Industry 4.0 & Data Analytics Flashcards
6 cards from real DMD practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Industry 4.0 & Data Analytics flashcards as text
What is 'big data' in digital manufacturing, and why is it important?
Answer: Large volumes of structured and unstructured data generated by machines and processes that can be analyzed for insights
Big data in manufacturing encompasses the massive streams of machine, sensor, and operational data that, when analyzed, reveal patterns to optimize quality and efficiency.
What is a Manufacturing Execution System (MES) and what does it do?
Answer: Software that tracks and controls work-in-process on the factory floor in real time
MES provides real-time visibility and control of production operations on the factory floor, bridging the gap between ERP planning and machine-level control.
Which machine learning technique is most commonly applied to detect anomalies in manufacturing sensor data?
Answer: Unsupervised learning (clustering/anomaly detection)
Unsupervised anomaly detection algorithms identify unusual patterns in sensor data without needing labeled failure examples, making them ideal for manufacturing.
What is 'prescriptive analytics' in manufacturing?
Answer: Analytics that recommends specific actions to optimize an outcome based on data and models
Prescriptive analytics goes beyond prediction to recommend the best course of action, such as adjusting machine parameters to maximize yield.
What is 'data historian' software in industrial environments?
Answer: A specialized database that time-stamps and stores high-frequency process data from sensors and controllers
Data historians (e.g., OSIsoft PI) capture and store time-series process data at high frequency, enabling historical trend analysis and process optimization.
What does 'cyber-physical system' (CPS) mean in the context of digital manufacturing?
Answer: An integration of computation, networking, and physical processes where computers and software control physical equipment
A CPS tightly integrates computing and communication with physical processes, enabling smart machines that sense, compute, communicate, and act autonomously.