Items Tagged with 'data collection software'

In the fast-paced manufacturing industry, agility is vital for adapting to design changes. A centralized method for tracking modifications ensures team alignment, reduces miscommunication, and enhances productivity, fostering collaboration to keep up with innovation.

Think ahead. Invest in your future. While this proverbial advice applies to all aspects of life, we will explore its relevance to young manufacturing businesses and their data management needs as they evolve from startups to market leaders.

Foundational benefits of today’s wireless measurement systems include automation, ease of operation, streamlined scalability, robust data encryption and protection, unrestricted distances and unencumbered use for transmission. Now it’s time to plan how to implement the system.

Artificial intelligence has landed on our doorstep and will change the complete environment of data collection, data analysis, and real-time action. Not only has AI landed, but it is also here to stay, and parts can be used immediately.

Manufacturers looking to improve their processes require precise and accessible real-time statistical process control (SPC) data.

The Internet of Things (IoT) and, in a broader sense, the Fourth Industrial Revolution (Industry 4.0) is the omnipresent new paradigm in manufacturing today, profoundly affecting the way manufacturers are operating or are planning to operate.

Manufacturers can unearth valuable insights from test data from various sources by employing statistical algorithms and machine learning to establish patterns and predict future outcomes and trends.

When Donald Engineering sales manager Jim Kortman describes his aluminum extruder client of 28 years, he reaches for a deceptively simple analogy: the Play-Doh Fun Factory. 

When it comes to medical and pharmaceutical manufacturing, errors can be dangerous.

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.