Research – Page 24 – Product Development Research Lab

Marco to head global special interest group in Product-Service Systems research!

12th March 2020
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The Design Society is an interdisciplinary community of academics and industry practitioners with the goal of developing and promoting a robust, usable and scalable means of designing complex solutions that […]

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Produktutvecklingsforskningen med på IVA’s 100-lista 2020!

3rd March 2020
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Professor Tobias Larsson och teamet kring forskningsprofilen Model Driven Development and Decision Support är med på Kungl Ingenjörsvetenskapsakademien, IVA’s 100-lista för 2020! Forskningsprojekten på listan bedöms ha potential att utvecklas […]

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Industry 4.0 Cyber Physical Factory!

2nd March 2020
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Together with Festo we are now installing an industry 4.0 facility to support our educational and research environments at PDRL and BTH.

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PSS Design for the World’s Large Market

1st March 2020
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Businesses are recognising and pursuing the opportunity to design appropriate products and services to serve the market known as the Base of the Pyramid (BOP) market — broadly defined as […]

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Congratulations Syed Azad Chowhery, Licentiate in Mechanical Engineering!

28th February 2020
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Syed Azad Chowdhery presented his licentiate thesis entitled “A data-driven approach for Product-Service Systems design: Using data and simulation to understand the value of a new design concept” in front […]

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A data-driven design framework for early stage PSS design exploration

14th February 2020
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Abstract Ubiquitous and pervasive computing holds great potential in the domain of Product-Service Systems to introduce a model-driven paradigm for decision support. Data-driven design is often discussed as a critical […]

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Robust Optimization Scheme for Inverse Method for Crystal Plasticity Model Parametrization

6th February 2020
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Abstract A bottom-up material modeling based on a nonlocal crystal plasticity model requires information of a large set of physical and phenomenological parameters. Because of the many material parameters, it […]

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Measuring Experiential Learning: An Approach Based on Lessons Learned Mapping

20th January 2020
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Abstract: Fostering ‘experiential learning’ in real-life situations is a critical task for engineering educators when creating constructively aligned learning activities. The paper proposes an approach to measure the students’ perception […]

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Integration of value and sustainability assessment in design space exploration by machine learning: an aerospace application

20th January 2020
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Abstract: The use of decision-making models in the early stages of the development of complex products and technologies is a well-established practice in industry. Engineers rely on well-established statistical and […]

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A hybrid data- and model-based approach to process monitoring and control in sheet metal forming

12th January 2020
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Abstract The ability to predict and control the outcome of the sheet metal forming process demands holistic knowledge of the product/process parameter influences and their contribution in shaping the output […]

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