DMD Industry 4.0 & Data Analytics 2

Question 1

What is 'big data' in digital manufacturing, and why is it important?

Accepted Answer

Large volumes of structured and unstructured data generated by machines and processes that can be analyzed for insights

Answer

Big data in manufacturing encompasses the massive streams of machine, sensor, and operational data that, when analyzed, reveal patterns to optimize quality and efficiency.

Question 2

What is a Manufacturing Execution System (MES) and what does it do?

Accepted Answer

Software that tracks and controls work-in-process on the factory floor in real time

Answer

MES provides real-time visibility and control of production operations on the factory floor, bridging the gap between ERP planning and machine-level control.

Question 3

Which machine learning technique is most commonly applied to detect anomalies in manufacturing sensor data?

Accepted Answer

Unsupervised learning (clustering/anomaly detection)

Answer

Unsupervised anomaly detection algorithms identify unusual patterns in sensor data without needing labeled failure examples, making them ideal for manufacturing.

Question 4

What is 'prescriptive analytics' in manufacturing?

Accepted Answer

Analytics that recommends specific actions to optimize an outcome based on data and models

Answer

Prescriptive analytics goes beyond prediction to recommend the best course of action, such as adjusting machine parameters to maximize yield.

Question 5

What is 'data historian' software in industrial environments?

Accepted Answer

A specialized database that time-stamps and stores high-frequency process data from sensors and controllers

Answer

Data historians (e.g., OSIsoft PI) capture and store time-series process data at high frequency, enabling historical trend analysis and process optimization.

DMD - Digital Manufacturing and Design Technology Certification Practice Test

DMD - Digital Manufacturing and Design Technology Certification Practice Test

DMD Industry 4.0 & Data Analytics 2