Cyber Physical And Gentelligent Systems In Manufacturing And Life Cycle
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Cyber-Physical and Gentelligent Systems in Manufacturing and Life Cycle
Cyber-Physical and Gentelligent Systems in Manufacturing and Life Cycle explores the latest technologies resulting from the integration of sensing components throughout the production supply chain, and the resulting possibilities to improve efficiency, flexibility, and product quality. The authors present cutting edge research into data storage in components, communication devices, data acquisition, as well as new industrial applications. Detailed technical descriptions of the tools are presented in addition to discussions of how these systems have been used, the benefits they provide, and what industry problems they could tackle in the future. This is essential reading for researchers and production engineers interested in the potential of cyber physical systems to optimize all parts of the supply chain. - Addresses applications of cyber physical systems throughout the product lifecycle, including design, manufacture, and maintenance - Features five industry case studies examining tools in different stages of the production chain - Provides an invaluable recap of 12 years of advances in digitization of production processes and the implementation of intelligent systems - Explores how these technologies could be used to solve problems in the future
Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations
Author: Osiris Canciglieri Junior
language: en
Publisher: Springer Nature
Release Date: 2022-02-08
The two-volume set IFIP AICT 639 and 640 constitutes the refereed post-conference proceedings of the 18th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2021, held in Curitiba, Brazil, during July 11-14, 2021. The conference was held virtually due to the COVID-19 crisis. The 107 revised full papers presented in these proceedings were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: Volume I: Sustainability, sustainable development and circular economy; sustainability and information technologies and services; green and blue technologies; AI and blockchain integration with enterprise applications; PLM maturity, PLM implementation and adoption within industry 4.0; and industry 4.0 and emerging technologies: Volume II: Design, education and management; lean, design and innovation technologies; information technology models and design; and models, manufacturing and information technologies and services.
Design Methodology for Future Products
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.