Guessing is not a strategy: How to build decision velocity with AI and real-time data
June 10, 2026 | Live Webinar
Quality Control
Bob Weinstein is a journalist who covers technology, project management, the workplace and career development.
Quality control has become manufacturing companies’ most important goal for determining profitability. It’s the backbone of the bottom line because it generates revenue.
Manufacturers have taken many paths in order to achieve quality control. But many are finding that it can actually be accomplished through focused and targeted technology efforts. If the technology is doing what it’s supposed to do, the following results can be expected:
-
Dramatically improve efficiency. Multipurpose QC software not only can track and record improvements, but can also correlate them to cost savings. With information constantly being analyzed, all the manufacturing processes can be improved. When software takes on everyday tasks, employees can concentrate on solving unexpected problems.
-
Fine-tune systems. While people evaluate data already gathered, the system analyzes new data.
-
Reduce errors. No matter how efficient and smart, human beings can’t help making errors. They’re incapable of achieving 100 percent efficiency. Systems, however, can come pretty close to achieving that goal. The faster problems can be identified, the faster they can be solved. Problems have a way of mushrooming and morphing into bigger and more complex issues. A half-century ago, manufacturers often discovered serious errors …
Please log in or sign up below to read the rest of the article.
ADVERTISEMENTS
|
"Education is an admirable thing. But it is well to remember from time to time that nothing that is worth knowing can be taught." - Oscar Wilde |