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Raising Value and Sustainability awareness for critical materials: a serious game for the aerospace sector

Abstract Aviation strives today to include environmental and social considerations as drivers for decision making in design. This paper proposes a serious game to raise awareness of the value and cost implications of being ‘sustainability compliant’ when developing aerospace sub-systems and components. After describing the development of the game, from needfinding to prototyping and testing, […]

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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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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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Life cycle simulation to support cross-disciplinary decision making in early PSS design

ABSTRACT The development of early-stage simulation capabilities is a critical step in the quest for ‘frontloading’ early stage PSS design activities, reducing the cost and risk for rework associated with sub-optimal decisions. This paper describes how life cycle simulations, based on a Discrete Event approach, can be applied to support cross-disciplinary decision making in PSS design, facilitating […]

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Data Visualization in Conceptual Design: Developing a Prototype to Support Decision Making

ABSTRACT In recent years, data visualization has received a lot of attention and widely applicate in many areas. Data is a treasure, a lot of valuable information hidden inside. While visualizing the hidden information concisely and intuitively is a critical task. In this paper, we explore how data visualization could support conceptual design. A specific […]

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PDRL at MOSIM’18: Master thesis work candidate to Young Research Award

How do we deal with the visualization of complex data to improve the conceptual design stage? This was the topic of the paper presented by Xin Yi, former MSPI student at BTH, and now a PhD student at University of Toulouse (INSA) at the 12thInternational Conference on Modeling, Optimization and Simulation that took place in […]

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Role and Challenges of Data-Driven Design in the Product Innovation Process

ABSTRACT The paper discusses the role and the challenges of integrating Data-Driven Design (DDD) models in the product innovation process. Firstly, based on academic literature on the Product Innovation Value Streamsand on Model-Based Decision Supports, the paper highlights how and when the use of DDD models can support a more effective product innovation process. Secondly, it […]

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On knowledge maturity and biased nature of staged decision making in a high consequence industry

ABSTRACT This paper explores and problematizes decision-making in a high-consequence industry which is characterized by the stage-gate process. We showcase that decision-makers do not differentiate between the types of knowledge used for modelling decisions and calculation of risks. This makes them susceptible to incorporating cognitive distortions—biases—into the stage-gate process. We conclude by amending the risk […]

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Model-based decision support for value and sustainability assessment: applying machine learning in aerospace product development

ABSTRACT This paper presents a prescriptive approach toward the integration of value and sustainability models in an automated decision support environment enabled by machine learning (ML). The approach allows the concurrent multidimensional analysis of design cases complementing mechanical simulation results with value and sustainability assessment. ML allows to deal with both qualitative and quantitative data […]

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A model-driven decision arena: Augmenting decision making in early design

ABSTRACT A wide variety of expert competencies, transcending traditional disciplines, are needed to foresee and evaluate the impact of decisions in the conceptual phase of engineering design. Where this previously was a trade-off regarding design and development of the pure physical artefact it is now a complex ambiguity game involving all disciplines touching a solution […]

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