Cloud Manufacturing


Cloud Manufacturing
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Cloud Manufacturing


Cloud Manufacturing
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Author : Weidong Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-01

Cloud Manufacturing written by Weidong Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-01 with Technology & Engineering categories.


Global networks, which are the primary pillars of the modern manufacturing industry and supply chains, can only cope with the new challenges, requirements and demands when supported by new computing and Internet-based technologies. Cloud Manufacturing: Distributed Computing Technologies for Global and Sustainable Manufacturing introduces a new paradigm for scalable service-oriented sustainable and globally distributed manufacturing systems. The eleven chapters in this book provide an updated overview of the latest technological development and applications in relevant research areas. Following an introduction to the essential features of Cloud Computing, chapters cover a range of methods and applications such as the factors that actually affect adoption of the Cloud Computing technology in manufacturing companies and new geometrical simplification method to stream 3-Dimensional design and manufacturing data via the Internet. This is further supported case studies and real life data for Waste Electrical and Electronic Equipment (WEEE) remanufacturing. This compilation of up to date research and literature can be used as a textbook or reference for mechanical, manufacturing, and computer engineering graduate students and researchers for efficient utilization, deployment and development of distributed and Cloud manufacturing systems, services and applications.



Scheduling In Industry 4 0 And Cloud Manufacturing


Scheduling In Industry 4 0 And Cloud Manufacturing
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Author : Boris Sokolov
language : en
Publisher: Springer Nature
Release Date : 2020-06-08

Scheduling In Industry 4 0 And Cloud Manufacturing written by Boris Sokolov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-08 with Business & Economics categories.


This book has resulted from the activities of IFAC TC 5.2 “Manufacturing Modelling for Management and Control”. The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0. The purpose of this book is to present recent developments in scheduling in cloud manufacturing and Industry 4.0 and to systemize these developments in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and practitioners to uncover the challenges and opportunities of scheduling techniques’ applications to cloud manufacturing and Industry 4.0. For the first time, it comprehensively conceptualizes scheduling in cloud manufacturing and Industry 4.0 systems as a new research domain. The chapters of the book are written by the leading international experts and utilize methods of operations research, industrial engineering and computer science. Such a multi-disciplinary combination is unique and comprehensively deciphers major problem taxonomies, methodologies, and applications to scheduling in cloud manufacturing and Industry 4.0.



Customized Production Through 3d Printing In Cloud Manufacturing


Customized Production Through 3d Printing In Cloud Manufacturing
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Author : Lin Zhang
language : en
Publisher: Elsevier
Release Date : 2022-11-22

Customized Production Through 3d Printing In Cloud Manufacturing written by Lin Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-22 with Computers categories.


Customized Production Through 3D Printing in Cloud Manufacturing explains how to combine the latest cloud manufacturing and additive manufacturing technology to find innovative solutions to important problems in research and industry. The manufacturing industry strives constantly to improve levels of product personalization for its customers, who have become increasingly demanding in this respect in recent decades. Among the tools currently growing in use in the industry, there is great potential to address this demand. Cloud manufacturing maps manufacturing resources and capabilities to the cloud, adding the capacity to gather decentralized manufacturing resources and use manufacturing services on-demand, and 3D printing provides strong support for truly individualized manufactured components. This is the first book to cover the whole lifecycle of 3D printing services in a cloud environment, including topics like: cloud servitization of 3D printers, 3D printing model design, supply-demand matching and scheduling, on-demand using and pricing, printing monitoring in cloud, and printing service evaluation. With a systematic introduction to this promising manufacturing paradigm, as well as coverage of models and service management to practical applications, this book will meet the needs of a broad range of researchers as well as practitioners. Provides readers with a unique combined technical overview of two rapidly developing technologies and how they interact in a modern manufacturing system Explores important challenges to security and privacy posed by these new technologies Draws on valuable knowledge of how these technologies have been applied in innovative industry settings



Service Management And Scheduling In Cloud Manufacturing


Service Management And Scheduling In Cloud Manufacturing
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Author : Yongkui Liu
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-08-01

Service Management And Scheduling In Cloud Manufacturing written by Yongkui Liu and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-01 with Computers categories.


The book establishes the concept of cloud manufacturing and describes the technological system behind it. The authors discuss key technologies such as resources sensation and access, service-oriented architecture, cloud service management and evaluation, and interface visualization. With abundant case studies, the book is an essential reference for researchers and engineers in manufacturing and information management.



Cloud Based Cyber Physical Systems In Manufacturing


Cloud Based Cyber Physical Systems In Manufacturing
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Author : Lihui Wang
language : en
Publisher: Springer
Release Date : 2017-11-16

Cloud Based Cyber Physical Systems In Manufacturing written by Lihui Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-16 with Technology & Engineering categories.


This book presents state-of-the-art research, challenges and solutions in the area of cloud-based cyber-physical systems (CPS) used in manufacturing. It provides a comprehensive review of the literature and an in-depth treatment of novel methodologies, algorithms and systems in the area of architecture design, cyber security, process planning, monitoring and control. The book features detailed descriptions of how to derive solutions in a cloud environment where physical machines can be supported by cyber decision systems when engaged in real operations. It presents a range of novel ideas and is characterized by a balanced approach in terms of scope vs. depth and theory vs. applications. It also takes into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Dedicated to the topic of cloud-based CPS and its practical applications in manufacturing, this book benefits readers from all manufacturing sectors, from system design to lifecycle engineering and from process planning to machine control. It also helps readers to understand the present challenges and future research directions towards factories of the future, helping them to position themselves strategically for career development.



Cloud Manufacturing


Cloud Manufacturing
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Author : Isiah Nichols
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-08-09

Cloud Manufacturing written by Isiah Nichols and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-09 with categories.


This compilation of up to date research and literature can be used as a textbook or reference for mechanical, manufacturing, and computer engineering graduate students and researchers for efficient utilization, deployment and development of distributed and Cloud manufacturing systems, services and applications.Global networks, which are the primary pillars of the modern manufacturing industry and supply chains, can only cope with the new challenges, requirements and demands when supported by new computing and Internet-based technologies. Cloud Manufacturing introduces a new paradigm for scalable service-oriented sustainable and globally distributed manufacturing systems.



Cloud Based Design And Manufacturing Cbdm


Cloud Based Design And Manufacturing Cbdm
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Author : Dirk Schaefer
language : en
Publisher: Springer
Release Date : 2014-06-16

Cloud Based Design And Manufacturing Cbdm written by Dirk Schaefer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-16 with Technology & Engineering categories.


The book introduces the reader to game-changing ways of building and utilizing Internet-based services related to design and manufacture activities through the cloud. In a broader sense, CBDM refers to a new product realization model that enables collective open innovation and rapid product development with minimum costs through social networking and negotiation platforms between service providers and consumers. It is a type of parallel and distributed system consisting of a collection of inter-connected physical and virtualized service pools of design and manufacturing resources as well as intelligent search capabilities for design and manufacturing solutions. Practicing engineers and decision makers will learn how to strategically position their product development operations for success in a globalized interconnected world.



Manufacturing Service Collaboration Optimization And Management In Cloud Manufacturing


Manufacturing Service Collaboration Optimization And Management In Cloud Manufacturing
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Author : 王磊
language : en
Publisher:
Release Date : 2020

Manufacturing Service Collaboration Optimization And Management In Cloud Manufacturing written by 王磊 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Cloud computing categories.




Network Considerations For A Cloud Manufacturing Marketplace


Network Considerations For A Cloud Manufacturing Marketplace
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Author : William Peck
language : en
Publisher:
Release Date : 2023

Network Considerations For A Cloud Manufacturing Marketplace written by William Peck and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.


Industry 4.0 describes advances in information technology that aid in developing modern, flexible, automatic, and innovative manufacturing systems and is an opportunity to change from production-oriented to service-oriented architectures. Cloud manufacturing helps realize this service-oriented goal by creating virtual platforms shared across the internet that allows for consumers to interact with suppliers. Resource providers (suppliers) interact with the platform by virtually encapsulating their machining capabilities and capacities and are matched with service requestors (consumers) whose product contains a number of functional requirements manifested through manufacturing features and other part specifications. The realization of a cloud manufacturing platform involves the networking of many different systems to create a seamless end-to-end architecture that allows service requestors to achieve service-oriented production. However, these networking linkages imply challenges as to the automatic recognition of manufacturing features, the identification of feasible vendors, and the simulation of production capacity. Recent advances in artificial intelligence and data analytics create new opportunities to fulfill consumer requirements in an automatic way across the cloud. The objective of this dissertation is to develop algorithms that automatically recognize manufacturing features, match part characteristics to machining capabilities, and simulate part fabrication to achieve production estimates. Therefore, the cloud manufacturing process inputs a 3D CAD model submitted by the service requestor and outputs cost and cycle-time for every feasible vendor. This research enables and assists in 1) the automatic extraction and detection of different manufacturing features created through subtractive processes, 2) the identification of feasible vendors based on granular machining capabilities that exist on the shop floor, and 3) robust estimation of cycle-time and cost for all feasible vendors. The accomplishments are summarized as follows: Automatic recognition of manufacturing features using keypoint detection: A computer vision framework using KAZE descriptors able to extract and detect variety of manufacturing features located on a variety of parts that is able to overcomes challenges identified in literature. Identification of feasible vendors: A matching algorithm that uses the number and type of manufacturing features and part specifications to identify feasible vendors able to fulfill all requirements of the service provider where a granular approach is used to represent machine capabilities present on the shop-floor. Robust estimates of cost and cycle-time: A discrete-event simulation is automatically created using machine capabilities where the production capacity of feasible vendors is simulated to achieve cost and cycle-time estimates made robust through the inclusion of input uncertainty considerations.



Design And Operation Of Production Networks For Mass Personalization In The Era Of Cloud Technology


Design And Operation Of Production Networks For Mass Personalization In The Era Of Cloud Technology
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Author : Dimitris Mourtzis
language : en
Publisher: Elsevier
Release Date : 2021-11-10

Design And Operation Of Production Networks For Mass Personalization In The Era Of Cloud Technology written by Dimitris Mourtzis and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Technology & Engineering categories.


Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology draws on the latest industry advances to provide everything needed for the effective implementation of this powerful tool. Shorter product lifecycles have increased pressure on manufacturers through the increasing variety and complexity of production, challenging their workforce to remain competitive and profitable. This has led to innovation in production network methodologies, which together with opportunities provided by new digital technologies has fed a rapid evolution of production engineering that has opened new solutions to the challenges of mass personalization and market uncertainty. In addition to the latest developments in cloud technology, reference is made to key enabling technologies, including artificial intelligence, the digital twin, big data analytics, and the internet of things (IoT) to help users integrate the cloud approach with a fully digitalized production system. Presents diverse cases that show how cloud-based technologies can be used in different ways as part of the standard operation of global production networks Provides detailed reviews of new technologies like the digital twin, big data analytics, and blockchain to provide context on the role of cloud technologies in a fully digitalized system Explores future trends for cloud technology and production engineering