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Discover our new post about Industrial Maintenance ! 🎣 Get a complete overview about : - What is Industrial Maintenance ? - What are the different Industrial Maintenance Strategies ? - How Industrial Maintenance Technology Is Used ? - What the future of Industrial Maintenance looks like ? Click on the link below to read our post ! 👇 https://lnkd.in/dvn9D7gr #maintenance #industry40 #maintenancetechnology

Maintenance: We Have the Solution! ⚙️Maintenance is crucial for keeping equipment in optimal condition, ensuring it performs its dedicated tasks efficiently. This includes everything from minor part replacements to major operations and fine-tuning of machines. Regular and effective maintenance is vital for #optimizing productivity, #reducing downtime, and ensuring a safe working environment. 💸 However, #industrial maintenance and its management represent a significant cost factor. Anticipating faults can reduce emergency repair costs, extend equipment lifespan, minimize unplanned downtime, and save on energy costs. These benefits underscore the importance of robust maintenance strategies. 🫰 Here’s where things get interesting: industry reports and standards reveal that 35% of companies spend more than 10% of their operating budgets on maintenance. Estimates for manufacturing machinery maintenance costs range from 15% to 70% of the cost of goods produced. Moreover, the Aberdeen Group calculates that unplanned equipment downtime costs, on average, $260,000 (€220,400) per hour. 💡To manage maintenance effectively, certain metrics are crucial: Mean Time To Repair (MTTR)Overall Equipment Effectiveness (OEE) Planned Maintenance Percentage (PMP) ⏲️Focusing on MTTR, it reflects the average time required to troubleshoot and remedy an issue, starting when a fault is discovered and including diagnostics, repair, testing, and other actions until the service is restored. The complexity of the equipment and the availability of comprehensive documentation can significantly impact MTTR. 📄 Sophisticated machinery often requires more time for diagnosis and repair. 🔍 Now, while we can't influence the availability of spare parts or the complexity of repairs, we at CADAICO can help you cut diagnostic time by 70% with our MaintAIn Assistant – an AI assistant for maintenance. MaintAIn Assistant is designed to streamline troubleshooting, enabling maintenance technicians to resolve machine faults faster with features like voice input, chat function, real-time feedback, and easy implementation within 24 hours. 🤖 Transform your maintenance operations with MaintAIn Assistant and experience the efficiency of AI-driven solutions. Reach out to us to learn more or request your demo today: https://lnkd.in/daTE7wuX

When considering scheduled vs. unscheduled maintenance, there is a clear difference in the way each type of procedure affects productivity, efficiency, machine service life and output quality. Take a look at each type and learn why scheduled maintenance is a more practical option for those looking to improve their facility’s overall operations: https://bit.ly/3jirxe5 #Manufacturing #Maintenance #IndustrialMaintenance

Are you tired of unexpected equipment downtime halting your operations?  Predictive maintenance can help detect potential issues before they lead to expensive breakdowns.  Check out this article to learn more about the basics of predictive maintenance. #predictivemaintenance #maintenancebasics #industrialautomation  

What is Industrial Maintenance? ⚠️ Industrial maintenance, also called plant maintenance, is a series of focused processes designed to increase uptime, reduce equipment failure, and improve reliability. Manufacturing environments use industrial maintenance as an essential tool for controlling costs and ensuring that assets run in peak operating order. Industrial maintenance can involve various maintenance activities, including equipment checks, servicing (repair and replacement of parts and software with planned obsolescence), building infrastructure, and installation support. Each maintenance activity adds a layer of certainty to the production process by helping to deliver the highest product quality while keeping quotas on time. These maintenance activities also can help build a comprehensive industrial maintenance strategy. While there is no one-size-fits-all strategic alignment for industries, creating an efficient and effective industrial maintenance strategy is possible with the knowledge of a facility’s assets and processes and the maintenance activities at an organization’s disposal.

Action instead of reaction: 𝗙𝗶𝗿𝘀𝘁 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗺𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 𝗳𝗼𝗿 𝗺𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗶𝗻 𝗿𝗼𝗹𝗹𝗶𝗻𝗴 𝗺𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗹𝗶𝗻𝗲𝘀. #bePART, become a pilot customer and benefit from the attractive advantages of our predictive maintenance services. 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝘆𝗼𝘂𝗿 𝘀𝘆𝘀𝘁𝗲𝗺 𝗻𝗼𝘄: https://lnkd.in/e2HyQgGE High availability of measurement, inspection and detection systems over their entire lifetime is a basic requirement for smooth production operations in rolling mills and process lines. If a measurement system fails unexpectedly, this usually means that the entire line comes to a shutdown. Such incidents are associated with high losses in revenue, especially in the production and processing of steel and aluminium. As part of Industry 4.0, predictive maintenance has already found its way into many industrial sectors. This AI-driven form of maintenance, also known as Maintenance 4.0, is essentially about optimising maintenance strategies and measures and increasing the service life of machines and systems. IMS Messsysteme GmbH is the first company in the industry to offer operators of rolling mills and process lines the opportunity to integrate the measurement systems in their production facilities into a specially developed predictive maintenance process. The pilot project to this end is nearing completion and is already benefiting from the high level of interest shown by pilot customers and the real-time monitoring of the first measurement systems to be used in live operation and integrated into the proactive maintenance process. Additional sensors of various types continuously transmit physical parameters relevant to operation, such as times, currents, flow rates, accelerations, humidity and more, which are continuously stored on a server. The status of all active systems worldwide is displayed on a control monitor called MARS (Monitor All Remote Systems) and monitored by our service team. The status report includes not only the current operating status of the system, but also a forecast of when and in which components a failure is likely to occur. This monitoring and forecasting mechanism enables our service colleagues to proactively inform customers of expected problems and plan an appropriate service visit to repair or replace the component in question. In addition, the analysis of the transmitted data allows general conclusions to be drawn about the environmental conditions in the production facilities, thus offering fundamental potential for optimising the production system.   𝗧𝗵𝗲 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗮𝗿𝗲 𝗼𝗯𝘃𝗶𝗼𝘂𝘀: - Optimum plant availability through reduced downtime - Maximum output with the highest product quality - Maximisation of service life of measurement systems - Optimised deployment of service teams on site and predictable maintenance times

Action instead of reaction: 𝗙𝗶𝗿𝘀𝘁 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗺𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 𝗳𝗼𝗿 𝗺𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗶𝗻 𝗿𝗼𝗹𝗹𝗶𝗻𝗴 𝗺𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗹𝗶𝗻𝗲𝘀. #bePART, become a pilot customer and benefit from the attractive advantages of our predictive maintenance services. 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝘆𝗼𝘂𝗿 𝘀𝘆𝘀𝘁𝗲𝗺 𝗻𝗼𝘄: https://lnkd.in/e2HyQgGE High availability of measurement, inspection and detection systems over their entire lifetime is a basic requirement for smooth production operations in rolling mills and process lines. If a measurement system fails unexpectedly, this usually means that the entire line comes to a shutdown. Such incidents are associated with high losses in revenue, especially in the production and processing of steel and aluminium. As part of Industry 4.0, predictive maintenance has already found its way into many industrial sectors. This AI-driven form of maintenance, also known as Maintenance 4.0, is essentially about optimising maintenance strategies and measures and increasing the service life of machines and systems. IMS Messsysteme GmbH is the first company in the industry to offer operators of rolling mills and process lines the opportunity to integrate the measurement systems in their production facilities into a specially developed predictive maintenance process. The pilot project to this end is nearing completion and is already benefiting from the high level of interest shown by pilot customers and the real-time monitoring of the first measurement systems to be used in live operation and integrated into the proactive maintenance process. Additional sensors of various types continuously transmit physical parameters relevant to operation, such as times, currents, flow rates, accelerations, humidity and more, which are continuously stored on a server. The status of all active systems worldwide is displayed on a control monitor called MARS (Monitor All Remote Systems) and monitored by our service team. The status report includes not only the current operating status of the system, but also a forecast of when and in which components a failure is likely to occur. This monitoring and forecasting mechanism enables our service colleagues to proactively inform customers of expected problems and plan an appropriate service visit to repair or replace the component in question. In addition, the analysis of the transmitted data allows general conclusions to be drawn about the environmental conditions in the production facilities, thus offering fundamental potential for optimising the production system.   𝗧𝗵𝗲 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗮𝗿𝗲 𝗼𝗯𝘃𝗶𝗼𝘂𝘀: - Optimum plant availability through reduced downtime - Maximum output with the highest product quality - Maximisation of service life of measurement systems - Optimised deployment of service teams on site and predictable maintenance times

🛠 Prescriptive, Predictive, Preventive maintenance - these approaches keep operations seamless, minimize downtime, maximize equipment lifespan and are becoming essential across the industry. #intralogistics #warehouse #material handling https://lnkd.in/egpmYMcx

There will be pressure on a firms resources when the maintenance team are continuously in the engineering store to pick spares repeatedly to manage breakdowns on the plant floor. Breakdowns and failure are inevitable when managing operations, but what I know is that it can be anticipated. With a well structured maintenance program, breakdowns can be managed. Maintenance programs are essential for ensuring the smooth operation, reliability, and longevity of manufacturing facilities. Stated below are several types of programs, each with its own objectives and strategies: Preventive Maintenance (PM): Scheduled maintenance activities performed at regular intervals and designed to prevent equipment breakdowns and reduce the likelihood of unexpected failures, this includes tasks like equipment inspections, lubrication, calibration, and minor repairs. Predictive Maintenance (Pd-M): Utilizes data and monitoring techniques to predict when equipment will fail and it relies on sensors, condition monitoring, and predictive analytics. Helps minimize downtime and optimize maintenance schedules. Corrective Maintenance (CM): Also known as breakdown or reactive maintenance, it involves repairing equipment after it has failed. Typically results in higher downtime and increased repair costs compared to preventive maintenance. Reliability-Centered Maintenance (RCM): A systematic approach to maintenance that identifies critical equipment and prioritizes maintenance efforts. It focuses on optimizing maintenance resources by tailoring tasks to specific equipment needs. Total Productive Maintenance (TPM): This is a comprehensive approach that involves all employees in maintenance activities. Aims to maximize equipment effectiveness, reduce defects, and improve overall productivity. Condition-Based Maintenance (CBM): Monitors the real-time condition of equipment to determine maintenance needs. Uses sensors and data analysis to make repair decisions and helps prevent unnecessary maintenance tasks and reduces costs. Risk-Based Maintenance (RBM): Considers the criticality and risk associated with each piece of equipment prioritize maintenance tasks based on risk assessment. It ensures that resources are allocated to the most critical assets. Proactive Maintenance: Focuses on identifying and addressing the root causes of equipment failures and aims to improve equipment reliability and performance. Run-to-Failure (RTF): Applicable for non-critical or easily replaceable equipment. Maintenance is only performed when equipment fails, and it's more cost-effective to replace than maintain. Scheduled Overhaul Maintenance: Involves periodic, comprehensive maintenance of equipment or systems. This typically performed on a long-term schedule, such as every few years, to extend the equipment's life. Type of equipment, its criticality, available resources, and the organization's goal aid the choice of program. #maintenanceengineering #workingcapital #reliabilitycenteredmaintenance

The efficient operation of industrial machinery hinges on two critical maintenance strategies: proactive maintenance and predictive maintenance. While both approaches fall under the broader umbrella of condition-based maintenance, their methodologies and impacts are distinct and complementary. Read more from Bennett Fitch! https://bit.ly/3RU0Q2z