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Explore EIT Manufacturing Academy’s extensive training catalogue, offering a diverse range of learning activities including digital modules, live sessions, blended training, and hands-on practice. Whether you prefer flexible online learning or interactive in-person experiences, browse our comprehensive list where featured selections are highlighted for your convenience. Discover your path to success with us today!
Challenges for the organisation to implement Digital Process Twin
This learning nugget explores the challenges faced by organizations when implementing Digital Process Twins (DPTs). The nugget provides insights into the critical decisions around technology adoption and the implications it has on the success of DPTs.
The Implementation Process of Traceability
The implementation process of traceability involves a systematic approach to establish a robust system for tracking and tracing products or materials throughout the production and supply chain. This process consists of several key steps. It's essential to adapt the implementation process to the specific industry, products, and regulatory requirements. Consulting relevant literature, industry best practices, and engaging with experts will support a successful traceability implementation.
Data-based Process Transparency through Traceability and Process Mining
This Nugget introduces the concept of a data value chain (DVC), which is a promising concept for companies to adopt a data perspective and integrate all data-affecting steps starting from the generation and collection of data to the possibility of decision-making based on data outputs. The DVC concept consists of six consecutive phases that integrate all data-affecting steps, including data generation, data collection, data storage, data processing, data analysis, and decision-making based on data outputs. The application of the DVC concept can help companies optimize their data usage and improve their production processes.
A 6R Approach to Sustainable Manufacturing
The 6R approach: reduce, reuse, recycle, recover, redesign and remanufacture
Industry X.0 and Smart Manufacturing
Learn how Artificial Intelligence (AI) and Machine Learning drive sustainability in manufacturing, optimizing processes for minimal environmental impact.
Circular business tools
The use of Business Model Canvas for circular projects
Practical data flow for DPT generation in a simulation software
This Learning Nugget gives the basic introduction of the concept of Simulation of a real-world production system. Then it discusses a software that can be used for modelling of the production system and mentions the important features of that software. Moving forward, an example is implemented on the software for modelling a real-world system digitally. Th results of this example are discussed and then relevance of simulation in DPT Implementation is discussed.
Bridging the Gaps in Digital Twin Understanding and Usage
This nugget highlights digital twins—computational models of physical assets—and their wide-ranging applications in sectors like manufacturing, healthcare, transportation, and construction. They enhance efficiency and decision-making in manufacturing through process optimization and scenario testing, while in healthcare, they facilitate personalized care and informed decisions, as seen in Nvidia's brain aneurysm modeling. Digital twins thus promise transformative impacts across numerous real-world contexts, fostering innovation and knowledge.