The overall goal is to maintain and strengthen the competitiveness of the Swedish manufacturing industry in a global and national perspective. The project will meet the companies' specific knowledge needs and challenges for efficient and innovative production. Smart industry contains a wide range of sub-disciplines. The focus we are planning for is within sub-areas that coincide with current research, postgraduate and advanced level education at Linnaeus University and within the Smart Industry Group, which is the research group hosting the project. The goal of the project is to develop courses at advanced level based on the competence needs of business, but also to develop flexible methods for course development, implementation, admission process etc. that meet needs in industry.
The project's primary target group is professionals (companies), which includes subcontractors as well as companies that both develop and manufacture their own products, but other types of companies and organizations interested in the area are welcome to participate.
More detailed information about the thematic areas is available on the Swedish website: Projekt: Smart Industri, steg 2
Through dialogue with the initially participating organizations, six focus areas within Smart Industry have been identified where courses will be developed:
- Material and structure characterization
- Modelling and simulation
- Production and production control
- Smart maintenance
- Data management
- Sustainability and energy efficiency
In addition to these areas, we will have a special track with courses for leaders and managers that can span the thematic areas.
More detailed information about the thematic areas is available on the Swedish website.
The Industry needs for strengthening competence in focus
The range of courses is based on the companies' actual needs, therefore it is important to have great commitment from the industry partners, already during the application period we received great support from companies and clusters/networks. We need to continuously receive feedback on the need for competence and work closely with industry when the new courses are developed. The needs we see today will most likely look different in four years, and new thematic areas may be added during the journey. The courses must provide both direct and long-term benefit for industry, and the knowledge acquired must be easy to convert into tools in daily work.
Participation takes place in different ways, for example in the development of courses and course materials as well as in teaching, but also with experimental setups and not least by attending the courses.
The courses are flexible to make it easier for professionals to combine studies with their regular work. In the courses, distance lectures will be combined with physical meetings. Laboratory elements are carried out, among other places, in the EPIC laboratory, Växjö and in the IoT lab in Kalmar.
Do you want to know more about how you can get involved? Contact Diana Unander
Courses developed within the project
Here is a list of courses that have been developed within the project, it appears on each page when the course is planned to be given, if no date is so nailed down, you can register on an ongoing basis and we will contact you when there is a critical mass to complete the course. If you as an individual organization or together with others can gather 10-15 people, we can give the courses outside of planned course rounds.
Agile methods for digitalized industry Industry leaders can greatly benefit from learning about agile working methods as it can contribute to increased productivity, customer focus, flexibility,…
AI for Managers The purpose of the course “Artificial Intelligence for Managers” is to give managers and decision makers a principle understanding of AI and to increase their understanding of…
Applied Visual Analytics In a data-driven world, it is important to be able to analyze large amounts of data to identify patterns of interest and test hypotheses about them. Visual Analytics provides…
Applied robot technology Applied robotics deals with industrial robots and their use in industry. Industrial robots are simulated and programmed in the course. The course addresses the structure and…
Applied Internet of Things Maybe you want to connect monitoring to a truck, or why not build a connected pump control? Do you want to measure temperatures, pressures or vibrations? Do you want…
Applied Machine learning In the modern IT world, businesses often have access to large amounts of data collected from customer management systems, web services, customer interaction, etc. The data in…
Production system 1– Flow analysis Production systems in industry often involve high flexibility with the possibility of manufacturing a number of product variants or different products. Production…
Production theory and economics for automation decisions for managers The purpose of the course is to provide professionals with valuable knowledge considering automation decisions as it provides you…
Smart maintenance 1 – measurement technology With the ongoing digitalization of the industry towards "Industry 4.0" i.e. smart factories with more efficient production, shorter lead times, higher…
Other project members at Linnaeus University
Martin Kroon, Lars Håkansson, Diana Unander, Mauro Caporuscio, Jetro Pocorni, Jorge Zapico, Per Ranstad, Hatem Algabroun
Micropower Group, Epiroc, Strezia AB, Combitech, Scania, Solutions for tomorrow, SwePart Transmission AB, Virtual Manufacturing AB, Acoustic Agree AB, Zenta AB, Andritz AB, Volvo Construction Equipment AB, AB SKF, Additivt Teknikcenter i Hultsfred AB, Campus Ljungby, Digital Manufacturing Cluster (RISE), DigIT Hub Sweden (Mobile Heights)
The Swedish Knowledge Foundation (KK-stiftelsen)
1 Sept 2022–31 Aug 2026 (Expert Competence Stage 2)
Mechanical engineering (Department of Mechanical Engineering, Faculty of Technology) and Computer Science (Department of Computer Science and Media Technology, Faculty of Technology)
Smart Industry Group (SIG)
Linnaeus University Centre for Data Intensive Sciences and Applications (DISA)
- Diana Unander Research and Project Coordinator
- +46 470-76 78 65
- +46 73-057 70 64
- Hatem Algabroun Senior lecturer
- +46 470-76 74 76
- Jetro Kenneth Pocorni Senior lecturer
- +46 470-76 72 01
- +46 70-261 55 43
- Jorge Luis Zapico Senior lecturer
- Martin Kroon Professor
- +46 470-70 84 41
- +46 70-358 98 71
- Mauro Caporuscio Professor
- +46 470-70 85 58
- Per Ranstad Adjunct professor