ADTs within the manufacturing industry
| Technology | Description | Industrial applications | Customers’ firms |
|---|---|---|---|
| Artificial intelligence (AI) | The development of computer systems that can perform tasks that normally require human intelligence, such as learning, problem-solving and decision-making | Predictive maintenance, quality control, production planning and scheduling, equipment optimization, supply chain optimization and customer service | Firm A: pharmaceutical industry |
| Machine learning (ML) | A subset of AI that involves training algorithms on data to enable them to make predictions or take actions without being explicitly programed | Predictive analytics, pattern recognition, data mining, image and speech recognition | Firm A: pharmaceutical industry |
| Internet of things (IoT) | A network of physical devices, machines, buildings and other items that are equipped with sensors and connected to the Internet, allowing them to collect and exchange data | Industrial automation, asset tracking and energy management | Firm A: pharmaceutical industry |
| Virtual reality (VR) | A computer-generated simulation of a three-dimensional environment that can be interacted with in a seemingly real or physical way | Training, visualization and design of products and equipment | Firm B: food and beverage industry |
| Product Digital Twins (DT) | A digital replica of a physical product that can be used to analyze, simulate and optimize the product’s design, performance and lifecycle | Product design, testing and certification, process optimization customer engagement and servicing | Firm C: automotive industry |
| Augmented Reality (AR) | A technology that superimposes digital information and images on the real world, using devices such as smartphones or glasses | Assembly, maintenance, quality control, training and safety | Firm C: food and beverage industry |
| Technology | Description | Industrial applications | Customers’ firms |
|---|---|---|---|
| Artificial intelligence (AI) | The development of computer systems that can perform tasks that normally require human intelligence, such as learning, problem-solving and decision-making | Predictive maintenance, quality control, production planning and scheduling, equipment optimization, supply chain optimization and customer service | |
| Machine learning (ML) | A subset of AI that involves training algorithms on data to enable them to make predictions or take actions without being explicitly programed | Predictive analytics, pattern recognition, data mining, image and speech recognition | |
| Internet of things (IoT) | A network of physical devices, machines, buildings and other items that are equipped with sensors and connected to the Internet, allowing them to collect and exchange data | Industrial automation, asset tracking and energy management | |
| Virtual reality (VR) | A computer-generated simulation of a three-dimensional environment that can be interacted with in a seemingly real or physical way | Training, visualization and design of products and equipment | |
| Product Digital Twins (DT) | A digital replica of a physical product that can be used to analyze, simulate and optimize the product’s design, performance and lifecycle | Product design, testing and certification, process optimization customer engagement and servicing | |
| Augmented Reality (AR) | A technology that superimposes digital information and images on the real world, using devices such as smartphones or glasses | Assembly, maintenance, quality control, training and safety |
Source(s): Authors’ own work
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.