Operational data is the lifeblood of digital manufacturing. By delivering the right information to the right worker at the right time, you empower workers to make better decisions. When you use smart machines that can diagnose or resolve issues on their own, you create smarter operations with less downtime.
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To understand how to use data from the Industrial Internet of Things is the basis of a connected enterprise approach. Some of the most important data available to you is the embedded intelligence in smart machines and equipment.
Gathering data such as equipment status and exception-based reporting can give you new insights into your processes and help you optimize assets. Embedded intelligence can help you:
Organizations that are innovative put digital manufacturing to work to reduce manual processes, increase production volume, and improve business results. See how organizations digitize their processes to unlock business value.
When you extend operational intelligence to all functions in your organization, and to your suppliers and customers, you create the foundation for demand-based manufacturing.
A new order triggers a manufacturing execution system (MES) to produce instructions and workflows. Intelligent manufacturing lines configure themselves, and raw materials arrive as they are needed. After the order ships, the MES communicates with ERP-level business systems, and sends critical information to suppliers. Delivery-performance data and product-quality data are sent back to the plant, which allows operators to address and resolve potential issues. This process is digital manufacturing at work.
Digital manufacturing transforms how you see your operations. Gone are the days of manually collected data that only provides a snapshot in time and is prone to human error. Real-time analytics software takes the Industrial Internet of Things data that is automatically and continually collected from several sources and contextualizes it into meaningful information for workers.
These analytics create greater transparency of your operations and provides better visibility into complex production processes. Operators and technicians can use the analytics for critical, real-time decision making to help boost productivity. Decision makers across functions also can monitor nearly every aspect of their operations. This information allows them to resolve quality, safety, compliance, energy-usage, and downtime issues.