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What Is Risk Analytics?

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Risk analytics is a vital component of risk management that uses statistical models, data analysis, and predictive modeling techniques to assess, quantify, and mitigate risks in various domains.

A Quick Guide to Facility Asset Management

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Creating a well-run facility isn’t as simple as it appears. It requires meticulous planning, dedicated resources, and a keen eye for detail to ensure that all elements, from the largest machines to the smallest fixtures, function as intended.

Is There Really Such a Thing as a ‘Distraction-Free’ Environment?

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One of the things I hear from many people is they want to improve their ability to focus. If they just had a distraction-free environment, they could get the right things done.

Generating Ideas: A Process for Breakthrough Innovation

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Nano Tools for Leaders—a collaboration between 

The First Shingo Prize

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A Revolution in Manufacturing: The SMED System (Routledge, 1985)

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Last May marked the 35th anniversary of the Shingo Prize, an award bestowed each year to recognize organizations that demonstrate the principles and methods espoused by its namesake,

Maximizing Hybrid Work Productivity

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A new study from the University of Birmingham has found that managers have developed a mo

Introduction to Time Value of Money

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Time value of money calculations, including net present value analysis, is important when selecting projects and investments. The calculations are part of the body of knowledge for some of ASQ’s certification exams.

Strong Warehouse Wi-Fi Design Improves Robotic Material-Handling

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It’s increasingly common for today’s warehouse managers to pursue robotic material-handling solutions. That approach can boost productivity, reduce injury rates, and enable companies to adjust to changing demands.

The Power of Observation

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The ability to observe relationships, patterns, and environment may be deemed a “soft” skill, but there’s plenty of hard data supporting the power of observation in the workplace.

How to Avoid Burnout for Shift Workers

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Unpredictable schedules are so disruptive to the lives of employees that even 30 days of high shift variability in a year increases the chances a worker will quit by 20 percent, according to a new study from Wharton experts.

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