It’s the too common plant management problem: too much data too poorly defined and improperly collected to be usable for process management and continuous improvement.
Automation and manufacturing system expert Charlie Gifford took on these issues in our recent webinar, “Designing Data Collection for Consistency that Improves Process Management”. One conclusion: since no quality system can be better than the data entering the system, management needs to step back, look at the process and determine: