Smart manufacturing technologies
| Advanced technologies for smart manufacturing | Description | Reference |
|---|---|---|
| Smart sensors and actuators | Smart sensors, actuators, and radio-frequency identification technology can be fitted into machines, products, logistics vehicles, and similar items to monitor and track resources, measure processes, and transmit relevant data | Chiarini (2021) Pacheco et al. (2023) |
| Internet of Things | The IoT utilizes an information technology infrastructure to connect physical devices, facilitating the acquisition and dissemination of data. Moreover, it enables the integration of various services and applications to display information and detect issues | Kiel et al. (2017) |
| Cyber physical systems | The IoT refers to the large network of interconnected objects, whereas CPS connect physical devices to a central processing unit with software integration. This integration enables greater adaptability and enhances the quality of physical processes | Kamble et al. (2020a) |
| Artificial intelligence | AI facilitates the exchange of crucial information, executes necessary actions, and controls machines and processes autonomously. It involves intelligent machines operating independently, responding to changing conditions, and learning from previous tasks and outcomes. AI also enables the visualization and interpretation of the relevant information and meaning of process data | Bai and Sarkis (2017) |
| Digital platforms | Digital platforms connect actors and machines in manufacturing. Data are collected and made available to every user in real-time | Frank et al. (2019) |
| Cloud computing | Cloud computing allows industrial companies to access cloud provider resources such as data storage or analysis, eliminating the need for the company to invest in its own infrastructure | Frank et al. (2019) |
| Big data analytics | Big data analytics provides data analysis tools and algorithms, enabling better decision-making for industrial production | Müller et al. (2018) |
| Industrial robotics | Industrial robotics describes using robots in manufacturing operations to increase productivity and efficiency. Robots can support humans in hazardous and unsafe tasks | Kamble et al. (2020b), Bai and Sarkis (2017) |
| Extended reality | Augmented reality is a technology that superimposes digital content onto the real environment. Virtual reality is comparable to augmented reality, but instead of being overlaid, it shows a completely virtual process replicating a real one | Masood and Egger (2020), Souza Cardoso et al. (2020) |
| Digital twin technology | The digital twin is a virtual representation of systems or objects, allowing for simulations to be conducted and enabling intelligent decision-making, mapping the entire production process in the industrial metaverse is gaining attention | Hussain et al. (2024), Luo et al. (2023) |
| Additive manufacturing | Additive manufacturing, or 3D printing, is a technology directly related to production. It allows for the transformation of digital files into three-dimensional objects, such as spare parts, layer by layer | Hussain et al. (2024), Frank et al. (2019) |
| Advanced technologies for smart manufacturing | Description | Reference |
|---|---|---|
| Smart sensors and actuators | Smart sensors, actuators, and radio-frequency identification technology can be fitted into machines, products, logistics vehicles, and similar items to monitor and track resources, measure processes, and transmit relevant data | |
| Internet of Things | The IoT utilizes an information technology infrastructure to connect physical devices, facilitating the acquisition and dissemination of data. Moreover, it enables the integration of various services and applications to display information and detect issues | |
| Cyber physical systems | The IoT refers to the large network of interconnected objects, whereas CPS connect physical devices to a central processing unit with software integration. This integration enables greater adaptability and enhances the quality of physical processes | |
| Artificial intelligence | AI facilitates the exchange of crucial information, executes necessary actions, and controls machines and processes autonomously. It involves intelligent machines operating independently, responding to changing conditions, and learning from previous tasks and outcomes. AI also enables the visualization and interpretation of the relevant information and meaning of process data | |
| Digital platforms | Digital platforms connect actors and machines in manufacturing. Data are collected and made available to every user in real-time | |
| Cloud computing | Cloud computing allows industrial companies to access cloud provider resources such as data storage or analysis, eliminating the need for the company to invest in its own infrastructure | |
| Big data analytics | Big data analytics provides data analysis tools and algorithms, enabling better decision-making for industrial production | |
| Industrial robotics | Industrial robotics describes using robots in manufacturing operations to increase productivity and efficiency. Robots can support humans in hazardous and unsafe tasks | |
| Extended reality | Augmented reality is a technology that superimposes digital content onto the real environment. Virtual reality is comparable to augmented reality, but instead of being overlaid, it shows a completely virtual process replicating a real one | |
| Digital twin technology | The digital twin is a virtual representation of systems or objects, allowing for simulations to be conducted and enabling intelligent decision-making, mapping the entire production process in the industrial metaverse is gaining attention | |
| Additive manufacturing | Additive manufacturing, or 3D printing, is a technology directly related to production. It allows for the transformation of digital files into three-dimensional objects, such as spare parts, layer by layer |
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