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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!
Simulations in Manufacturing Ecosystems
This learning nugget explores the differences and applications of Digital Twins and Virtual Twins in various industries. It highlights how these technologies can optimize production processes and enhance operational efficiency. The student will gain insights into the distinct experiences associated with Digital Twin and Virtual Twin applications and the costs involved in implementing Virtual Twin applications.
Roadmap for a Transition to Circular Business Models
circular business model transition roadmap
Post Processing for Metal Parts in Additive Manufacturing (AM)
This nugget will guide you through an overview of the main post-processes in metal 3D printed parts, then explaining post-processing methods applied and the way to avoid post-processing.
Identificação das Oportunidades da Economia Circular
O conceito de economia circular, que enfatiza a utilização contínua de recursos através da reciclagem, reutilização e redução de resíduos, apresenta inúmeras oportunidades para empresas, empresários e indivíduos. Não só incentiva modelos de negócio inovadores e práticas sustentáveis, como também promove o crescimento económico e a gestão ambiental, minimizando o esgotamento dos recursos e maximizando a eficiência.
Data Gathering (Communication protocols & IoT platform)
In this learning nugget, we dive into how stuff talks to each other in manufacturing. First, we explore communication protocols like TCP/IP, Modbus, OPC UA, and MQTT – these are like the secret codes machines use to share info smoothly. We break down each code's strengths and where they're handy in real-life. Then, we switch gears to check out IoT platforms – the cool tech that helps gather and understand data in manufacturing.
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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.