Digital Twin in Manufacturing

How Digital Twins are Completely Transforming Manufacturing

With the rapid pace of technological growth, it’s not always easy to imagine where digital transformation is taking the manufacturing sector, but one…

Feature engineering - machine learning for manufacturing

Feature Engineering for Machine Learning:
An Introduction for Manufacturers

What is Feature Engineering? Feature engineering is recognized by data scientists as a critically important part of designing machine learning…

OEE benchmarks in manufacturing

The drive to measure OEE: benchmarks, business goals and more

Overall equipment effectiveness (OEE), a term coined by Seiichi Nakajima in the 1960s, has become the golden measure of measuring manufacturing…

Total Productive Maintenance & Industry 4.0

How Industry 4.0 Brings Total Productive Maintenance
into the Digital Age

Industry 4.0 is disrupting manufacturing on multiple fronts – from production throughput, predictive maintenance and quality, to supply chain and…

How the Precision of Process-Based Machine Learning Solves Manufacturing Disruptions

How the Precision of Process-Based Machine Learning
Solves Manufacturing Disruptions

Predictive maintenance, predictive quality and automated root cause analysis are industry 4.0 initiatives driven by the power of AI and machine…

IoT Platform Solutions - choosing a platform per business solution

Pick solutions, not platforms!
How to choose an Industrial IoT platform

“If it ain’t broke, don’t fix it.” That common phrase once defined manufacturing’s approach to optimization. But today, enterprises are painfully…

In manufacturing, digital twin solutions represent “real-world” equipment, machines, factories, and plants.

5 Ways Digital Twin Solutions
Predict and Resolve Manufacturing Issues

A digital twin is a digital replica of a physical asset, device, system, place, or person. In manufacturing, digital twins are used to represent…

Tips for Choosing Predictive Maintenance Software

Looking for Predictive Maintenance Software? First, read this…

Predictive maintenance (PdM) is probably the business use case most responsible for drawing manufacturers to Industry 4.0 adoption. Preventive…

Asset Performance Management in Food & Beverages Manufacturing

Asset Performance Management in Food & Beverage Manufacturing

The cost of maintenance is a common pain point amongst food and beverage manufacturers, and for manufacturers in the process industries at large.…

“Fishbone Diagram” created by Kaoru Ishikawa (Quality Manager at Kawasaki) in the 1960s.

Root Cause Analysis in the Age of Industry 4.0

What is Root Cause Analysis in manufacturing? On the production floor, Root Cause Analysis (RCA) is the process of identifying factors that cause…