Preventing data entry errors with a modern quality management system improves operator efficiency and ensures product quality, without slowing down production.  

I’ve been pleased to see so many organizations embrace a robust approach to quality improvement through methods like Lean and Six Sigma. There are indeed some detractors out there, but for the most part these are people that have observed failed deployments of quality initiatives. 

Over the past 50 years, computer programming languages have made several significant advancements all focused on making a computer easier to use in a more human-readable format. If you wanted to learn programming in the early days you would have had to learn Assembly Language, a set of binary machine operation codes that instructed the microprocessor how to perform each step. 

Industry 4.0-empowered solutions help manufacturers become more nimble, integrated, efficient, safe and sustainable.

Equipment failure can result in costly product loss for Food & Beverage operations. Learn how to prevent this kind of loss with an early warning predictor powered by SPC.

An SPC (Statistical Process Control) Software customer recently inquired if I could discern any issues in a process, as their customer had identified problems with three recent shipments. They provided data for the customer’s current year shipments for a variety of KPI (key process indicators) in an Excel file. 

How do the world’s best manufacturer’s maintain continuous improvements across all their processes? Learn how to join their ranks.

Operators can now quickly identify issues on the production line without spending all day reviewing control charts. This is how they do it. 

In today’s increasingly connected and intelligent production environment, manufacturers are inundated with data. It can be challenging to see quality data throughout an entire enterprise, which makes it more difficult to lower costs, advance product quality, decrease waste, maintain compliance and boost profitability.