Product Lifecycle Management Leveraging Digital Twins Circular Economy And Knowledge Management For Sustainable Innovation

This two-volume set IFIP AICT 701-702 constitutes the refereed post-conference proceedings of the 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, PLM 2023, held in Montreal, QC, Canada, during July 9–12, 2023. The 61 regular papers included in this book were carefully reviewed and selected from 116 submissions. They are organized in the following thematic sections: Part I: Technology implementation: augmented reality, CPS and digital twin; organisation: knowledge management, change management, frameworks for project and service development; modelisation : CAD and collaboration, model-based system engineering and building information modeling. Part II: Circular economy: characterization, criteria and implementation; interoperability technology: blockchain, IoT and ontologies for data exchange; learning and training: from AI to a human-centric approach; smart processes: prediction, optimization and digital thread.

This two-volume set IFIP AICT 701-702 constitutes the refereed post-conference proceedings of the 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, PLM 2023, held in Montreal, QC, Canada, during July 9–12, 2023. The 61 regular papers included in this book were carefully reviewed and selected from 116 submissions. They are organized in the following thematic sections: Part I: Technology implementation: augmented reality, CPS and digital twin; organisation: knowledge management, change management, frameworks for project and service development; modelisation : CAD and collaboration, model-based system engineering and building information modeling. Part II: Circular economy: characterization, criteria and implementation; interoperability technology: blockchain, IoT and ontologies for data exchange; learning and training: from AI to a human-centric approach; smart processes: prediction, optimization and digital thread.

This volume addresses the convergence of three technologies that emerged in the early 21st century: Product Lifecycle Management (PLM), the Internet of Things (IoT), and Digital Twins. These are available to all manufacturing companies as their products go through the product lifecycle. This starts with Ideation, continues through Definition, Realisation and Use/Support, and ends with Retirement/Disposal. This book is the 7th volume in a series that started in 2004 with the publication of ‘Product Lifecycle Management: 21st Century Paradigm for Product Realisation’, which has become a seminal book on PLM. The first chapters of the book address the fundamentals of PLM, the IoT and Digital Twins, highlighting their value and benefits. The following chapters look at applications and advantages resulting from the convergence of the three technologies in specific phases of the product lifecycle. Digital Twin applications in these phases include decision support, design iteration acceleration, predictive analytics and maintenance, product and process documentation, product upgrades, product and manufacturing process simulation, quality assurance, remote monitoring and troubleshooting, remote sales, training, virtual prototyping, and virtual showrooms. The final chapter addresses the implementation of an integrated PLM and Digital Twin environment. The book gives the reader a broad understanding, valuable insights, and practical guidance about three important technologies and the way they are converging and evolving together. It will stimulate innovation, propel companies forward, and motivate them to succeed in an increasingly digitally connected product world.

The Digital Twin book is about harnessing the power of technology, business practices, and the digital infrastructure to make revolutionary improvements for the benefit of society. Ninety experts from around the world contributed to summarize four decades of digital advances and successes, and to define the Digital Twin’s potential for the decades ahead. The book describes how Digital Twins will play a key role in specific applications and across important sectors of the global economy, making it a must-read for executives, policymakers, technical leaders, researchers, and students alike. The book consists of thirty-eight chapters that cover Digital Twin concepts, supporting technologies, practices, and specific implementation strategies for various production and service sectors. Digital Twins are about creating faster, less expensive, and error-free manufacturing, products, processes, and services. This includes engineering of systems for energy, communications, construction, transportation, and food processing. It also covers solutions for making human existence better and more enjoyable through the life sciences, smart cities, and artistic creations. The Digital Twin’s functionality addresses the entire lifecycle of products and services. Importantly, the book describes the journey required for businesses and public organizations to embrace Digital Twins as part of their tool kit. The Digital Twin is the ideal starting point for teaching and research in all application domains.

Globalization and increased competition are forcing companies to review and improve their production processes to be more sustainable. However, a clear vision and environmental culture are lacking because, even today, companies are motivated to act to improve the environment essentially by compliance with government regulations and the opportunity to achieve profit growth. This book presents practices, challenges, and opportunities for the digital and sustainable transformation of business as we know it.

This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing.

This book presents the theory and practice of product lifecycle management, chiefly focusing on modern approaches suitable for digitalized enterprises. In addition to describing adaptive methods for advanced product creation using big data analytics, it presents economic and mathematical models for managing product lifecycles based on the application of recent methods (e.g. digital design and automated intelligent systems) to control pre-production and production processes. Given its scope, the book appeals to researchers, economic analysts and entrepreneurs alike.