The course provides insight into production challenges and innovative production solutions at a large number of manufacturing companies that serve as inspiration and live cases (e.g. SSAB, Sandvik, Gnosjö companies).
7.5 credits
The course provides insight into the area of Trend spotting including training in trend spotting related to ongoing research where industrial and societal outlooks serve as a platform for the course content.
7.5 credits
This course aims at facilitating the participant to learn the interplays between different areas relevant to Circular Economy - business model, governmental policy, product/service design, user behaviour, and supply chain management. The course will also support the participant to carry out and reflect upon his/her research with a transdisciplinary approach.
2 credits
You book the date (Oct. to Dec. 2021) for the course when you have registered to it. A communication eye opener! It is both necessary and important for researchers in academia and industry to know how to explain complicated research to non-experts.
2.0 credits
You book the date (Oct.-Dec. 2021) for the course when you have registered to it. The big difference from PM1 is that you will get help from the course leader, as a professional communications coach, with the preparations to make a good performance.
2.0 credits
This course focus on your skills of presenting research to a mixed audience...
2.0 credits
This course gives the participants an overview of and a common knowledge base in the areas of research of Produktion2030, with an emphasis on industrial product development and production. Teachers are recruited from participating academic institutions and collaborating industrial partners for each run of the course.
4 credits
The course aims to provide knowledge about modern technologies in production systems. Different technologies are introduced from the production’s perspective with real-life examples and case studies.
6 credits
The course is targeted at professionals and doctoral students who want to attain a deeper understanding of machining processes. Through better understanding of today’s forefront of machining research the participants will be better suited to both implement and contribute to the continued development of the field of machining processes.
7.5 credits
Manual work affects virtually all times used in industry, even if machines are producing the goods, people are needed to keep the machines running. The importance of these manual activities is often neglected, for example set-up time is often regarded as a constant for a specific machine regardless product type changed to or from.
3 credits
The aim of the course is to increase participants understanding of production systems and to be able to make knowledgeable decisions within the area.
7.5 credits
The course aims to provide advanced knowledge and hands-on experience in disturbances and variation analysis in manufacturing systems. The scope of the course includes advanced methods in process control, root cause analysis, modeling and impact evaluations of disturbances and variations.
9.0 credits
The course aims to give knowledge of how virtual tools can be used as a mean to successfully realize industrial human-robot collaboration. The course also aims to give the participants knowledge in how a human-robot development project can be undertaken, considering critical aspects such as efficiency, safety and ergonomics.
5.0 credits
The course aims to increase awareness regarding industrial maintenance and its importance for the digital transformation of the manufacturing industry. The course address a broad perspective of industrial maintenance, focusing on production equipment.
4 credits
The course aims to provide a basic understanding for how modelling, simulation and optimization can be employed to support the engineering product development process.
5.0 credits
The course aims to introduce principles of multidisciplinary design optimization (MDO). Theory will be presented by means of examples to demonstrate its application so that practitioners can learn how to apply them on their own problems.
3.0 credits
The course is centred around the INCOSE Systems Engineering Handbook and is run as a study circle and will give an introduction to the area of systems engineering.
3 credits
The aim of the course is to increase participants understanding of key concepts, and to develop their competence and skills in how to perform qualitative analysis. The participants will develop an ability to judge and evaluate the choice of analytical method applied to an adequate set of empirical data. Furthermore, the course aims at increasing the participants’ understanding of the premises for publishing results based on qualitative data analysis in scientific journals.
7.5 credits
The aim of the course is to guide participants through the journal publication process with their own contribution.
7.5 credits
We are happy to announce and invite you to the 8th International Summer School on Industrial Agents: Autonomous Control in logistics, production and energy applications, organized by the Helmut Schmidt University, Institute for Automation Technology in Hamburg. The summer school will take place from 11th to 15th July 2022. The International Summer School on Industrial Agents brings together leading researchers and PhD students in the field of agent technology. As a PhD student you will have the opportunity to participate in different workshops, get to know like-minded people from an international community and build valuable relationships in your research field.
6 credits
In the course, product platforms are studied from both theoretical and practical perspectives. This includes fundamental concepts together with current research and industrial practise in the area. Different support for planning, developing and analysing product platform design are introduced and practised. The impact on business processes of different platform strategies are discussed as well as their use in different sectors and applications.
7.5 credits
Societal and industrial activities call for a need to relate research and practice on Engineering Product Development to the pressing issues of sustainable development. In this course, we will address how various sustainability aspects relate to Engineering Product Development and focus on why, how and when sustainability needs to be integrated and implemented in the product development activities.
5.0 credits
This course puts the concept of optimal design on a rigorous foundation and demonstrates the intimate relationship between the mathematical model that describes a design and the solution methods that optimize it.
4 credits
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