June 19, 2021

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Smart Manufacturing

Smart Manufacturing
Author : Masoud Soroush,Michael Baldea,Thomas F. Edgar
Publisher : Elsevier
Release Date : 2020-08-04
Category : Technology & Engineering
Total pages :426
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Research efforts in the past ten years have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Concepts and Methods puts these advances in perspective, showing how process industries can benefit from these new techniques. The book consolidates results developed by leading academic and industrial groups in the area, providing a systematic, comprehensive coverage of conceptual and methodological advances made to date. Written by leaders in the field from around the world, Smart Manufacturing: Concepts and Methods is essential reading for graduate students, researchers, process engineers, and managers. It is complemented by a companion book titled Smart Manufacturing: Applications and Case Studies, which covers the applications of smart manufacturing concepts and methods in process industries and beyond. Takes a process-systems engineering approach to design, monitoring, and control of smart manufacturing systems Brings together the key concepts and methods of smart manufacturing, including the advances made in the past decade Includes coverage of computation methods for process optimization, control, and safety, as well as advanced modelling techniques

Nanosensors for Smart Manufacturing

Nanosensors for Smart Manufacturing
Author : Sabu Thomas,Tuan Anh Nguyen,Mazaher Ahmadi,Ali Farmani,Ghulam Yasin
Publisher : Elsevier
Release Date : 2021-06-10
Category : Technology & Engineering
Total pages :632
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Nanosensors for Smart Manufacturing provides information on the fundamental design concepts and emerging applications of nanosensors in smart manufacturing processes. In smart production, if the products and machines are integrated, embedded, or equipped with sensors, the system can immediately collect the current operating parameters, predict the product quality, and then feed back the optimal parameters to machines in the production line. In this regard, smart sensors and their wireless networks are important components of smart manufacturing. Nanomaterials-based sensors (nanosensors) offer several advantages over their microscale counterparts, including lower power consumption, fast response time, high sensitivity, lower concentration of analytes, and smaller interaction distance between sensors and products. With the support of artificial intelligence (AI) tools such as fuzzy logic, genetic algorithms, neural networks, and ambient intelligence, sensor systems have become smarter. This is an important reference source for materials scientists and engineers who want to learn more about how nanoscale sensors can enhance smart manufacturing techniques and processes. Outlines the smart nanosensor classes used in manufacturing applications Shows how nanosensors are being used to make more efficient manufacturing systems Assesses the major obstacles to designing nanosensor-based manufacturing systems at an industrial scale

Smart Manufacturing

Smart Manufacturing
Author : Masoud Soroush,Michael Baldea,Thomas F. Edgar
Publisher : Elsevier
Release Date : 2020-08-28
Category : Technology & Engineering
Total pages :442
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Research efforts in the past ten years have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Concepts and Methods puts these advances in perspective, showing how process industries can benefit from these new techniques. The book consolidates results developed by leading academic and industrial groups in the area, providing a systematic, comprehensive coverage of conceptual and methodological advances made to date. Written by leaders in the field from around the world, Smart Manufacturing: Concepts and Methods is essential reading for graduate students, researchers, process engineers, and managers. It is complemented by a companion book titled Smart Manufacturing: Applications and Case Studies, which covers the applications of smart manufacturing concepts and methods in process industries and beyond. Takes a process-systems engineering approach to design, monitoring, and control of smart manufacturing systems Brings together the key concepts and methods of smart manufacturing, including the advances made in the past decade Includes coverage of computation methods for process optimization, control, and safety, as well as advanced modelling techniques

Digital Twin Driven Smart Manufacturing

Digital Twin Driven Smart Manufacturing
Author : Fei Tao,Meng Zhang,A.Y.C. Nee
Publisher : Academic Press
Release Date : 2019-02-07
Category : Technology & Engineering
Total pages :282
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Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process. The interest in digital twin in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, and connected manufacturing systems. This book provides an ideal entry point to this subject for readers in industry and academia, as it answers the questions: (a) What is a digital twin? (b) How to construct a digital twin? (c) How to use a digital twin to improve manufacturing efficiency? (d) What are the essential activities in the implementation of a digital twin? (e) What are the most important obstacles to overcome for the successful deployment of a digital twin? (f) What are the relations between digital twin and New Technologies? (g) How to combine digital twin with the New Technologies to achieve high efficiency and smartness in manufacturing? This book focuses on these problems as it aims to help readers make the best use of digital twin technology towards smart manufacturing. Analyzes the differences, synergies and possibilities for integration between digital twin technology and other technologies, such as big data, service and Internet of Things Discuss new requirements for a traditional three-dimension digital twin and proposes a methodology for a five-dimension version Investigates new models for optimized manufacturing, prognostics and health management, and cyber-physical fusion based on the digital twin

Digital Transformation in Smart Manufacturing

Digital Transformation in Smart Manufacturing
Author : Antonella Petrillo,Raffaele Cioffi,Fabio De Felice
Publisher : BoD – Books on Demand
Release Date : 2018-02-28
Category : Business & Economics
Total pages :156
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The purpose of this book is to provide an overview of the new industrial revolution: the "Industry 4.0." Globalization and competitiveness are forcing companies to review and improve their production processes. Industry 4.0 is a revolution that involves many different sectors and is still evolving. It represents the integration of tools already used in the past (big data, cloud, robot, 3D printing, simulation, etc.) that are now connected to a smart network by transmitting digital data at high speeds. The implementation of a 4.0 system represents a huge change for companies, which are faced with big investments. The idea of the book is to present practices, challenges, and opportunities related to the Industry 4.0. This book is intended to be a useful resource for anyone who deals with this issue.

Data Driven Smart Manufacturing Technologies and Applications

Data Driven Smart Manufacturing Technologies and Applications
Author : Weidong Li,Yuchen Liang,Sheng Wang
Publisher : Springer
Release Date : 2021-02-21
Category : Technology & Engineering
Total pages :218
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This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

Smart Manufacturing with Artificial Intelligence

Smart Manufacturing with Artificial Intelligence
Author : Jake Krakauer
Publisher : Society of Manufacturing Engineers
Release Date : 1987
Category : Technology & Engineering
Total pages :258
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Proceedings of the 14th International Conference on Flexible Automation and Intelligent Manufacturing

Proceedings of the 14th International Conference on Flexible Automation and Intelligent Manufacturing
Author : Lihui Wang,National Research Council Canada,International Conference on Flexible Automation and Intelligent Manufacturing (14th : 2004 : Ryerson University)
Publisher : NRC Research Press
Release Date : 2004
Category : Automation
Total pages :677
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Robotics in Smart Manufacturing

Robotics in Smart Manufacturing
Author : Pedro Neto,António Paulo Moreira
Publisher : Springer
Release Date : 2013-06-12
Category : Computers
Total pages :225
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This book constitutes the refereed proceedings of the International Workshop on Robotics in Smart Manufacturing, WRSM 2013, held in Porto, Portugal, in June 2013. The 20 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address issues such as robotic machining, off-line robot programming, robot calibration, new robotic hardware and software architectures, advanced robot teaching methods, intelligent warehouses, robot co-workers and application of robots in the textile industry.

Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence

Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence
Author : Luo, ZongWei
Publisher : IGI Global
Release Date : 2014-03-31
Category : Technology & Engineering
Total pages :407
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Fast advances in information technology have led to a smarter world vision with ubiquitous interconnection and intelligence. Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence covers both theoretical perspectives and practical approaches to smart manufacturing research and development triggered by ubiquitous interconnection and intelligence. This reference work discusses the transformation of manufacturing, the latest developments in smart manufacturing innovation, current and emerging technology opportunities, and market imperatives that enable manufacturing innovation and transformation, useful tools for readers in industry, academia, and government.

Achieve Manufacturing Excellence Lean and Smart Manufacturing

Achieve Manufacturing Excellence Lean and Smart Manufacturing
Author : Dr Azlan Nithia
Publisher : Partridge Publishing Singapore
Release Date : 2019-06-07
Category : Business & Economics
Total pages :170
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The new industrial revolution in manufacturing is primarily focused on the implementation of smart manufacturing technologies leading to the factory of the future. This will require the machines, robots and processes to be digitally connected to deliver real-time analysis and monitor them for performance and efficiencies. To take advantage of these important digital technologies, the manufacturing processes and equipment must be operating very efficiently, predictable and the processes always need to be performing at their optimal levels. The factories of the future will have smart innovations operationalized with transformational digital technologies, new business models, and processes that will increase profits, reduce lead time, reduce human interventions, decrease product costs, enhance the consumer experience, and increase global market share by being relevant and responsive to any digital market disruptions. The lean manufacturing principles must be the foundation and constantly be strengthened so that smart manufacturing applications can be efficiently implemented to deliver the required manufacturing productivity and achieve customer responsiveness. To become a customer-driven company, the companies must become a solution provider and constantly improve the end to end supply chain. The goal of smart manufacturing is the value creation for the consumers and the advanced technological innovations to deliver sustainable top-line growth for the companies and to gain a bigger market share.

Smart Automation to Smart Manufacturing

Smart Automation to Smart Manufacturing
Author : Uthayan Elangovan
Publisher : Momentum Press
Release Date : 2019-05
Category :
Total pages :124
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The advent of modern technology and fourth Industrial revolution, particularly the industrial Internet of things, has brought enormous changes to the manufacturing industry. This book is about the growth of smart factory. We live in a smart, connected world. The number of things connected to the Internet currently surpasses the number of people in the world, and we're accelerating to numerous linked gadgets by the end of the decade. For manufacturers, the implications of this emerging "Internet of Things" are huge. Manufacturers must begin to transform existing business processes and fundamentally rethink how they create, operate, and service smart connected products in the era of Industry 4.0. This book is virtually a one volume encyclopedia on industrial Internet of things, the author explain its evolution, M2M data communication, real time business application and business use case as well touch base the technology prerequisite along with high level overview of implementing IIoT to achieve smart manufacturing focus on improving existing processes to increase efficiencies, and concludes with a view on careers in industrial automation.

Intelligent Manufacturing

Intelligent Manufacturing
Author : Michael D. Oliff
Publisher : Benjamin-Cummings Publishing Company
Release Date : 1988
Category : Business & Economics
Total pages :422
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Smart Manufacturing

Smart Manufacturing
Author : Shoukat Ali
Publisher : Unknown
Release Date : 2016-09-03
Category :
Total pages :68
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Intelligent Manufacturing Structure, Control, and Integration

Intelligent Manufacturing Structure, Control, and Integration
Author : Eugene Ralph Fisher
Publisher : Unknown
Release Date : 1990
Category : Composite materials
Total pages :309
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