- Learn about the advantages of using Digital Twins and understand data as a driver
Digital Twins contribute to a better understanding of current and future system behavior. They enable targeted optimization not limited to product or equipment design but also operation, maintenance, and asset management. This makes development more focused and efficient, potentially reducing time and costs.
- Gain a holistic view of the process steps, methods, and tools required to move from idea to implementation
The modeling depth of Digital Twins can vary greatly depending on the system, product, or process to be modeled. Some solutions can be developed in Excel, whereas others require system dynamics, discrete event simulation, or Agent-based modeling. These can be developed locally or within a cloud-based systems. Digital Twins are required to map their physical twins in 'real-time'. Ensuring the necessary data synchronization is a significant technical and organizational challenge. In this innovative further training initiative, you acquire the know-how required.
- Become a master in a discipline that is sought after
In this further education course, you learn to properly analyze use cases and design and plan Digital Twins based on problem analysis (turning technical considerations into business opportunities). In addition, you develop the language required to communicate with the various stakeholders of such a project at eye level.
- Benefit from top lecturers
Leading lecturers teach the CAS from various industries with many years of experience, and guest lecturers from Swiss companies present real-life case studies.
- Innovative training setting
To allow for continuing education compatibility with your family and career, on-site classroom lectures are economical, efficient, and combined with remotely conducted online classes. The mixed composition of participants (i.e., business managers, engineers, analysts, operations engineers, and coders) enables insights into different industries and an inspiring learning environment.
Module overview
Module 1: Understanding Digital Twins
Module 1 provides an overview of the subject matter and explores the possible uses of Digital Twins within a B2B(2C) context:
- Digital Twins concepts: what is a Digital Twin - and what is not?
- Relationships and adjacencies of Digital Twins and simulation
- Resource integration, tacit knowledge creation and value co-creation through decision making
- Opportunities/potentials: how to generate business value from data with a Digital Twin?
- Types of twins: process twins, object twins, simulation twins, digital twin, digital shadow, digital thread
- Enablers and challenges
- Clarification of the lifecycle based on concrete use cases (in SMEs and large global firms)
Module 1 can also be booked as a single specialized course. Participants will receive a course confirmation. Please get in touch at wb.informatik@hslu.ch if you are interested.
Module 2: Digital design and development
In module 2, participants acquire an understanding of the design and application of
Digital Twins within a business context, processes and models, recognize interrelationships, possibilities and limitations.
- The participants will learn how to map out the problem space and understand it from different perspectives, leading to the development of Digital Twin based applications.
- An approach to enabling new value propositions in Digital Twins with AI technologies will be developed with the class.
- The human centric design of Digital Twins for application in a Smart Factory will be described
- Data as an enabler of Digital Twins: How technical solutions emerge from a concrete use case
- The development of a Digital Twin application will be based on the requirements and the use case. The Digital Twin will support technical and business decision-makers (e.g., different perspectives) over the lifecycle and different decision-making horizons (e.g., operations, tactical and strategic).
- Basic AI examples will be elaborated to demonstrate their integration into the Digital Twin.
- A family of Digital Twins or cognitive Digital Twins will be created using ontology.
Module 3: Creating Digital Twins in different contexts
In module 3, participants will be presented with different use cases from various contexts. They will consider them from different perspectives to assess them for business value creation, prototype parts of the Digital Twin and to describe a possible development plan for the Digital Twins.
- Joint analysis of different use cases in plenary: construction, production, predictive maintenance, etc.
- Independent analysis and conception of use cases in groups to internalize approach
- Build parts of the Digital Twin
- Presentation of results, feedback and discussion
Module 4: Deep Dive & Transfer
Module 4 consists of two parts.
- In the first part, the participants delve into different topics in groups (deep dive). The findings are presented and discussed in the learning seminar.
- The transfer work forms the conclusion of the CAS. Participants apply the acquired knowledge by developing a concept for a concrete application. The topic of the transfer paper is selected from the real business environment of the course participants. If required, other topics are available.
- The concepts created during the transfer work are presented in a plenary session at the end so that the other participants can gain insight into the solution sketches created and draw renewed inspiration from them.
