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

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 Value Streams of a product innovation process and indicates how data-driven activities shall be structured and organised in relation to the different phases of a […]

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

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 to trade against more traditional engineering objectives. This research studied through individual interviews how six disciplines use models to negotiate design trade-offs. References to models […]

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Measuring Experiential Learning: An Approach Based on Lessons Learned Mapping

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 of learning in Conceive-Design-Implement-Operate activities conducted outside the classroom. The approach is based on the opportunity of gathering and analyzing lessons learned from the student […]

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

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 mathematical models to explore the feasible design space and make early decisions on future design configurations. At the same time, researchers in both value-driven design […]

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

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 product quality. Recent improvements in the ability to harvest in-line production data and the increased capability to understand complex process behaviour through computer simulations open […]

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Resource-Limited Societies, Integrated Design Solutions, and Stakeholder Input

Abstract Poverty is a multidimensional issue, characterized by deprivations and constraints at the individual, institutional, economic, and technological level. To satisfy the unmet or underserved needs of people living in poverty, the relevant constraints in the target context must be addressed via integrated design solutions. Although previous studies in this field show that designing integrated […]

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Supporting Early Stage Set-Based Concurrent Engineering with Value Driven Design

Abstract Set-Based Concurrent Engineering is commonly adopted to drive the development of complex products and systems. However, its application requires design information about a future product that is often not mature enough in the early design stages, and that it is not encompassing a service and lifecycle- oriented perspective. There is a need for manufacturers […]

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Value Driven Design revisited: emerging modelling concepts and applications

Abstract Extended product warranties, leasing, and pay-per-use schemes are few examples of how manufacturing companies are shifting their focus from selling products to offering “solutions”, combining products and services to maximise customer value. The idea of optimising a system towards the best ‘value’ is both “intuitive and sensible”, and processes such as Value Driven Design […]

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STPs’ role as facilitators when innovation-advising organizations develop a common quality-assured innovation advising process

Abstract This study explores science and technology parks’ (STP) role as facilitators when an innovation advising organization network (IAON) within the health, social welfare, and medical technology sector (health-tech) develops a quality-assured innovation advising process (QAIP). The background is that more and more products using Industry 4.0 technology are being developed for the health-tech sector. […]

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Problems when creating innovation teams

Abstract This research explores problems occurring when practitioners use a research-based methodology regarding how to create high-performing innovation teams, namely the CIT-process, which has not been used by practitioners before. The CIT-process is recommended to be used prior to the ideation phase, which otherwise is considered to be the first phase in the innovation process. […]

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