In the manufacturing world there are many different types of data collection. Some types involve production counts or machine up time, but this discussion is centered on data collection for establishing and monitoring product quality. 

Quality’s continuing conversation with Jason Chester, Director of Global Channel Programs for InfinityQS, on SPC and the smart factory. This is the final part of the three-part series of our conversation.

Statistical process control (SPC) software is a large part of data collection and analysis in the modern manufacturing environment where quality control is a necessity. To understand what is needed from SPC software nowadays, we need to first understand the difference between traditional, on-premise SPC software and an e-commerce SPC solution.

Quality’s continuing conversation with Jason Chester, Director of Global Channel Programs for InfinityQS, on SPC and the smart factory. This is part two of the three-part series of our conversation.

Since the economy climbed out of the last recession, “Help Wanted” signs have become a common fixture near manufacturing facilities all over the United States. With 10,000 baby boomers reaching 65 each day, retirements are leaving a significant experience gap to be filled.

When mulling over options for a new SPC software solution, multiple factors may be at play.

ARaymond, an industrial supplier of fastening and assembling solutions, rose from humble beginnings. Founded in Grenoble, France in 1865, the family business “started out making fastening elements for the glove and footwear industry,” says Jake Fox, senior quality engineer at ARaymond’s Brunswick, Ohio location.

Looking into new software for statistical process control (SPC) can be challenging and often confusing at the outset. This is because many providers claim to have similar features like real-time data collection and easy installation, though results may vary.

The case for standardization: what it is, why it is important, and what can it do for your organization.

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.