The obvious reasons for automating quality in manufacturing are to reduce scrap, rework, overtime and costs while simultaneously increasing productivity and customer satisfaction. The non-obvious reasons include employee satisfaction, customer referrals and market growth. Automation also give managers and line workers insights into ongoing production. These insights enable employees to be proactive about adjusting production rather than reactive.
When it comes to statistical process control (SPC), capability analysis and quality control, companies often want to take a one-size-fits-all approach to choosing software. Unfortunately, most companies don’t make one widget. They have short runs and longer runs of many different products. Some manufacturers are small and some are huge. I’d like you to consider that a one-size-fits-all approach may work well in your sweet spot, but not so well when you move into other areas of production.