Blame it on Moore’s law. We live in a digital Pangaea, a world of borderless data driven by technology, and the speed and density with which data can be transmitted and handled.

It’s no secret that manufacturing companies operate in an inherently unstable environment. Every operational weakness poses a risk to efficiency, quality, and ultimately, to profitability.

For nearly a century, statistical process control (SPC) has been the cornerstone of quality management and process control. But traditional SPC can’t keep up as the pace of manufacturing accelerates.

El-Com Systems Corp. is a wholly-owned subsidiary of El-COM Systems Solutions based in California. The local company has been in Puerto Rico since 2016 operating in Caguas.

One of the most practical data visualization books for my clients is Storytelling With Data (Wiley, 2015).

Setting the process aim is a key element in the short production runs that characterize the lean production of multiple products.

So many companies are shifting their employees to working from home to address the Covid-19 coronavirus pandemic. Yet they’re not considering the potential quality disasters that can occur as a result of this transition.

During the last several decades, many forward-thinking manufacturers have adopted factory automation for all that it promises—greater efficiency, consistency, productivity, and cost savings.

Lean production of multiple products is built on the assumption that the process aim can be properly set for each short production run. This article will describe how to set the process aim so that your short production runs can be on target.

Story update 5/6/2020: The charts and some data have been updated to reflect the data available on the date this article was published.