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.
Key topics and areas of research
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.
Continuing education (in german)
- 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
Events (in german)
2023 – Perspektiven mit Industrie 4.0
Digitale Ökosysteme
2022 – Perspektiven mit Industrie 4.0
Synergien und Chancen für die Kreislaufwirtschaft
2021 - Perspektiven mit Industrie 4.0
Digitale Zwillinge im praktischen Einsatz
2019 - Perspektiven mit Industrie 4.0
Produktionsprozesse in der digitalen Welt
2018 - Perspektiven mit Industrie 4.0
von smarten Produkten zu neuen Service-Modellen
Industrie 4.0 Blog
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BLOG
Reverse-Engineering – Aufwändiger als gedacht
[Autor: Daniel Schmid] 3D-Scanning stand am Anfang, um die Grundlage für eine universelle Stattelstützenklemme zu schaffen. Dabei arbeiteten drei Partner zusammen, so dass 26 Punktewolken von ...
Daniel Schmid
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BLOG
Human-zentrierte und resilienzfördernde Digitalisierung
Blogautoren: Daniel Schmid (IPP) und Thomas Herrmann (IDP) Digitalisierung ist ein sehr vielschichtiger Begriff und geht weit über die Umwandlung analoger Formate und Nutzung digitaler Technologien ...
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BLOG
ZHELIO – User Assistance System for Smart Commercial Buildings
Blogautoren: Daniel Schmid (IPP) und Andreas Rüst (InES) Wie wird ein kommerziell genutztes Gebäude mit heterogen verknüpften Subsystemen zentral zugänglich gemacht und mit neuen, zukunftsweisenden ...
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Presentations, speeches and publications
- 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)
Industry 4.0 showroom
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.
Research projects
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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 ...
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Designing Business Models for the IoT
This project aims at developing a business model simulation software for evaluating IoT business models. The holistic approach leverages advanced simulation methods and will create new revenue opportunities for Swiss manufacturing companies.
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Predicitve Waste Management for SBB Train Stations
We develop a system to optimize the waste collection and disposal on SBB's train stations. The new system will use a container fill level sensor network, a novel waste accumulation forecasting algorithm, and state of the art methods for simulation-based tour-planning.
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Generic Simulation and Scheduling Tool for Powder Spray Coating Facilities
Powder spray coating facilities belong to the largest energy consumers in Swiss industry. The plant configuration and the production sequence must be optimized for economical and ecological operation. As yet there is no satisfactory tool for this. Our goal is to solve this optimization problem by combining methods ...
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Scheduling & Simulation USM
Project PRIME. Precisely calibrating output to match market demand
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