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As machine vision technologies improve, providing more data more frequently, new uses for inspection during the manufacturing process are emerging. The automotive industry might represent the ultimate challenge to providers of machine vision equipment used in robotic guidance and material inspection.

Many precision grinding machines on the market already offer their users near-perfect tolerances, leaving one to wonder: What’s next in grinding? But tool builders still have plenty of room to add valuable new improvements, machine shop owners say.

Metalworking fluids have never been the most glamourous part of manufacturing. That’s been reserved for areas such as additive manufacturing, where complete parts are printed from a digital file, one layer at a time. However, most manufacturing today still consists of parts being cut, shaved or otherwise machined.

Batch and queue is the hallmark of a mass production system. Parts are processed, moved in large quantities to the next process, wait for their turn, are processed, and moved as a batch to the next process.

Despite falling oil prices, the investment valve in the oil and gas industry remains on—for now—as manufacturers continue their race to provide large, precision parts for fracking, subsea drilling and other related activities. But as anybody in the energy sector knows: this is the land of boom or bust.

Here’s something you can cut out and hang on your bulletin board if you run a manufacturing company, large or small. I’ve spent nearly 60 years thinking about the factory floor, and here’s how I believe it should be run.

The industrial world is continuing its adoption of Geometric Dimensioning and Tolerancing (GD&T), the advanced tolerancing methodology. The symbolic language is intended to be both more precise while providing more latitude in allowable variations, replacing the simpler method of adding tolerances to each dimension.

Investing in factory automation for the first time is a big decision for many CNC machine shops. For Loveridge Machine (Salt Lake City, UT), owner Dennis Loveridge thoroughly researched his options before making a decision for his high tech job shop.

“Five years ago, our fit and finish was below average,” said Dr. Raj Kawlra, director of dimensional strategy and management of Chrysler Group (Auburn Hills, MI). “To be the future world-leaders, we knew that we had to focus on all aspects of quality … vehicles that look good, feel good, sound good, and are reliable.”

Process improvement encompasses a wide range of tools, techniques and strategies. When properly deployed, shop-floor data collection and monitoring systems can help factory-floor managers leverage key data metrics including overall equipment effectiveness (OEE) and total effective equipment performance (TEEP) that measure machine uptime and pinpoint bottlenecks or other problems in order to improve machining performance.