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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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Mining data to design value: a demonstrator in early design

ABSTRACT The paper presents a study run to verify the applicability of data mining algorithms as decision support in early design stages of a product development project. The paper describes a two-stage scenario providing the rationale for the application of data science in engineering design. Furthermore, it describes a demonstrator showing how data can be […]

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Maturity of Models in a Multi-Model Decision Support System

Abstract To reduce uncertainty in decisions, engineers experiment with models, such as, exploring what-if scenarios, and thus increase knowledge. Still, because modelling is an idealisation of reality, there is often substantial uncertainty involved, and this decision makers less confident to lean onto models alone when making decisions. The aim of this paper is to conceptualize […]

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Simulation-Driven Design Approach for Design and Optimization of Blankholder

 ABSTRACT Reliable design of stamping dies is desired for efficient and safe production. The design of stamping dies are today mostly based on casting feasibility, although it can also be based on criteria for fatigue, stiffness, safety, economy. Current work presents an approach that is built on Simulation Driven Design, enabling Design Optimization to address […]

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