Industry 4.0 is a major catalyst for SMART factories, with 8 technologies driving the
digitization of manufacturing.
Industrial IOT, Digital Fabrication, Product Security, Cloud Solutions, Augmented Reality,
Robotics Automation, Intelligent Sensors, And Big Data Analytics.
Information extracted from Big Data can be used to optimize and improve manufacturing
processes.
However, Big Data renders itself useless without a platform to convert all this data into insightful
and actionable results in real time.
Intelligent Manufacturing Analytics is an advanced electronics manufacturing data analytics
software solution.
Its capabilities allow the analysis of process and test data which can be used to drive manufacturing
improvements.
Being platform agnostic, you can seamlessly connect any existing equipment or database;
with minimal changes to your current systems.
Intelligent Manufacturing Analytics is developed based on the four levels of analytics.
Level 1, Descriptive Analytics, consists of data visualizations & reporting dashboards.
Level 2, Diagnostic Analytics, is the capability to perform data-mining, data-searches and
perform multi-level drill-down analysis.
Level 3, Predictive Analytics, uses advanced algorithms to predict equipment, process or
product failures.
Level 4, Prescriptive Analytics, deals with Machine Learning where the computer is intelligent
enough to detect a problem and prescribe the right solution for it.
All this, without human intervention.
Now, let’s look at the 5 common use cases where Intelligent Manufacturing Analytics
can turn Big Data into useful insights.
First, it helps customers explore Big Data; to Find, Visualize and Understand data.
These quick, easy to understand visuals provide crucial overviews to information such as process
anomalies and asset utilization, which can be used to drive operational improvements.
Second, it offers an advanced global 360 Visual interface to help you manage assets more efficiently
and effectively.
You can review each tester performance and status in real time, no matter where it is
located globally.
Third, in the event of anomalies, its built-in automated monitoring algorithms can trigger
actionable alerts in real time via email, SMS or mobile messaging applications.
Fourth, the software’s automated outlier analysis algorithms take advanced process
controls to the next level.
By using a combination of measurement, machine health and meta data, you can effectively
detect potential process and test outliers.
Fifth, its built-in predictive algorithms can identify fixture and equipment failures
before they happen, which means you can eliminate unplanned downtime, improve asset utilization
and monitor energy consumption in your test equipment.
As more and more companies seek to adopt the right technologies and be Industry 4.0 ready,
Keysight aims to lead the digital transformation for the electronics manufacturing industry,
specifically, in the area of data analytics.
Data that elevates operational excellence to the next level
Data that reveals Overall Equipment Effectiveness and Asset Utilization
Data that triggers real-time automated process controls
Data that converts to actionable insights
Data that reveals a previously un-explored level of visibility and transparency in your
manufacturing performance…
It’s time to re-think Big Data Analytics and embark on your transformational journey.