Glossary
This glossary will help you fully understand the ins and outs of the industry.
AIoT
The AIoT (Artificial Intelligence of Things) refers to applying AI to IoT-based technologies. In the industrial manufacturing context AI (Artificial Intelligence) has not a lot of use without the IoT (Internet of Things). This is a trend that is already happening...
Artificial Intelligence (AI)
Artificial Intelligence (AI) is intelligence demonstrated by machines and software. In manufacturing, AI is a technology that enables machines to ‘see’ and analyze the production environment and make on-the-fly decisions based on what’s actually happening on the production floor. AI is revolutionizing manufacturing by...
Cloud computing
Cloud computing is the delivery of computing services, such as servers, storage, databases, networking, software and analytics - over the Internet (“the cloud”) to offer flexible resources and faster innovation. It allows the enormous scalable computing resources as a service over the internet...
Digital Thread
The digital thread refers to the communication framework that allows a connected data flow and integrated view of the asset’s data throughout its lifecycle, from raw material to end product. The digital thread concept enables…
Digital Twin
A Digital Twin is a virtual representation, a digitalized version of a physical asset or process. This virtual representation is more than just a model of the physical asset. Thanks to IoT sensors, the twin can receive continuous...
Edge Computing
The edge computing framework is quickly finding its way into manufacturing, where these new technologies can potentially lead to massive productivity gains. Edge computing allows smart manufacturers looking to enhance the responsiveness of their manufacturing systems further. The key advantage of gathering analytics...
Industrial Internet of Things (IIoT)
The IIoT (Industrial Internet of Things) refers to any type of shop floor equipment that is connected to the internet as well as sensor technologies that collect and share vast amounts of data in real time by network connection…
Industry 4.0
Referred to as the 4th industrial revolution, Industry 4.0 represents the shift of manufacturers to automation and advanced technologies such as AI, cloud computing, machine learning, big data etc. Industry 4.0 solutions focus on…
ISO 27001
ISO 27001 is the international standard that outlines all requirements for the establishment and maintenance of a robust information security management system (ISMS). Its best-practice approach helps organizations manage their information security by addressing people and processes as well as technology. ISO 27001 provides a model for…
Lean manufacturing
Lean Manufacturing methodology originated in Japan and was derived from Toyota’s 1930 operating model. It refers to a collection of processes and tools involved in production working together to minimize waste and increase production efficiency. The Lean manufacturing approach is about the elimination of waste or activities...
OEE
Overall Equipment Effectiveness, or OEE is one of the common several important metrics manufacturing managers use to improve their facilities’ effectiveness and productivity, in attempt to produce more using their existing resources. OEE is intended to be a yardstick for measuring improvement. The measure includes machines, workforce, tools and...
Predictive maintenance
Predictive maintenance (PdM) allows manufacturers to monitor their machines and tools’ performance and plan repairs and maintenance ahead of time, with minimal production interruption. Predictive maintenance is based on the machines and tools’ ability to collect data, which is fed back to a control center, where engineers or planning systems...
Smart manufacturing
Smart manufacturing is the way machines, computers, employees, materials, and software interact during production processes, relying on Industry 4.0 and IIoT-based technologies. By connecting the physical and digital environments…
