All manufacturers that rely on complex machinery understand that routine maintenance is essential to keep them functioning at optimal capacity. Thanks to advances in IoT, AI, and M2M communication, companies that employ predictive maintenance solutions experience a 25% reduction in maintenance costs. For companies operating in regions prone to seasonal
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
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
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
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
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
PdM Strategies to Detect, Analyze and Correct Efficient production and manufacturing depend on the harmonious contributions of multiple parties and machines. All must work together to ensure that production schedules are kept and the quality of end products meet client demands. Despite operating within an industry where machine disruptions and
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 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
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
“Launching a predictive maintenance program is not merely an operational upgrade; it’s a strategic investment. By anticipating failures before they occur, we not only save substantial costs but also significantly reduce downtime. This proactive approach transforms maintenance from a cost center into a value driver, ensuring our machinery’s longevity and our business’s uninterrupted success.”
