As energy becomes more expensive and sustainability more prized, manufacturers are under the gun to reduce energy consumption. Process monitoring, which standardizes and optimizes manufacturing processes— helps to make this possible in the age of Industry 4.0.

In the middle of the most chaotic, uncertain months of 2020, manufacturers discovered that the perfect antidote was to double down on quality and reliable delivery—turning to their enterprise resource planning (ERP) systems for the timely insights needed to navigate rapid changes in market demand and resources across their supply chains. 

With the manufacturing industry growing more complex every day, it’s hard to imagine operating a manufacturing enterprise without an ERP system. The software provides a critical central communication point for the business, handling all activities from quote to cash and everything in between. 

Success and growth in the world of connected manufacturing relies on the complete digital integration of products, processes, and data. EPLAN software solutions provide an engineering architecture with a component article database foundation.

As expressed in the blog 3 Functional Ways Risk is Critical to Quality Management by LNS Research, an organization’s approach to enterprise quality management should never remain stagnant. 

The American Society for Quality (ASQ), along with many other organizations, define statistical process control (SPC) as the use of statistical techniques to control a process or production method.

Before we can talk about reverse engineering as an application, it is important to understand how and why it has emerged as a critical metrology tool for manufacturers, and how it fits in the rapidly evolving digital workflow. Just a few years ago, the term ‘reverse engineering’ was associated more with industrial espionage, stealing designs, or product features from competitors. What has changed? 

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.