It’s no secret that the manufacturing and processing industries continue to face a growing skills gap. Deloitte predicts that 4.6 million manufacturing jobs will be created over the next decade and as many as 2.4 million of those positions are likely to remain unfilled. This challenge is exacerbated by the rapid pace of technological change.
The abundance of open jobs in the manufacturing industries is not merely due to a lack of labor in the quantitative sense. New workers, even when available, are increasingly required to possess a set of abilities that differ from those needed in the past. Previously, skilled manufacturing employees would have needed knowledge of application or machine-specific processes. Today, the qualifications have become much more complex.
“Once upon a time, workers had tribal knowledge. They knew individual machines, programmable logic controller (PLC) design and programming, sensors, wiring, and so on. It was a very specific skillset that centered around particular elements of a process or machine,” says Ben Orchard, senior application engineer at Opto 22. “Think about a bottling plant. It’s very high speed, and if something goes wrong, there’s a lot of breakage and a lot of downtime. As a result, everything is done to keep that machine or process running. A worker’s skills would be very fine-tuned around that exact aspect of production.”
Moreover, these machines and processes ran predominantly on proprietary systems. When data was extracted, it was rudimentary in nature and only historicized for display on localized human machine interfaces (HMIs) that provided operations and maintenance personnel with insights into that machine or line. By contrast, data is now widely extracted from an array of assets and must be formatted in such a way that it can be sent to higher-level—sometimes external—systems and integrated with other data sets effectively.
“Customers now want all of their data brought in… [which] presents challenges to the way we used to do things,” says Travis Cox, co-director of sales engineering at Inductive Automation. “The protocols and architecture have completely changed these days from what they used to be. We now have to leverage many new technologies from the IT space, such as MQTT (message queueing telemetry transport), SQL databases, and APIs (application programming interfaces). We need a more comprehensive skillset than in the past. Workers have to be able to not only build the operational piece of a system, but also figure out how that integrates with everything else.”