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Where manufacturing downtime was once unavoidable, revolutionary technologies like IIoT and M2M communication have significantly enhanced the way organizations approach machine maintenance. As opposed to employing reactive strategies, manufacturers can now access advanced analytics and remotely monitor a machine’s condition without disrupting production schedules and compromising technician safety. Today, manufacturers can see the full picture …

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In manufacturing, there’s no denying that some degree of machine maintenance should be in place to mitigate failures and downtime. Where the goal of all maintenance strategies is to reach net-zero downtime, the level of maintenance employed will dictate how close an operation is able to come to that ideal benchmark. Whether reactive, preventive, or …

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Where reactive maintenance strategies were used to cope with costly downtime, today’s manufacturers are taking a more proactive approach to machine maintenance and improving equipment efficiency. As IoT capabilities continue to expand and predictive maintenance solutions become more advanced, more and more companies are beginning to implement proactive preventive strategies in their processes to eliminate …

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Efficient production and manufacturing depends on the harmonious contributions of multiple parties and machines. All must work together to ensure that production schedules are met and the quality of end products meets client demands. Despite operating within an industry where machine disruptions and delays significantly affect the bottom line, many companies continue to employ reactive …

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As more and more baby boomers near retirement, the resulting labor and skills gap in the manufacturing industry continues to expand. To diminish the effects of unfilled positions, many organizations traditionally work to capture and retain the tribal knowledge of their most seasoned employees in order to ease the information transfer to the next generation …

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As technology continues to evolve and transform industries, it is clear that communication remains key. Unlike traditional human to human verbal communication strategies, today’s powerhouse manufacturers employ machine to machine, or M2M, communication technologies to operate at peak efficiency. M2M vs IoT Before delving deeper into M2M as it relates to manufacturing, it’s important to …

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To succeed in today’s global marketplace, you must adopt and utilize technological advancements that are currently revolutionizing industry. Each day, new solutions emerge that transform and disrupt current markets. This trend is evident when analyzing the predictive maintenance market. New technology has streamlined the predictive process in ways that were unfathomable only a few years …

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Predictive maintenance strategies are becoming a must-have in plant manufacturing. Implementing predictive maintenance allows technicians to “see” into their equipment, determining specific issues before they cause equipment failure. Once the exact point of error is established, predictive maintenance systems can provide actionable solutions. Over time, data gathered throughout a manufacturing plant can be analyzed to …

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The Internet of Things (IoT) has changed the way manufacturing plants and other related businesses operate. With equipment sensors gathering machine data and providing maintenance solutions, production is streamlined and enhanced. In fact, many of the top 2% of manufacturing companies leverage IoT solutions by implementing predictive maintenance systems to ensure peak performance and efficiency. …

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Condition-based maintenance employs a strategy where maintenance is performed once one or more indicators show that equipment will fail or performance is deteriorating. Time-based maintenance tasks for machines shown to be running well are avoided, eliminating the possibility of introducing a defect into the system. Condition-based monitoring (CBM) is the core of condition-based maintenance. Technologies, …

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