In manufacturing today, data analysis tools can give management the information it needs to make better decisions in areas such as maintenance and labor.
Is your enterprise dominated by passive thinking and prescribed routines? Or is it one that generates fresh thinking and unlocks insights into the future?
Do you know what a retailer and a tightrope walker have in common? They both have to balance. For the tightrope walker, the logic is clear. But what’s the balance that a retailer is looking for?
Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies.
Current business conversation often focuses on data and big data. Data are the raw information from which statistics are created and provide an interpretation and summary of data.
According to a report by PwC, industrial sectors worldwide plan to invest $900 billion in Industry 4.0 each year. Despite these growing technology investments, only a few technologies are significantly mature to drive measurable quality impacts.
Lean manufacturing is a philosophy focused on maximizing productivity and eliminating waste while creating a quality product.
In the article, “ANSI’s Role in the Wide World of Standards,” (Quality Digest, March 12, 2019), we looked at where standards originate and how companies a
At James Lick High School the slate-gray Chromebooks are ubiquitous. Rolling cabinets stocked with dozens of the laptops sit in classrooms where teachers assign them to students for everything from researching hereditary DNA to writing essays.
Someone recently asked me why quality failures and safety incidents continue to occur despite organizations communicating their quality and safety visions to the workforce, developing and implementing quality and safety management systems, and campaigning day in and