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Author: Colin Koh
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 232
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Book Description
"Industry 4.0: Smart Factories" comes after our first book "Industry 4.0: Navigating the Manufacturing Revolution in ASEAN" (2019), and takes us through the key technologies as the pillars to build up a Smart Factory to transform the current manufacturing operations into a brand new model driven by the innovation based on the real-time data collection, processing and analysis. We also present our understanding of the principles of building a real smart factory. As a surging region, ASEAN is on its way to gain a lot of value from this round of revolution and catch up with the leading economies and find our place in the global value chain.
Author: Colin Koh
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 232
Get Book
Book Description
"Industry 4.0: Smart Factories" comes after our first book "Industry 4.0: Navigating the Manufacturing Revolution in ASEAN" (2019), and takes us through the key technologies as the pillars to build up a Smart Factory to transform the current manufacturing operations into a brand new model driven by the innovation based on the real-time data collection, processing and analysis. We also present our understanding of the principles of building a real smart factory. As a surging region, ASEAN is on its way to gain a lot of value from this round of revolution and catch up with the leading economies and find our place in the global value chain.
Author: Fumihiko Kimura
Publisher: Springer Science & Business Media
ISBN: 1848002661
Category : Business & Economics
Languages : en
Pages : 555
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Book Description
Collected here are 112 papers concerned with new directions in manufacturing systems, given at the 41st CIRP Conference on Manufacturing Systems. The high-quality material includes reports of work from both scientific and engineering standpoints.
Author: Lukas Budde
Publisher: Springer Nature
ISBN: 303117254X
Category : Technology & Engineering
Languages : en
Pages : 297
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Book Description
The digitization of factories promises great potential benefits. The implementation of the various technologies for the smart factory is extremely complex, requires new competencies and necessitates significant investments. The question is: How can an industrial company successfully manage this transformation? For this purpose, more than 500 published use cases were screened. These could be categorized into 44 relevant use cases, which we describe in detail in the book. Our research has also shown that strategy and goal orientation must be at the core of the change. Furthermore, the combination of employee knowledge and use of technology is central to success. This led to the creation of our smart factory implementation approach. In various research and consulting projects we were able to apply this process and realize successful implementations in different companies. This 7-step process starts with the selection of promising use cases, followed by a prioritization step, adaptation to the company-specific context and a detailing of the information needs for the different management levels. Stringent project management helps the user achieve positive results that can then be rolled out on a global scale. This process is not only applicable to the "actual factory" but can also be used to design smart services for the factory of tomorrow. Content Smart factory definition and characterization · The smart factory navigator · The smart factory framework · Description of the 44 use cases for the smart factory · Technology mapping in relation to the 44 use cases · Smart factory implementation process · Smart services for the smart factory
Author: Goundar, Sam
Publisher: IGI Global
ISBN: 1799833771
Category : Computers
Languages : en
Pages : 311
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Book Description
Industrial internet of things (IIoT) is changing the face of industry by completely redefining the way stakeholders, enterprises, and machines connect and interact with each other in the industrial digital ecosystem. Smart and connected factories, in which all the machinery transmits real-time data, enable industrial data analytics for improving operational efficiency, productivity, and industrial processes, thus creating new business opportunities, asset utilization, and connected services. IIoT leads factories to step out of legacy environments and arcane processes towards open digital industrial ecosystems. Innovations in the Industrial Internet of Things (IIoT) and Smart Factory is a pivotal reference source that discusses the development of models and algorithms for predictive control of industrial operations and focuses on optimization of industrial operational efficiency, rationalization, automation, and maintenance. While highlighting topics such as artificial intelligence, cyber security, and data collection, this book is ideally designed for engineers, manufacturers, industrialists, managers, IT consultants, practitioners, students, researchers, and industrial industry professionals.
Author: Philip Yogi
Publisher: 에스티엠연구소
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 184
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Book Description
This book was written to help readers understand and utilize the concept of a smart factory by establishing a Data Acquisition System (DAS), which automatically collects sensor signals and data related to facility/process in real-time. It covers topics such as how to bring collected data from the server into Excel and R for practical use, as well as introducing machine learning. This is not an introduction of products such as a Vision System that uses smart cameras and AI functions to screen defective products, an automatic recognition parking system for vehicle license plates, or a smart farm (intelligent farm) that utilizes AI sensors. Instead, this book introduces the basics and principles of artificial intelligence (machine learning, deep learning). By understanding the basics and principles, it becomes easy to apply them in practice. This book is not limited to specific readers, but is aimed at the following: ● Individuals or companies interested in real-time automatic data collection systems for equipment/process lines ● Individuals or companies who want to establish a server at a low cost and utilize it with DAS ● Those who want to gain experience with IoT (Internet of things), servers, big data, R, etc. ● Companies planning and promoting the establishment of a DIY smart factory and wanting to operate it successfully ● Companies expecting savings more than 70% of ICT CAPEX with Low-Code/No-Code Development, OSS and general-purpose SCADA software ● Individuals who want to understand the basics and principles of artificial intelligence and apply them easily DAS, translated literally as "Data Acquisition System," is practically expressed as a real-time automatic data collection system. This concept involves reading sensor signals in real-time and automatically storing the data in a computer, instead of manually inputting data into a computer. DAS forms the foundation of smart factories, artificial intelligence (AI), big data, autonomous driving, the Internet of things (IoT), MES, and its importance is increasingly growing in our daily lives. However, these important systems or functions are not widely implemented or utilized in our small and medium-sized manufacturing sites. This is undoubtedly a weakness when compared to global advanced small and medium-sized enterprises. The contents of this book are essential knowledge for all employees of a company related to smart factories, and it provides guidance for successfully establishing and operating a smart factory. Additionally, it offers a path for future entrepreneurs and current manufacturing practitioners and business people to have manufacturing competitiveness in mind. This book is designed to help non-IT professionals easily access and understand the basic programming aspects of smart factories, enabling them to have a convergent mindset as practitioners. It provides ways to approach programming in a user-friendly manner, allowing for a better understanding of the field.
Author: Mike Nager
Publisher:
ISBN: 9781736362549
Category :
Languages : en
Pages :
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Book Description
The most approachable guide to Smart Manufacturing written for laypeople with no background or experience in the industry. How manufacturing has evolved in the United States and how an increased emphasis on domestic manufacturing will result from the COVID19 crisis. This in turn will create career opportunities for those that gain the skills and knowledge needed to operate an Industry 4.0 factory.Chapters detailing specific technologies used to shift the mass production paradigm to one of mass personalization in environmentally friendly factories. These include robotics, augmented and virtual reality, artificial intelligence, MES and ERP software programs, and other Industrial Internet of Things technologies. Job titles, descriptions, and salary ranges are provided. Lists of movies and films that feature the technology are included in each chapter for more relaxed learning.Soft skills are discussed in a chapter as an equally important component for personal success as the hard skills of engineering and software programming.
Author: Jiafu Wan
Publisher: CRC Press
ISBN: 1000999599
Category : Technology & Engineering
Languages : en
Pages : 471
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Book Description
Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.
Author: Ann-Louise Andersen
Publisher: Springer Nature
ISBN: 3030907007
Category : Technology & Engineering
Languages : en
Pages : 1054
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Book Description
This book features state-of-the-art contributions from two well-established conferences: Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2020) and Mass Customization and Personalization Conference (MCPC2020). Together, they focus on the joint design, development, and management of products, production systems, and business for sustainable customization and personalization. The book covers a large range of topics within this domain, ranging from industrial success factors to original contributions within the field.
Author: Masoud Soroush
Publisher: Elsevier
ISBN: 0128203803
Category : Technology & Engineering
Languages : en
Pages : 428
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Book Description
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
Author: Rene Wolf
Publisher: John Wiley & Sons
ISBN: 3527830952
Category : Technology & Engineering
Languages : en
Pages : 116
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Book Description
The world progresses toward Industry 4.0, and manufacturers are challenged to successfully navigate this unique digital journey. To some, digitalization is a golden opportunity; to others, it is a necessary evil. But to optimist and pessimist alike, there is a widespread puzzlement over the practical details of digitalization. To many manufacturers, digital transformation is a vague and confusing concept they nevertheless must grapple with in order to survive the Fourth Industrial Revolution. The proliferation of digital manufacturing technologies adds to the confusion, leaving many manufacturers perplexed and unprepared, with little real insight into how emerging technologies can help them sustain a competitive edge in their markets. This book effectively conveys Siemens's knowledge and experience through a concept called "Smart Digital Manufacturing," a stepwise approach to realizing the promise of the Fourth Industrial Revolution. The Smart Digital Manufacturing roadmap provides guidance and enables low-risk, high-reward adoption of new manufacturing software technologies through a series of tipping-point investment decisions that result in optimized manufacturing performance. The book provides readers with a clear understanding of what digital technology has to offer them, and how and when to invest in these essential components of tomorrow?s factories. René Wolf is Senior Vice President of Manufacturing Operations Management Software for Siemens Digital Industries Software, a business unit of the Siemens Digital Factory Division. Raffaello Lepratti is Vice President of Business Development and Marketing for Siemens Digital Industries Software.
