Industry 4.0 Glossary

What is Industry 4.0?

Industry 4.0, also known as the Fourth Industrial Revolution, refers to the digital transformation of manufacturing and industrial operations through the use of connected technologies, automation, and data‑driven intelligence.

At its core, Industry 4.0 combines advanced sensors, software, connectivity, and analytics to enable real‑time visibility, improved decision‑making, and continuous optimisation across production processes. Machine‑to‑machine (M2M) communication and real‑time data exchange allow manufacturing systems to respond dynamically to changing conditions, improving efficiency, quality, and sustainability.

Industry 4.0 is often referred to as smart manufacturing.

What is IIoT (Industrial Internet of Things)?

The Industrial Internet of Things (IIoT) refers to the network of connected sensors, interfaces, edge devices, and systems that enable the collection, exchange, and analysis of industrial production data.

In manufacturing environments, IIoT allows machines, processes, and production lines to share data in real time. This data can then be analysed to improve process stability, reduce scrap, optimise machine performance, and support predictive maintenance strategies. IIoT forms the technological foundation of Industry 4.0.

What is an Edge Device?

An edge device is a hardware component that manages data flow between machines, on‑premise systems, and cloud platforms.

In IIoT environments, edge devices (often called gateways) are responsible for tasks such as data processing, caching, routing, encryption, and secure data transmission. Processing data at the edge reduces latency, improves reliability, and ensures that only relevant and secure data is sent to the cloud.

What is Artificial intelligence (AI) in Manufacturing?

Artificial intelligence (AI) refers to algorithms and systems that can learn from data and identify patterns, trends, and relationships without being explicitly programmed.

In manufacturing, AI can be used to identify the root causes of quality issues, determine optimal operating parameters, predict equipment failures, and support data‑driven decision‑making. AI builds on historical and real‑time production data to continuously improve outcomes. Learn more.

What is Machine Learning?

Machine learning is a subfield of artificial intelligence that enables systems to automatically learn from data and improve their performance over time.

Rather than following fixed rules, machine learning models adapt as new data becomes available. In industrial applications, machine learning is commonly used for pattern recognition, anomaly detection, and predictive analytics across production processes.

What is Deep Learning?

Deep learning is a specialized subset of machine learning that uses artificial neural networks to model complex relationships within large data sets.

These multi‑layered neural networks enable deep learning systems to achieve higher accuracy in complex industrial applications, such as image‑based quality inspection, advanced anomaly detection, and highly nonlinear process optimisation.

What is an Expert Execution System (EES)?

An Expert Execution System (EES) is an AI‑enabled system that continuously monitors data across production processes and prescribes optimal machine and process setpoints.

By analysing real‑time and historical data, an EES supports holistic optimisation of plant performance, helping manufacturers improve overall efficiency, stability, and process consistency.

What are Cloud systems?

Cloud systems provide on‑demand computing power and data storage without the need for extensive on‑premise infrastructure.

In Industry 4.0 environments, cloud platforms enable scalable data storage, high‑speed analytics, secure data sharing, and global connectivity. Cloud systems are well suited for handling large industrial data volumes and supporting advanced analytics and AI applications. Learn more.

What is AWS (Amazon Web Services)?

Amazon Web Services (AWS) is a secure public cloud platform that provides computing power, data storage, analytics, and application services.

AWS enables organisations to scale digital solutions globally while meeting high standards for security, reliability, and performance.

What is Alibaba Cloud?

Alibaba Cloud is a secure cloud services platform offering computing, data storage, analytics, and security solutions.

It is particularly suited for operations in China, as it hosts data on local servers and operates within the regulatory framework of the country, including compliance with the “Great Firewall”.

What is Monitizer?

Monitizer is an industrial IIoT platform that securely collects, transmits, and analyses production data to support data‑driven manufacturing optimisation.

Data is collected using dedicated hardware, encrypted, and transmitted via secure connections to the Monitizer platform. The platform is hosted in the public cloud using AWS globally, and Alibaba Cloud within China. Learn more.

What is a VPN (Virtual Private Network)?

A virtual private network (VPN) is a secure network connection that encrypts data and enables safe remote access to systems and networks.

VPNs are commonly used in industrial environments to protect sensitive production data when connecting sites, users, or systems remotely.

What is Encryption?

Encryption is the process of converting information into an unreadable format to prevent unauthorised access.

Only authorised users or systems with the correct decryption keys can convert encrypted data back into a readable form. Encryption is a fundamental requirement for secure industrial data transmission and storage.

What is Smart Manufacturing?

Smart manufacturing refers to the use of digital technologies, connectivity, and advanced analytics to optimise manufacturing operations through greater visibility, automation, and data‑driven decision‑making.

In the foundry industry, this approach is often described as a smart foundry - where machines, processes, and production systems are connected to continuously collect and analyse data. This enables foundries to improve process stability, reduce scrap, optimise energy and material usage, and respond more quickly to issues across the production chain.

Smart manufacturing is closely aligned with Industry 4.0 principles and focuses on turning production data into actionable insight that supports continuous improvement and long‑term operational performance.

What is Smart Foundry?

A smart foundry applies smart manufacturing and Industry 4.0 principles specifically to foundry operations, using connected technologies, production data, and advanced analytics to improve visibility, stability, and overall performance.

In a smart foundry, machines and production processes - from melting and moulding to pouring and finishing- are digitally connected. Data is continuously analysed to reduce scrap, optimise energy and material usage, and support faster, data‑driven decisions across the foundry.