. ie. Is the machine running? How many parts has the machine made? What is my machine utilization? This machine-centric viewpoint is helpful but leaves out a lot of context. What about people, processes, parts, work orders, operations...? Most manufacturers are looking to paper logs, Excel docs, and the MES/ERP to answer these questions - and they are unsatisfied with what is provided. The data is delayed, inaccurate, biased, nonexistent, or simply difficult to analyze and pivot as desired. Basic machine monitoring solutions are helping engineers, CI personnel, and managers better understand machine performance but there is a lot more to the story than simply monitoring machines... Check out our latest article: https://lnkd.in/etprR5Dr

🌟 Deep Dive into OEE Components: Beyond the Basics 🌟   OEE is not just a performance indicator but a mirror reflecting the intricate efficiencies and inefficiencies within manufacturing processes. Here’s a more detailed look at each component of OEE: Availability, Performance, and Quality.   🕒 Availability Definition: Availability measures the time that a machine or system is ready to produce as a percentage of the planned production time. It is impacted by Events like breakdowns, setup and adjustments. Lesser-Known Detail: Availability losses aren’t just about unexpected downtime; they also include planned stops (like changeovers) that are often not optimized. For instance, practices like SMED (Single-Minute Exchange of Dies) can dramatically reduce these times, yet are underutilized.   🔧 Performance Definition: Performance measures how fast the machinery operates as compared to its theoretical maximum speed during the operating time. It is reduced by small stops or slow cycles. Lesser-Known Detail: Minor stops and slow cycles often go unrecorded yet can accumulate significant losses. Modern data analytics and real-time monitoring can pinpoint these inefficiencies, which traditional methods might overlook.   ✅ Quality Definition: Quality measures the proportion of good units produced versus the total units started. It focuses on units that are manufactured right the first time without any need for rework. Lesser-Known Detail: Quality not only includes the absence of defects but also involves meeting the precise specifications required by customers, which can vary significantly from one order to another. Advanced quality tracking can adapt these varying standards into its metrics.   When synthesizing OEE Insights, each component of OEE offers a window into specific areas of improvement, but the true power lies in their integration. By understanding insights from Availability, Performance, and Quality, manufacturers can undertake comprehensive corrective actions, thereby moving beyond mere measurement to achieve genuine enhancements in productivity and efficiency.   #OEE #Manufacturing #Efficiency #RealTimeData #AutomationIntellect #DigitalTransformation #Industry40 #DataAnalytics #QualityControl

From working on OEE solution. These are short notes about this solution. 🔧 What is OEE? OEE (Overall Equipment Effectiveness) is a key metric used to evaluate the efficiency of manufacturing equipment. It combines three critical factors: 1. Availability: Measures the percentage of scheduled time that the equipment is actually available for production. 2. Performance: Assesses how efficiently the equipment runs compared to its maximum speed. 3. Quality: Tracks the percentage of good parts produced without defects. 📊 Why is OEE Important? By tracking OEE, companies gain valuable insights into production bottlenecks, downtime, and inefficiencies. It helps: - Identify areas for improvement. - Reduce waste and operational costs. - Boost overall productivity. In essence, OEE enables smarter decision-making through real-time data, ensuring every asset performs at its best. #OEE #ManufacturingExcellence #ContinuousImprovement #OperationalEfficiency #LeanManufacturing #DigitalTransformation

Improving current OEE rates can be a challenge for manufacturers, but with the right data, you can target areas negatively impacting OEE, and make increasing it an easier task. With PlantRun, you can monitor all historical OEE data, and reach an OEE rate that you are truly happy with, something that seems unachievable when relying on manual data collection. More than just an OEE and KPI reporting package PlantRun provides any level of production control and automation, and backed up by training and technical support, the systems ensure maximum value and long term reliability. More information available at: https://lnkd.in/eUWj4Tg #oee #productivity #industry40 #industrialautomation #leanmanufacturing #digitalisation #smartfactory

Many times plants struggling to correlate their OEE KPIs to their PnL don't have an issue in calculating OEE (Availability, Performance, Quality) and the OUTPUT KPIs, but rather an issue in collecting the INPUTs that factor into the KPIs. If your using an average cycle time your Performance is wrong. If your not accurately reporting your downtime, your Availability is wrong. If your including retests in your first time fails, your Quality is wrong. These subtleties are exposed and corrected when we setup our IN2GRATE system. It also fills the gap where information loss was occurring like downtime reporting. Reach out for a digital meeting to review how we can integrate your production data! #DigitalLean #Manufacturing #Integration #Automation #OPEX #OperationalExcellence #Operations #Quality #Production #Lean

Want to achieve the best ROI with warehouse automation? Our experts analyse data, run simulations, and create tailored solutions that generate maximum value at the lowest cost. Let us unlock the full potential of your operations: https://buff.ly/3UmIYgC #AutomationSuccess #ROI #Efficiency

Give a boost to your manufacturing processes with a solution having OEE capabilities. Our web page on OEE functionality dives into how OEE statistics and metrics drive efficiency, with dashboards that simplify complex data for clear analysis and decision-making. Explore the power of the three OEE pillars — Availability, Performance, and Quality, to foster continuous improvement. Learn why Smart Factory MOM is the ultimate solution for OEE optimization. #OEE #SmartFactory #Manufacturing #OperationalExcellence #Efficiency #DataAnalytics #ContinuousImprovement #IndustrialAutomation #Industry40 #PerformanceOptimization

🚀 Discover the essentials of OEE (Overall Equipment Effectiveness) and how it can improve your manufacturing processes! Our latest article (Updated from the popular 2018 version) dives into the key components, measurement techniques, and benefits of OEE, and its role in MES (Manufacturing Execution System). Gain insights to boost efficiency, reduce downtime, and enhance product quality. 🌟 Enhance your production capabilities with OEE knowledge and drive your manufacturing success. Read more: OEE คืออะไร? What is Overall Equipment Effectiveness? https://lnkd.in/gUw5sxQs #Manufacturing #OEE #Efficiency #MES #Production #LeanManufacturing #appomax #iiotplatform