Capturing and analyzing high-value data isn’t as simple as it seems, considering the vast amount of data available in a manufacturing environment. Manufacturers need to collect, analyze, and present real-time data and analytics in easy-to-understand and highly customizable formats – or as often referred – the Industrial Internet of Things (IIoT). Bottom line: Identify, analyze and manage more data, on desired devices, and share it more widely across the operation.
Key operational metrics such as overall equipment effectiveness (OEE), machine uptime and capacity utilization allow manufacturing managers to quickly view the performance of a particular machine or area of the production floor and adjust as needed.
Questions that must be asked:
• What data is needed and important
• What can be done with the data
• How can this data be used to enable efficiency and innovation
• What technologies are needed to capture, view, and manage the data
Even with the latest IIoT technology, many are still left with legacy (manufacturing) machinery with no built-in data collection mechanism. This presents a significant challenge. Manufacturing companies are eager to make older equipment IoT-compatible to better connect the factory with business stakeholders and to better enable decision- making across the organization.
The benefits of real-time monitoring of both machine and process data are many, including:
• Improved overall productivity, efficiency, and quality
• Improved data accuracy and integrity
• Elimination of unnecessary downtime as production and maintenance issues are identified before they become a problem
• Reduced production monitoring expenses
• Better overall decision making
Learn more by attending our Webinar – Manufacturing in 2020 & Beyond: Not Business as Usual