Too much measurement uncertainty leads to incorrect conformity decisions, incorrect assessment of machines and production processes, poorer process quality and thus, increased production and testing effort.
Automated risk management tools can help manufacturers incorporate risk-based thinking into their processes. Organizations should adopt risk-based thinking to make better decisions, particularly when they must contend with challenging, fast-paced or otherwise uncertain environments.
As expressed in the blog 3 Functional Ways Risk is Critical to Quality Management by LNS Research, an organization’s approach to enterprise quality management should never remain stagnant.
Looking back at my quality career since 1984, I remember contributing to a quality manual of a Motorola Division in 1987-88 for ISO 9001 certification.
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.
What are the consequences of Quality failures? Most of the time, the costs relate to waste, inefficiency and customer dissatisfaction. Sometimes, simple Quality failures can lead to tragic loss of life, environmental damage, and significant financial liability.
Executives are facing challenges to identify the most important risks in their operations and lack adequate systems in their companies to address risk.