Platform Industry 4.0
Creating intelligent links between manufacturing facilities, products and people allows new processes, business models and services to be developed. This ZHAW platform provides comprehensive support to companies transforming their businesses to the Industry 4.0 model.
Industry 4.0 is disrupting existing value chains and transforming entire industries. Successful implementation of new business models requires expertise from a number of different disciplines.
For that reason, the ZHAW School of Engineering has channelled its Industry 4.0 expertise into one platform, combining know-how from a range of disciplines to create one overarching application.
The Industrie 4.0 platform combines the broad expertise of over ten institutes from various departments at ZHAW, such as the School of Engineering, the School of Management and Law, and the Department of Life Sciences and Facility Management.
The topic of the fourth industrial revolution permeates all parts of the economy and is therefore interdisciplinary. In research and teaching, ZHAW focuses on the economic needs and challenges of Industrie 4.0, for example in the areas of services and business model transformation. Based on this, the corresponding product and process development takes place, combining the mechanical-physical manifestation of products with the current state and potential of electronic systems (embedded systems) and software.
For the Internet of Things (IoT), ZHAW has expertise in wireless information transmission, such as low-power sensors and wireless communication, as well as in solving complex tasks in the field of automation. With research and teaching in the field of cloud computing, ZHAW contributes to not only mastering but also analyzing the large amounts of data generated. This, in turn, provides the ideal starting point for offering research and services in data analytics and risk management, whether for decision-making in business processes or creating additional customer benefits through data-driven services.
ZHAW combines all these elements with a holistic approach to process design and simulation to achieve data consistency in today's business environment and to cover the entire chain from suppliers to customers (supply chain management), including consideration of global industrial solutions. The interdisciplinary Industrie 4.0 platform at ZHAW offers a comprehensive point of contact for SMEs and large companies with questions about Industrie 4.0 and IoT, with its wealth of research focuses.
- MAS Industrie 4.0
- CAS Industrie 4.0 – von der Idee zur Umsetzung
- CAS Additive Fertigung
- CAS Lean Management für technische Fach- und Führungskräfte
- CAS Logistikmanagement
- CAS Predictive Maintenance
- CAS Smart Service Engineering (Data Product Design)
- CAS Product Innovation and Leadership for Engineers
- CAS Angewandte IT-Sicherheit
Rückblick auf IWDSP 2023 an der ZHAW
Blogautor: Helmut Sedding IDP Die Tagung The 4th International Workshop on Dynamic Scheduling Problems IWDSP 2023 war ein voller Erfolg. Wissenschaftler aus der ganzen Welt kamen an der ZHAW ...
Höhere Verfügbarkeit, weniger Personalauslastung und besser für die Umwelt?
Die Simulation einer Servicedienstleistung und was passiert, wenn diese digitalisiert wird. Blogautor: Rodolfo Benedech (IDP), Oktober 2023 Einführung Sowohl produzierende Unternehmen als ...
Cyber-Security für IoT-Geräte
Blog-Autoren: Simon Künzli und David Lorenz (beide InES) Ein Problem, das sich für IoT-Systeme stellt, ist jenes, dass ein Betreiber einer IoT-Plattform sicherstellen möchte, dass Daten von ...
- Virtuelle Fabrik, TechTalk 2016: Referat 1, Christoph Heitz (in German)
- From Sensor to Business Case: Prof. Andreas Rüst
- c2-Magazin, 2016, Extrusionswalze mit wireless IoT-Sensor : Prof. Roland Küng (in German)(PDF 1,2 MB)
- Video: Praxisbericht Industrie 4.0 (in German)
- Video: Industrie 4.0 in Produktion (in German)
- Video: Instandhaltung und Predictive Maintenance (in German)
- Video: Wireless Sensor Netzwerke für den industriellen Einsatz (in German)
- Video: Neue Geschäftsmodelle (in German)
Our showroom provides an insight into our current Industry 4.0 research initiatives. A series of demonstrations showcases the ZHAW School of Engineering’s expertise in this field and the services it can offer. Interested? Then simply contact us to arrange a visit.
Master3D – 3D-Master for a Digitized Manufacturing Platform
We enhance Bossard's Real Time Manufacturing Services by automatically creating quotes for special parts. The core is an AI-created 3D Master that unifies all available part information, enabling pricing and feasibility evaluation for many manufacturing technologies incl. additive manufacturing. ...
DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning
We develop a distributed machine learning system to sort out defect plastic parts during production. Main challenge is the transferability of learnt process know-how from case to case; the solution builds on domain adaptation, continual data-centric deep learning and federated edge computing. ...
End-to-End Data Driven Design of After-Sales-Services for Digital Cutters
Simulation-based comparison of an end-to-end and a platform configuration for injection molding line
The project partner received two layout proposals for a new production line and wanted to compare them in terms of their suitability and performance. In the injection molding process, failure of individual injection molding cavities can occur, which leads to systematic or random missing parts. The system's modules ...
User Assistance Systems for Smart Commercial Buildings
ZHELIO: A User Assistance System (workbench platform) for building operators combining automation, information technology, IoT sensors, optimisation and digital modelling of assets. The envisioned system empowers users to use, interact and optimise living buildings and promote digital transformation ...
The costs of manufacturing in Europe are onerous, particularly for SMEs. Industry 4.0 applications have the potential to enable resources to be used more efficiently. Against this backdrop, the ZHAW School of Engineering worked as part of a European research consortium on the development of an intelligent production system. Read more