Did you know that HxGN EAM's Reliability Analysis feature can compute a range of reliability data for assets and positions, including Hazard, Probability Density, Reliability, Unreliability, and Crow-AMSAA charts? The data produced by the Reliability Analysis feature holds significant value, including: -Identifying weaknesses in Preventive Maintenance (PM) programs -Comparing maintenance interventions over time -Evaluating equipment performance relative to other matching equipment -Forecasting failure rates to discern trends of increase or decrease -Gaining visibility on recurring failure modes and part failures -Controlling the input data and visibility into MTBF calculations, recalculated after each failure -Leveraging visible data on the Root Cause Analysis screen, specifically calculated for the most recent failure Want to learn more about how the Reliability Analysis feature can help you? Let’s talk! #hxgneam #assetmanagement #reliability #stratumcp
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Sales Executive Thought Leader | Enterprise Software Expert | Go To Market Strategist | Automation Specialist
HxGN EAM’s Reliability Analysis feature is a game-changer for asset management. It allows you to monitor, compare, and predict the performance of your assets using data-driven insights. You can identify and address the root causes of failures, optimize your maintenance strategies, and reduce downtime and costs. Don’t miss this opportunity to take your asset reliability to the next level with HxGN EAM. #AssetReliability #DataDriven #MaintenanceOptimization #CrowAMSAA #RootCauseAnalysis
Did you know that HxGN EAM's Reliability Analysis feature can compute a range of reliability data for assets and positions, including Hazard, Probability Density, Reliability, Unreliability, and Crow-AMSAA charts? The data produced by the Reliability Analysis feature holds significant value, including: -Identifying weaknesses in Preventive Maintenance (PM) programs -Comparing maintenance interventions over time -Evaluating equipment performance relative to other matching equipment -Forecasting failure rates to discern trends of increase or decrease -Gaining visibility on recurring failure modes and part failures -Controlling the input data and visibility into MTBF calculations, recalculated after each failure -Leveraging visible data on the Root Cause Analysis screen, specifically calculated for the most recent failure Want to learn more about how the Reliability Analysis feature can help you? Let’s talk! #hxgneam #assetmanagement #reliability #stratumcp
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Our preventive maintenance strategies involve regular inspections, routine servicing, and proactive repairs to identify and rectify any signs of wear or malfunction before they disrupt your operations. By staying ahead of maintenance tasks, we minimize the risk of unexpected breakdowns and costly downtime. But we don't stop there. With the power of predictive analytics, we harness data to anticipate equipment failures before they occur. By analyzing trends and patterns in equipment performance, we can identify potential issues early, allowing for proactive intervention and optimization of maintenance schedules. #EquipmentMaintenance #PeakPerformance #MKPGlobal 🚀🔧
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💡 How to Boost Your Manufacturing Operations with #HxGNAPM? Here are some benefits: 1️⃣ Maintenance Optimization: #HxGNAPM helps you implement the most effective strategies to prevent asset failures. It uses a combination of risk-based, condition-based, and predictive techniques to optimize #maintenance spending and maximize return on investment. 2️⃣ Predictable Production: reduce unexpected downtime as HxGN APM allows you to identify operational anomalies and detect equipment failures early on, ensuring increased production predictability and asset availability. 3️⃣ Risk Reduction: HxGN APM helps you actively manage asset risk, performance, and condition, ensuring compliance with safety and #sustainability programs. HxGN APM can be a game-changer for your manufacturing operations. ➕ Want to learn more? https://lnkd.in/guZKyNei #manufacturing #maintenance #industry4.0 #eam #cmms #predictivemaintenance #riskmanagement #assetperformancemanagement #enterpriseassetmanagement
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Keynote Speaker | Digital Transformation | Sustainability | Connected Enterprise, Building, Product & Factories | Digital Manufacturing, Engineering & Supply Chain | Views are Personal
Explore how embedding controls monitoring into APM can help you solve three unaddressed compressor reliability and performance challenges 👇 https://hwll.co/x9pg4xpw #APM #Turbomachinery
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Most #assetmanagement programs are reactive, addressing issues only after they occur. But what if facilities were able to predict problems and mitigate them before they happen? Learn how to shift from reactive to proactive #reliability strategies in our blog: https://lnkd.in/eUnZFDcQ #reliabilitystrategies #proactivemaintenance #rbi #riskbasedinspection #rcm #reliabilitycenteredmaintenance #mechanicalintegrity #QRO
Moving from Reactive to Proactive Reliability Strategies
https://pinnaclereliability.com
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Global Sr. Strategy Manager, Honeywell Process Solutions covering Oil & Gas, Sheet Manufacturing, Mining, Life Sciences, Energy storage, Emission Management, Hydrogen, Power verticals
Explore how embedding controls monitoring into APM can help you solve three unaddressed compressor reliability and performance challenges 👇 https://hwll.co/x9pg4xpw #APM #Turbomachinery
Achieve Higher Compressor Availability, Efficiency and Sustainability
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A recent poll highlighted that integration was a significant challenge when implementing condition-based maintenance (CBM). Explore these 5 strategic solutions for smoother CBM integration 👉https://bit.ly/4a9aapQ #EUAutomation #ConditionBasedMaintenance #LegacyEquipment
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EU Automation has published a new must-read guide for engineers wanting to deploy condition-based maintenance (CBM) to improve operating efficiencies and increase profitability. The handy guide helps engineers to understand how CBM with real-time monitoring can offer an intelligent solution for maximising equipment uptime – protecting revenues and profits. More on this here 👉 https://lnkd.in/eZ_S3-Dn #ConditionBasedMaintenance
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SWM was developed for maintenance planners by maintenance planners. It was built specifically to address and resolve the pain points you experience everyday by bridging the data gaps from Pronto. Check out our diagram to understand how SWM works to help you work more efficiently and remove those headaches. #miningmaintenance #maintenanceplanning #fixedplantmaintenance #ProntoXi
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If you are one of many organizations that sub-contract your Reliability program to a third party, be aware of what you are getting. At the time when a contractor produces the report, it shows the asset health at that point in time—not in real time. That’s where Control Associates has the tools, technologies, and expertise to help. Contact us. #Reliability #PredictiveMaintenance
Learn About Our Solutions
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