| Siemens - Siemens PLM Glossary | 2022 |
Terms and definitions to help you understand the foundational elements of PLM software.
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| Siemens - Siemens PLM Glossary | 2022 |
| Design simulation helps manufacturers verify and validate the intended function and manufacturability of a product under development. |
| DFMA is an engineering methodology that focuses on simplifying the design of a product to improve ease of manufacture and efficiency of assembly. |
| A digital enterprise is a company where all business processes are driven by digital technology and big data. |
| Digital manufacturing is the use of an integrated, computer-based system comprised of simulation, 3D visualization, analytics and collaboration tools to create product and manufacturing process definitions simultaneously. |
| Digital transformation is the process of digitalizing business processes and information in the pursuit of a more agile and efficient business model. |
| A physics-based description of a system resulting from the generation, management, and application of data, models and information from authoritative sources across the system’s lifecycle. |
| Digitalization in education refers to the use of digital technology to teach students. |
| Industrial Internet of Things (IIoT), also known as Industry 4.0, is the application of an IoT framework to devices and machines within manufacturing. The IIoT is part of a larger concept known as the Internet of Things (IoT). The IoT is a network of intelligent computers, devices, and objects that collect and share huge amounts of data. The collected data is sent to a central Cloud-based service where it is aggregated with other data and then shared with end users in a helpful way. |
| The fourth industrial revolution, occurring now, is manufacturing operations digitally transformed to leverage connected data, machines, and people. A connected factory may use Additive Manufacturing (AM), cybersecurity, Artificial Intelligence (AI), Augmented Reality (AR), autonomous robots, big data analytics, cloud computing, the Internet of Things (IoT), Machine Learning (ML), simulation, and technologies not yet invented to reduce waste in their processes. |
