Certainly, quality professionals play an important role in their organization’s pursuit of improvement and customer satisfaction. However, managers must ‘walk the talk’ in pursuit of customer satisfaction.
Much of society has been taught to believe that failure is negative and results in the loss of much effort and resources. This is only true if we allow this thinking to become reality.
If you’re old enough to remember The Lone Ranger, Tonto and Silver (the Lone Ranger’s trusty horse) you’ll also remember the famous silver bullets. Unfortunately, silver bullets only exist in Hollywood, not in the real world. I’ve had several conversations with people whose companies are using lean transformations to pursue the magical silver bullet.
Without a doubt, quality professionals are expected to be well versed in technical skills. Proficiency with the various quality tools and techniques is paramount for the quality professional to lead their organization to performance excellence. In the current environment, that’s just not enough to be truly successful.
No matter your position at your company, have you ever asked yourself, “What are the key elements that drive outstanding performance?” Certainly, having good products and processes are among those important elements but that’s only two legs of a three-legged stool and without that third leg the stool will topple.
Manufacturers typically use two different techniques to assess part conformance and process control: either in-process gaging or final inspection. In-process gaging is measuring the part while it is still in the process of being manufactured and using that data to, sometimes, adjust the process, other times for part conformance.
The first step to process improvement is machine performance measurement and diagnosis. However, it’s a step that many OEMs and service providers—even quality professionals—fail to approach with as much rigor as other steps, like process setting and in-process control.
In business it’s easy to become complacent. Manufacturers can fall prey to continually repeating the same mistakes, disrupting production and damaging profitability.
You can’t escape the buzzwords. The Internet of Things. The Industrial Internet of Things. Edge Computing. Industry 4.0. Big. Data. Every practitioner has their own, slightly different definition of what these terms mean—a fuzzy cloud of vague meaning.