Industry 4.0 & Data Analytics Flashcards

What does 'Industry 4.0' primarily refer to in digital manufacturing?

Answer: The fourth industrial revolution integrating cyber-physical systems, IoT, cloud computing, and AI into manufacturing

Industry 4.0 describes the current transformation of manufacturing through interconnected smart machines, data analytics, and cyber-physical systems.

What is the Industrial Internet of Things (IIoT) in a manufacturing context?

Answer: The network of sensors, machines, and devices in a factory that collect and exchange data over the internet

IIoT connects manufacturing equipment, sensors, and systems to collect real-time operational data that can be analyzed to optimize performance.

Which type of analytics predicts future equipment failures before they occur by analyzing historical and real-time sensor data?

Answer: Predictive analytics

Predictive analytics uses machine learning models trained on historical failure data to forecast equipment breakdowns before they happen.

In manufacturing data analytics, what does OEE stand for and what does it measure?

Answer: Overall Equipment Effectiveness — the product of Availability, Performance, and Quality rates

OEE = Availability × Performance × Quality and is the gold-standard metric for measuring how effectively manufacturing equipment is utilized.

What is 'edge computing' in the context of smart manufacturing?

Answer: Processing data locally on or near the machine rather than sending it to a remote cloud server

Edge computing processes sensor data at or near the machine, reducing latency and bandwidth requirements compared to sending all data to a central cloud.

Which communication protocol is most commonly used for machine-to-machine data exchange in smart factories?

Answer: OPC-UA (Open Platform Communications Unified Architecture)

OPC-UA is the industry-standard protocol for secure, platform-independent machine-to-machine and machine-to-enterprise data exchange in smart manufacturing.