Industry 4.0: The Industrial Internet of Things

Published on Jun 28, 2016
Alasdair Gilchrist3
Estimated H-index: 3
Explore the current state of the production, processing, and manufacturing industries and discover what it will take to achieve re-industrialization of the former industrial powerhouses that can counterbalance the benefits of cheap labor providers dominating the industrial sector. This book explores the potential for the Internet of Things (IoT), Big Data, Cyber-Physical Systems (CPS), and Smart Factory technologies to replace the still largely mechanical, people-based systems of offshore locations.Industry 4.0: The Industrial Internet of Things covers Industry 4.0, a term that encapsulates trends and technologies that could rewrite the rules of manufacturing and production.What You'll Learn:What are the Industrial Internet and Industrial Internet of ThingsWhich technologies must advance to enable Industry 4.0What is happening today to make that happenWhat are examples of the implementation of Industry 4.0How to apply some of these case studiesWhat is the potential to take back the lead in manufacturing, and the potential fallout that could resultWho This Book is For: Business futurists, business strategists, CEOs and CTOs, and anyone with an interest and an IT or business background; or anyone who may have a keen interest in how the future of IT, industry and production will develop over the next two decades.
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#1Jan-M. Brandt (Wellington Management Company)
#2Márton Benedek (BME: Budapest University of Technology and Economics)
Last. Jörg Fliege (University of Southampton)H-Index: 15
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Abstract Industrial Analytics are an essential part of Internet of Things applications that increase the reliability of drive train components, e.g., bearings, thus reducing operational and maintenance costs. The use of industrial analytics is introduced as a proactive solution to allow the reliability assessment of drive train components, especially the risk of bearing failure before measurable damage can occur; a key player in bearing service life is the utilized lubricant. This presented reli...
#1David J. Wagg (University of Sheffield)H-Index: 30
#2Keith Worden (University of Sheffield)H-Index: 53
Last. Paul Gardner (University of Sheffield)H-Index: 2
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This paper presents a review of the state-of-the-art for digital twins in the application domain of engineering dynamics. The focus on applications in dynamics, is because: (i) they offer some of the most challenging aspects of creating an effective digital twin, and (ii) they are relevant to important industrial applications such as energy generation and transport systems. The history of the digital twin is discussed first, along with a review of the associated literature; the process of synthe...
#1Ziang Feng (VT: Virginia Tech)
#2Shuo Yang (VT: Virginia Tech)
Last. Thomas L. Martin (VT: Virginia Tech)H-Index: 23
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Abstract In the era of the internet of things (IoTs), it is desired to equip the decentralized electronics with distributed power sources. The fiber-based triboelectric nanogenerator (FTENG) provides one of the soundest solutions due to its high efficiency, easy deployment, excellent wearability, low cost, and eco-friendliness. Compared with other forms of TENGs, it can be woven into fabrics as wearable devices, offering good compactness and comfortability. However, the industrial-loom-compatibl...
#2Kerem KucukH-Index: 6
Last. Sajjad Ahmad KhanH-Index: 2
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Gunumuzde, bulut teknolojileri endustriyel alanlarda kullanilan cihaz ve makinelerden toplanan verilerin gercek zamanli olarak takip edilmesinde onemli cozumler sunmaktadirlar. Sahada elde edilen verilerin bulut platformlarina aktarilabilmesi icin farkli turden ag gecitlerinden yararlanilmaktadir. Bu calismada endustriyel alanlarda kullanilabilecek dusuk guc tuketimine sahip, dusuk maliyetli nesnelerin interneti (Internet of Things, IoT) temelli bir ag gecidi prototipi tasarimi sunulmaktadir. Bu...
#1Xingbin Jiang (SUTD: Singapore University of Technology and Design)H-Index: 1
#2Michele Lora (SUTD: Singapore University of Technology and Design)H-Index: 1
Last. Sudipta Chattopadhyay (SUTD: Singapore University of Technology and Design)H-Index: 14
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1 CitationsSource
#1Thomas Østerlie (NTNU: Norwegian University of Science and Technology)H-Index: 7
#2Eric Monteiro (NTNU: Norwegian University of Science and Technology)H-Index: 22
The versatility of digital technologies relies on a capacity to represent and subsequently manipulate algorithmically selected physical processes, objects or qualities in a domain. Organizationally real digital representations are those that, beyond the mere capacity to, actually get woven into everyday work practices. Empirically, we draw on a four-year case study of offshore oil and gas production. Our case provides a vivid illustration of Internet of Things (IoT) based visualizations and data...
#1Alvaro Talavera (University of the Pacific (Peru))H-Index: 2
#2Ana Luna (University of the Pacific (Peru))H-Index: 3
In this work, we integrate computational techniques based on machine learning (ML) and computational intelligence (CI) to conventional methodologies used in the Operational Research (OR) degree course for Engineers. That synergy between those techniques and methods allows students to deal with decision-making complex problems. The primary goals of this research work are to present potential interactions between the two computational fields and show some examples of them. This is a contribution t...
#1Shabir Ahmad (Jeju National University)H-Index: 6
#2Do-Hyeun Kim (Jeju National University)H-Index: 12
Abstract Enterprise Internet of Things (EIoT) is the next advancement in technology. EIoT allows the involvement of embedded devices to participate in business processes to automate enterprise operations. EIoT demands the modelling of services based on tasks to automate business processes and to allow easy adaptation to new business models. It is anticipated to enhance efficiency, align physical operations on a real-time basis and provide analytics for fostering more customer-centric business. T...
Abstract The fourth industrial revolution and the underlying digital transformation, known as Industry 4.0, is progressing exponentially. The digital revolution is reshaping the way individuals live and work fundamentally, and the public remains optimistic regarding the opportunities Industry 4.0 may offer for sustainability. The present study contributes to the sustainability literature by systematically identifying the sustainability functions of Industry 4.0. In doing so, the study first revi...
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