Shulph Ink
Design Methodology for Future Products: Data Driven, Agile and Flexible
Design Methodology for Future Products: Data Driven, Agile and Flexible
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- More about Design Methodology for Future Products: Data Driven, Agile and Flexible
Design Methodology for Future Products – Data Driven, Agile, and Flexible provides an overview of recent research in design methodology, focusing on a data-driven, agile, and flexible way of working. It covers topics such as product development and management, specific products and systems, facing challenges in product development, and model-based engineering in product development. The book demonstrates how product improvements can be made through agile experiential learning, reverse engineering, usability and emotions, and context-adapted methods. It also highlights the potential of model-based systems engineering for modular product families and engineering of multidisciplinary complex systems.
Format: Paperback / softback
Length: 306 pages
Publication date: 15 December 2022
Publisher: Springer Nature Switzerland AG
Design Methodology for Future Products – Data Driven, Agile, and Flexible offers a comprehensive exploration of the latest advancements in design methodology, as seen through the lenses of the members of the scientific society for product development (WiGeP - Wissenschaftliche Gesellschaft für Produktenwicklung e.V.). This book seeks to make valuable contributions to the field of design methods and their practical application for the creation of innovative products in the future. The central focus lies in the adoption of a data-driven, agile, and flexible approach to work.
The book is organized into four chapters, each addressing distinct topics:
Methods for Product Development and Management: This chapter delves into the various methods and strategies employed in product development and management. It explores techniques such as agile strategic foresight, system generation engineering, technical inheritance in data-driven product development, and product improvements through agile experiential learning, reverse engineering, and the integration of usability and emotions.
Methods for Specific Products and Systems: This chapter focuses on the application of design methodologies to specific products and systems. It discusses approaches tailored to mechatronic and cyber-physical systems, sustainable mobility systems, and in situ sensor integration. It highlights the development of future-oriented products in these domains, emphasizing the overcoming of challenges through context-adapted methods, efficiency, effectiveness, and designer-centered methods to address cognitive bias.
Facing the Challenges in Product Development: This chapter explores the challenges faced in product development and provides solutions. It discusses methods for addressing challenges related to efficiency, effectiveness, cognitive bias, and target-oriented availability of data and information. It also explores the concept of flow design for achieving optimal data and information availability in product development.
Model-Based Engineering in Product Development: This chapter emphasizes the role of model-based systems engineering in product development. It discusses the integration of model elements at all stages and phases of the product development process, from concept generation to realization. It highlights the benefits of model-based engineering in terms of function-driven product development, collaboration, and decision-making.
In conclusion, Design Methodology for Future Products – Data Driven, Agile, and Flexible provides a comprehensive and insightful examination of the latest trends and developments in design methodology. By adopting a data-driven, agile, and flexible approach, designers and product development professionals can create innovative and successful products that meet the changing demands of the market. This book serves as a valuable resource for researchers, practitioners, and students interested in advancing the field of design methodology and product development.
Weight: 538g
Dimension: 240 x 168 (mm)
ISBN-13: 9783030783709
Edition number: 1st ed. 2022
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