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The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.

Purchasing and supply executives expect manufacturing to continue expanding in 2019, according to a survey by the Institute for Supply Management.

Rod Zimmerman of cutting tool manufacturer Iscar Metals lives in a pleasant green zone in a Fort Worth suburb. Yet within a half mile of his home, an oil company has sunk a vertical hole 7,500′ (2,286 m) deep, from which it has splayed nine lateral lines, each going about half a mile.

Drilling advancements have spurred the evolution of oil and gas operations from simplistic single-well pad fields to more complex multi-well pads. Today, many producers are using fracking and lateral drilling techniques to place 10 or more wells on one pad.

Workers in the oil and gas industry continue to be one of the groups at the highest risk of injuries and fatalities on the job compared to all other U.S. industries. The most recent data from the Bureau of Labor Statistics (2015) revealed that out of 120 workplace deaths in the mining, oil, and gas extraction industry, 74 of them occurred within the support activities for oil and gas operations.

With larger turbine components, compared to automotive and aerospace, plus assembly challenges, new machining technologies are gaining popularity. The conventional milling and broaching techniques in turbine blade machining, with the high tooling costs and abrasive flow issues, are fast fading, as modern assembly methods continue to drive machining tolerances to new heights

Cheaper robots with more functions, along with more flexible work cells and installations that facilitate robotics, are accelerating the growth of automated manufacturing facilities in the non-automotive sector. Ideas on whether robotics and automation lead to lights-out manufacturing on the shop floor, though, are mixed.

There is a lot of promise in the coming adoption of Model-Based Definition (MBD) in industry. MBD is the practice of attaching useful information to a 3D CAD model, such as tolerances or material properties. This should be especially good news for manufacturing engineers.

The U.S. auto industry has been automated for decades. Production of cars and trucks is associated with large, hulking robots fenced off from human employees. Inside those fenced off areas, tasks such as welding are performed. The industry, though, is advancing on the automation front.

The growing skills gap is causing trepidation among manufacturers and the lack of millennials building careers within the industry is part of the concern.