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Manufacturing Technology Insights | Thursday, July 22, 2021
Simple dashboard and reporting solutions, which were less expensive and provided some insight into operational performance, were introduced into the market by MI providers.
FREMONT, CA: Manufacturing intelligence appears to be something that every company should have. After all, everyone wants to be as smart as possible. Industrial Intelligence (MI) has a tumultuous history in the manufacturing software industry. MI is a phrase coined in the 1990s by software companies looking to differentiate themselves from MES (Manufacturing Execution System) providers. Since then, MI has established itself as a valuable, highly specialized decision support enabler on which every manufacturer should now rely.
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Looking back at the evolution of MES programs, they all featured shop floor control, critical work management capabilities, and, of course, the capacity to carry out these plans. MES software was complex, challenging to maintain, and expensive at the time, especially in multi-site, large-scale production operations, due to the state of technology at the time.
MI Vendors Are Newcomers to The Market
Simple dashboard and reporting solutions, which were less expensive and provided some insight into operational performance, were introduced into the market by MI providers. Visually appealing charts and gauges that were utilized to market the systems with a visual ‘flair’ were frequently one of the essential selling elements. The difficulty with many of the early MI programs was that they took whatever data was given to them and displayed it on screens and dashboards, exemplifying the IT adage ‘Garbage In, Garbage Out’ (GIGO). Today's MI tools are a long cry from those of the past.
The Next Generation of MI
While traditional MI applications were often just tools for creating simple dashboards to display manufacturing data collected on the shop floor, new solutions are now focused on collecting all of the valuable data that can now be obtained in near real-time from a much broader range of processes, equipment, and applications. The data must be presented visually appealing, but the data's depth is now far greater than what was thought conceivable just ten years ago. Additionally, when businesses add advanced business analytics features like extremely robust regression and extrapolation models to the mix, the benefit of investing in a highly specialized MI solution skyrockets.
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