Publications – Page 11 – Product Development Research Lab

Towards autonomous construction equipment: supporting on-site collaboration between automatons and humans

30th April 2020
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Abstract To support the application of automated machines andcollaborative robots in unstructured environments like in the mining,agriculture and construction sector the needs of the human co-workershould be investigated to ensure […]

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A framework for data-driven design in a product innovation process: data analysis and visualisation for model-based decision making

24th April 2020
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ABSTRACT: The paper presents a four-layer framework for the application of data-driven design in a product innovation process. The framework builds on the Knowledge Value Stream and on the Product […]

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Image-Based Localization System

23rd April 2020
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Abstract The position of a vehicle is essential for navigation of the vehicle along the desired path without a human interference. A good positioning system should have both good positioning […]

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Using models as boundary objects in early design negotiations: analysis and implications for decision support systems

31st March 2020
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Abstract One common strategy to include more downstream lifecycle dimensions in early design is to enrich modelling and simulation techniques embedded in decision support systems. However, downstream dimensions are difficult […]

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Value models: coordinating artefacts for conceptual design

20th March 2020
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Abstract This paper contributes to the discussion on value models as decision support in early design. Emerging from data collected through semi-structured interviews with 20 professionals in 3 manufacturing companies, […]

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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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