Benefits of asset performance management
In the high-octane environment of automotive manufacturing, extra precautions are needed to make sure production equipment is running at optimal efficiency.
One of the key challenges today is having full traceability in automotive manufacturing. From parts to historical data, the management of this enormous data is required and regulated. With APM, your asset and maintenance traceability compliance issues are solved.
Spare Parts & Consumables
Many organizations keep extra materials on hand but stockpiling spare parts may not be a wise practice. Extra materials can degrade over time. HxGN EAM enables organizations to identify key components to have on hand and which ones aren’t needed—reducing the overall cost of inventory.
Internet of Things (IoT)
Real-time analytics, multiple technologies, machine learning, commodity sensors, and embedded systems have all contributed to evolution of “things”. Automated asset and situation management enables IoT to be used for industrial applications and smart manufacturing.
Efficiency is more than just throughput. It is about sustaining optimal throughput. By monitoring energy usage, managing waste, and incorporating modern preventive and conditional maintenance processes, your efficiency will be long-lasting.
All organizations want to create accurate budgets. When it comes to asset management in high-end production facilities, precision budgeting means predicting what assets the organization will need to purchase or replace given operating conditions and business conditions.
Enterprise asset management software enables organizations to capture large amounts of data. Automated analytics and reporting help managers capture the essence of the data immediately, shorten the decision process, and enable data-based decision-making.
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Traceability. HxGN EAM allows maintenance supervisors and technicians to immediately view full historical data, complete with documentation and specifications. With the help of the native mobile app, all this information can be accessed from a tablet or mobile device as well, making audits and inspections available at your fingertips.
Energy optimization. HxGN EAM allows you to establish and monitor a corporate energy strategy by benchmarking, monitoring, comparing energy performance of your assets while eliminating wasteful spending.
Facilities management tools. The manufacturing facility itself is an asset. HxGN EAM contains strong facilities management tools that help reduce costs, lessen downtime and risk, while increasing compliance, reliability, and customer satisfaction.
Four key capabilities of HxGN EAM in Automotive OEM
Real-time condition data
Almost all of today’s automotive manufacturing and assembly machines are connected to control systems through real-time sensors that show the condition of a part or component at any point in the manufacturing process.
Combining these measurements with asset data and work history data provide a framework for triggering work orders that direct maintenance teams to fix equipment before it fails in order to avoid compromising throughput.
The asset registry tracks metadata, the position of the equipment in the manufacturing line, and real-time data about the asset. Metadata also includes information about stock levels, serial numbers, historical data, and more.
The asset registry is the heart of the EAM system. It serves as the central digital source for information about all assets that are critical to organizational efficiency.
Most organizations rely on OEM specifications to perform preventive maintenance tasks, but that is not always the most efficient method.
By tracking work orders, maintaining a real-world history of what happened to assets, organizations can better predict failure and proactively maintain assets. Root cause analysis provides valuable information that helps establish a reliability centered maintenance program.
Modeling analytics and connectivity
Analytics enable organizations to take asset registry, work order, and sensor data to predict what might happen in the future under similar circumstances.
For example, an automotive manufacturer can simulate how the asset would respond to urgent heavy usage to meet production demands and calculate the additional costs associated with maintenance necessary to keep the machine running at optimal efficiency.