Beschreibung:
Methods for Product Development and Management: From Agile Strategic Foresight to Sustainable Mechatronic and Cyber-Physical Systems in Circular Economies -- Model of SGE – System Generation Engineering as basis for structured planning and management of development -- Technical inheritance as an approach to data-driven product development -- Application of agile experiential learning based on reverse engineering as support in product development -- Methods for specific systems and products: Improving products by combining usability and emotions -- Challenges in the development of biomechatronic systems -- Design Methodologies for Sustainable Mobility Systems -- Methods for In Situ Sensor Integration -- Facing the Challenges in Product Development: Context-adapted methods of modern product development - Recommendations and best practice examples -- An approach to develop designer-centred methods – illustrated by an example on how to overcome cognitive bias in product development -- Data and information flow design in product development -- Model-based Engineering in Product Development: Model-Based Systems Engineering – A New Way for Function-Driven Product Development -- Function-oriented model-based product development -- Model-Based Systems Engineering - Discovering potentials for methodical modular product development -- Methodical approaches for engineering complex systems.
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 für 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.