Get the Pulse of Your Manufacturing Assets in Real Time through IoT Solutions Manufacturing is one of the most asset-intensive industries across all verticals. Hence, most manufacturing stakeholders rely heavily on the performance of their high-value assets as a critical differentiator. Hence, tracking and monitoring these assets across the entire manufacturing process and supply chain is not a choice but a necessity. With an IoT-enabled asset monitoring solution, manufacturers can get real-time information about their assets, including their health, availability, productivity, and location. Such an in-depth IoT solution can track, monitor, and maintain a record of all the connected assets, providing an understanding of asset utilization in various operations. Automated and remote asset monitoring driven by IoT solutions is today gaining widespread adoption in the manufacturing sector. The core of any asset monitoring solution is asset tracking. In an IoT enabled ecosystem, asset tracking does not mean knowing just the geographical location of the asset. In addition, IoT sensors and IoT devices allow stakeholders to accurately determine the entire gamut of asset parameters associated with its health, performance, and efficiency. So let’s find out how IoT technology can help you determine the exact pulse of your manufacturing assets round the clock. How do IoT-driven solutions reflect an asset’s health? Asset health involves monitoring assets not just based on the current readings but also equally considering other influencers such as age, historical and productive insights, weather incidents, etc. IoT applications collect actionable data such as temperature, pressure, vibrations or damaged data related to perishable or dangerous assets. This captured information is analyzed and converted into customized insights that reflect the asset’s health. The resulting dashboard display of the asset’s health thus provides critical inputs for taking timely operational decisions. Manufacturers can locate which assets are critical and understand the health of each asset in real time, and compare its current condition to historical performance. The ability to perform predictive and proactive maintenance of assets based on health data, will help in reduced downtime and improved efficiency. Why is an asset’s health data so important? Asset health data helps manufacturing stakeholders achieve the following capabilities: Tracking health and condition of the asset through an interactive dashboard Taking timely actions to prevent sudden breakdowns and production loss With asset health data, companies can get a better idea of how many assets are performing and how many are underutilized
Knowing the health condition of a particular asset will also help decide the type and timing of the maintenance that needs to be performed. Creating a predictive maintenance plan to ensure uninterrupted production, guarantee optimum asset performance and save on reactive repairs. To successfully provide alerts of asset faults that could lead to breakdown Better asset management for people safety Malfunctions and breakdown of machines, on factory floors or at various points along the supply chain are detrimental in any manufacturing vertical. Emerging IoT-enabled technologies can help avert or prevent such mishaps. They improve working conditions and productivity while enabling better safety protocols efficient maintenance. Health of assets will always impact efficiency and productivity, making it paramount for manufacturing sector to invest in smart asset management solutions to track and handle asset operations. WeMakeIoT specializes in leveraging IoT technology to create end-to-end solutions not just in determining an asset’s health within manufacturing ecosystem in real time, but also across every manufacturing ecosystem. Building efficiency across the manufacturing network through industrial IoT applications is one of our core areas of specializations. Connect with us at http://www.wemakeiot.com/ to explore further options in IoT-driven manufacturing solutions.