Today, organizations face various risks like cyber-attacks, data breaches, system failures, service disruptions, and natural disasters. Identifying and managing these risks at acceptable levels is crucial. Failing to acknowledge these risks can leave organizations unprepared to handle their potential impact.
Most people have heard the phrase, “What gets measured gets done”; however, more than that, organizational excellence comes from having clear world-class performance measures that are consistently achieved.
In many production settings, machine operators are tasked with monitoring processes by taking samples and making adjustments as needed to maintain productivity. However, there's a question worth exploring: What if ignoring these data-driven adjustments and allowing the process to continue unchanged is a better strategy?
3D printing, or additive manufacturing (AM), revolutionizes part production by building them layer by layer from base materials, unlike traditional subtractive methods. In this article, we'll delve into the complexities of additive manufacturing inspection, highlighting the unique nuances of AM-produced parts.
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.