This paper describes a model for education in innovative engineering. The kernel of this model is, that students from different departments of the faculty of Applied Science and Technology are placed in industry for a period of eighteen months after two-and-a-half year of theoretical studies. During this period students work in multi-disciplinary projects on different themes. Students will grow to fully equal employees in industry. Therefore it is important that besides students, teachers and company employees will participate in the projects. Also the involvement of other level students (University and high school) is recommended. The most important characteristics of the model can be summarized in innovative, interdisciplinary and international orientation.
The Department of Electrical and Electronic Engineering at the Fontys University of Professional Education in Eindhoven, The Netherlands, offers a course which is being developed around the principles of Concurrent Engineering. From research we found that in general students are not completely aware of aspects of cost-effectiveness but they are fully oriented towards technical problem solving. In order to improve on this aspects, we introduced the framework of "design to cost": learn to choose the right tools, concepts and technologies in a way that successful products can be designed and developed. This second edition of the course, based on 'design to cost', showed to be very successful and was strengthening our self-confidence. So in the third edition we started to work together with the regional industry. The companies paid for the development and, this money is used for intensive group coaching by tutors and specialists. It turned out that the contacts with the industry proved to be a very stimulating factor for the students. Working together with industry raises the quality of the education and it proved to be an excellent preparation for the final thesis period of the students.
Author supplied from the article: ABSTRACT Increasing global competition in manufacturing technology puts pressure on lead times for product design and production engineering. By the application of effective methods for systems engineering (engineering design), the development risks can be addressed in a structured manner to minimise chances of delay and guarantee timely market introduction. Concurrent design has proven to be effective in markets for high tech systems; the product and its manufacturing means are simultaneously developed starting at the product definition. Unfortunately, not many systems engineering methodologies do support development well in the early stage of the project where proof of concept is still under investigation. The number of practically applicable tools in this stage is even worse. Industry could use a systems engineering method that combines a structured risk approach, concurrent development, and especially enables application in the early stage of product and equipment design. The belief is that Axiomatic Design can provide with a solid foundation for this need. This paper proposes a ‘Constituent Roadmap of Product Design’, based on the axiomatic design methodology. It offers easy access to a broad range of users, experienced and inexperienced. First, it has the ability to evaluate if knowledge application to a design is relevant and complete. Secondly, it offers more detail within the satisfaction interval of the independence axiom. The constituent roadmap is based on recent work that discloses an analysis on information in axiomatic design. The analysis enables better differentiation on project progression in the conceptual stage of design. The constituent roadmap integrates axiomatic design and the methods that harmonise with it. Hence, it does not jeopardise the effectiveness of the methodology. An important feature is the check matrix, a low threshold interface that unlocks the methodology to a larger audience. (Source - PDF presented at ASME IMECE (International Mechanical Engineering Congress and Exposition
The IMPULS-2020 project DIGIREAL (BUas, 2021) aims to significantly strengthen BUAS’ Research and Development (R&D) on Digital Realities for the benefit of innovation in our sectoral industries. The project will furthermore help BUas to position itself in the emerging innovation ecosystems on Human Interaction, AI and Interactive Technologies. The pandemic has had a tremendous negative impact on BUas industrial sectors of research: Tourism, Leisure and Events, Hospitality and Facility, Built Environment and Logistics. Our partner industries are in great need of innovative responses to the crises. Data, AI combined with Interactive and Immersive Technologies (Games, VR/AR) can provide a partial solution, in line with the key-enabling technologies of the Smart Industry agenda. DIGIREAL builds upon our well-established expertise and capacity in entertainment and serious games and digital media (VR/AR). It furthermore strengthens our initial plans to venture into Data and Applied AI. Digital Realities offer great opportunities for sectoral industry research and innovation, such as experience measurement in Leisure and Hospitality, data-driven decision-making for (sustainable) tourism, geo-data simulations for Logistics and Digital Twins for Spatial Planning. Although BUas already has successful R&D projects in these areas, the synergy can and should significantly be improved. We propose a coherent one-year Impuls funded package to develop (in 2021): 1. A multi-year R&D program on Digital Realities, that leads to, 2. Strategic R&D proposals, in particular a SPRONG/sleuteltechnologie proposal; 3. Partnerships in the regional and national innovation ecosystem, in particular Mind Labs and Data Development Lab (DDL); 4. A shared Digital Realities Lab infrastructure, in particular hardware/software/peopleware for Augmented and Mixed Reality; 5. Leadership, support and operational capacity to achieve and support the above. The proposal presents a work program and management structure, with external partners in an advisory role.
Manual labour is an important cornerstone in manufacturing and considering human factors and ergonomics is a crucial field of action from both social and economic perspective. Diverse approaches are available in research and practice, ranging from guidelines, ergonomic assessment sheets over to digitally supported workplace design or hardware oriented support technologies like exoskeletons. However, in the end those technologies, methods and tools put the working task in focus and just aim to make manufacturing “less bad” with reducing ergonomic loads as much as possible. The proposed project “Human Centered Smart Factories: design for wellbeing for future manufacturing” wants to overcome this conventional paradigm and considers a more proactive and future oriented perspective. The underlying vision of the project is a workplace design for wellbeing that makes labor intensive manufacturing not just less bad but aims to provide positive contributions to physiological and mental health of workers. This shall be achieved through a human centered technology approach and utilizing advanced opportunities of smart industry technologies and methods within a cyber physical system setup. Finally, the goal is to develop smart, shape-changing workstations that self-adapt to the unique and personal, physical and cognitive needs of a worker. The workstations are responsive, they interact in real time, and promote dynamic activities and varying physical exertion through understanding the context of work. Consequently, the project follows a clear interdisciplinary approach and brings together disciplines like production engineering, human interaction design, creative design techniques and social impact assessment. Developments take place in an industrial scale test bed at the University of Twente but also within an industrial manufacturing factory. Through the human centered design of adaptive workplaces, the project contributes to a more inclusive and healthier society. This has also positive effects from both national (e.g. relieve of health system) as well as individual company perspective (e.g. less costs due to worker illness, higher motivation and productivity). Even more, the proposal offers new business opportunities through selling products and/or services related to the developed approach. To tap those potentials, an appropriate utilization of the results is a key concern . The involved manufacturing company van Raam will be the prototypical implementation partner and serve as critical proof of concept partner. Given their openness, connections and broad range of processes they are also an ideal role model for further manufacturing companies. ErgoS and Ergo Design are involved as methodological/technological partners that deal with industrial engineering and ergonomic design of workplace on a daily base. Thus, they are crucial to critically reflect wider applicability and innovativeness of the developed solutions. Both companies also serve as multiplicator while utilizing promising technologies and methods in their work. Universities and universities of applied sciences utilize results through scientific publications and as base for further research. They also ensure the transfer to education as an important leverage to inspire and train future engineers towards wellbeing design of workplaces.
Human kind has a major impact on the state of life on Earth, mainly caused by habitat destruction, fragmentation and pollution related to agricultural land use and industrialization. Biodiversity is dominated by insects (~50%). Insects are vital for ecosystems through ecosystem engineering and controlling properties, such as soil formation and nutrient cycling, pollination, and in food webs as prey or controlling predator or parasite. Reducing insect diversity reduces resilience of ecosystems and increases risks of non-performance in soil fertility, pollination and pest suppression. Insects are under threat. Worldwide 41 % of insect species are in decline, 33% species threatened with extinction, and a co-occurring insect biomass loss of 2.5% per year. In Germany, insect biomass in natural areas surrounded by agriculture was reduced by 76% in 27 years. Nature inclusive agriculture and agri-environmental schemes aim to mitigate these kinds of effects. Protection measures need success indicators. Insects are excellent for biodiversity assessments, even with small landscape adaptations. Measuring insect biodiversity however is not easy. We aim to use new automated recognition techniques by machine learning with neural networks, to produce algorithms for fast and insightful insect diversity indexes. Biodiversity can be measured by indicative species (groups). We use three groups: 1) Carabid beetles (are top predators); 2) Moths (relation with host plants); 3) Flying insects (multiple functions in ecosystems, e.g. parasitism). The project wants to design user-friendly farmer/citizen science biodiversity measurements with machine learning, and use these in comparative research in 3 real life cases as proof of concept: 1) effects of agriculture on insects in hedgerows, 2) effects of different commercial crop production systems on insects, 3) effects of flower richness in crops and grassland on insects, all measured with natural reference situations
