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Design Methodology for Future Products - Data Driven, Agile and Flexible (Paperback, 1st ed. 2022)
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Design Methodology for Future Products - Data Driven, Agile and Flexible (Paperback, 1st ed. 2022)
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Design Methodology for Future Products - Data Driven, Agile and
Flexible provides an overview of the recent research in the field
of design methodology from the point of view of the members of the
scientific society for product development (WiGeP -
Wissenschaftliche Gesellschaft fur Produktenwicklung e.V.). This
book aims to contribute to design methods and their implementation
for innovative future products. The main focus is the crucial
data-driven, agile, and flexible way of working. Four topics are
covered in corresponding chapters, Methods for Product Development
and Management, Methods for Specific Products and Systems, Facing
the Challenges in Product Development and Model-Based Engineering
in Product Development. This publication starts with the agile
strategic foresight of sustainable mechatronic and cyber-physical
systems, moves on to the topics of system generation engineering in
development processes, followed by the technical inheritance in
data-driven product development. Product improvements are shown via
agile experiential learning based on reverse engineering and via
combination of usability and emotions. Furthermore, the development
of future-oriented products in the field of biomechatronic systems,
sustainable mobility systems and in situ sensor integration is
shown. The overcoming of challenges in product development is
demonstrated through context-adapted methods by focusing on
efficiency and effectiveness, as well as designer-centered methods
to tackle cognitive bias. Flow design for target-oriented
availability of data and information in product development is
addressed. Topics of model-based systems engineering are applied to
the function-driven product development by linking model elements
at all stages and phases of the product. The potential of
model-based systems engineering for modular product families and
engineering of multidisciplinary complex systems is shown.
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