Manufacturers and quality teams stand to benefit from Automated Machine Learning (AutoML). The technology can streamline their processes, boosting quality improvement, maintenance and analytical insights.
Careful implementation of optimal tools and techniques is a focus of Optikos Corp. (Wakefield, MA), an optical engineering and manufacturing company working to eliminate waste in product movement, downtime, and product defects.
We all know that quality is important. Assuring quality delivers an array of benefits – from utilizing less resources, promoting customer loyalty and brand satisfaction, and of course, overall savings when things get done right the first time. According to Gartner’s 2022 Market Guide for Quality Management Systems, "The often-repeated but seldom-followed notion that 'quality is everyone’s job’ is now being realized at an unprecedented scale."
For many successful men and women in all walks of life, the key to success was that they were motivated more, at least in the beginning, by what was needed, or by what they felt they had to do, than thought of financial gain.
Recently I had a discussion with a quality manager concerning the focus of quality and what skills are important to success. It centered on the degree of focus which should be placed on the quality tools versus people and teams.
Although personal attitudes are influenced by core values, it is greatly influenced by management. Employee attitude about the product, about their work, about their managers, and about the organization will ultimately determine the quality of their work.