But the Limits Are Too Wide!
When administrative and managerial data are placed on an XmR chart, the first reaction will frequently be that the limits are far too wide: “We have to react before we get to that limit.”
When administrative and managerial data are placed on an XmR chart, the first reaction will frequently be that the limits are far too wide: “We have to react before we get to that limit.”
In today’s rapidly evolving technological landscape, generative artificial intelligence (gen AI) has emerged as a transformative force, reshaping industries and redefining operational paradigms.
In manufacturing, the term connected worker has quickly gone from emerging concept to executive mandate. As companies grapple with turnover, skill gaps, and increasing complexity, the urgency to modernize frontline work has never been clearer.
Most negotiations have an opening bid. That bid becomes the anchor that the rest of the negotiation centers upon. If you’re good at setting anchors—and avoiding being anchored to a number you won’t like—you’ll get more out of your negotiations.
Imagine this: A production line hums along smoothly. Operators clean and check equipment between cycles to spot problems before they snowball. No scrambling. No surprises. That’s what autonomous maintenance looks like.
A page from my workshop notes, October 1989
In October 1989, my company hosted Total Improvement Process Week, one of the most productive experiences of my career.
It’s called “work” for a reason. Most days we’re able to “work” through it and find enjoyment in what we do. But occasionally we’re faced with a grind that saps our strength and threatens to derail us.
Promoting a “flat hierarchy” with fewer layers of managers might sound modern and progressive. It promises agility, equality, and empowerment.
Quality initiatives rarely fail because of bad tools. They fail because people don’t adopt them.
There’s a lot of talk about automation these days, not just in manufacturing circles but also the news in general.
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