Since the Industrial Revolution, manufacturing processes have undergone several revolutions characterized by ever-greater automation. Today, the fourth industrial revolution, known as Industry 4.0, takes advantage of big data and machine learning to drive smart, highly automated processes. A pretty familiar concept.

Less well understood, but equally momentous, has been a parallel evolution in asset maintenance. Maintenance 1.0 relied on highly-trained specialists to visually inspect machinery. Maintenance 2.0 gave humans instrumentation to measure how equipment was running, while Maintenance 3.0 used real-time monitoring to understand the condition of an asset systematically and programmatically. Now with the Internet of Things (IoT) collecting sensor data, Maintenance 4.0 sees that data captured in a data lake repository, and algorithms and analytics applied to better predict when a given asset will fail, and how to correct the problem—preventing a potential foo ...  >>

The report reveals that new technologies and solutions are developing at a fast-pace and disrupting industries on multiple fronts, with supply chains struggling to keep up. The global survey of nearly 350 supply chain and operations professionals reveals that 95% of respondents are not fully capitalizing on the pote  >>