The use of industrial vision as part of Industry 4.0 and smart factories has been discussed extensively in recent years, but requires machines to speak the same language.
Machine vision systems consist of several component parts, including illumination, lenses, camera, image acquisition and data transfer, and image processing and measurement software.
Knowing the environment, or being aware of your surroundings, is key to many a task. It’s at least one of the ways we express the importance of having all the information we need in order to reach a goal.
I recently had a discussion with a business leader about quality management systems (QMS), their purpose, and importance to the core business infrastructure. Inevitably these types of discussions leads to whether a QMS is a “bureaucracy.”
Increasingly complex customer and regulatory compliance requirements, tighter time-to-market schedules from customers who want greater product customization, and the constant pressure on costs and pricing make aerospace manufacturing one of the most challenging businesses in the world to compete in.
Hazard- and risk-based approaches to product design and manufacturing may be required by some standards, but they are also simply good practice. These approaches require a more holistic view of the product, intended use, skillset of users, materials, environment, and end-of-life.
The requirements of ISO 9001:2015 are viewed and implemented very differently by organizations, depending upon such variables as their size, resources, business sector, maturity, and external requirements.
For process manufacturing companies, it is a constant challenge to meet their customer’s product quality specifications, while operating as lean as possible.
Enhance quality by capturing stated, implied and silent needs
October 30, 2018
Voice of the Customer (VoC): Enhance Quality by Capturing Stated, Implied and Silent Needs is the first in a series of Insight Reports dedicated to helping you improve your quality management by mastering the Voice of the Customer methods.
“Work smarter, not harder.” It’s a term often heard by just about anyone who has ever set out to perform a task. It can be found on inspirational posters and do-it-yourself home repair manuals as well as articles on life management and corporate handbooks.
Smart manufacturing is enabling the best decisions in the shortest time based on the most accurate and actual real-time data—whether those decisions are made by people, automated machines or cyber-physical systems.