scholarly journals Industry 4.0 Roadmap: Implementation for Small and Medium-Sized Enterprises

2020 ◽  
Vol 10 (23) ◽  
pp. 8566
Author(s):  
Alberto Cotrino ◽  
Miguel A. Sebastián ◽  
Cristina González-Gaya
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Recent Literature ◽  
Low Cost ◽  
The Internet ◽  
Business Structures ◽  
The Right ◽  
The Internet Of Things

The Industry 4.0 era has resulted in several opportunities and challenges for the manufacturing industry and for small and medium-sized enterprises (SME); technologies such as the Internet of Things (IoT), Virtual Reality (VR) or Cloud Computing are changing business structures in profound ways. A literature review shows that most large-sized enterprises have rolled out investment plans, some of which are reviewed during this research and show that Industry 4.0 investments in such companies exceed the turnover of SMEs in all cases (<€50 million), which makes access to those technologies by SMEs very difficult. The research has also identified two gaps: firstly, the recent literature review fails to address the implementation of Industry 4.0 technologies in SMEs from a practical viewpoint; secondly, the few existing roadmaps for the implementation of Industry 4.0 lack a focus on SMEs. Furthermore, SMEs do not have the resources to select suitable technologies or create the right strategy, and they do not have the means to be fully supported by consultancies. To this end, a simple six-step roadmap is proposed that includes real implementations of Industry 4.0 in SMEs. Our results show that implementing Industry 4.0 solutions following the proposed roadmap helps SMEs to select appropriate technologies. In addition, the practical examples shown across this work demonstrate that SMEs can access several Industry 4.0 technologies with low-cost investments.

How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts

2021 ◽  
Vol 13 (4) ◽  
pp. 64-74
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Semantic Web ◽  
Industry 4.0 ◽  
The Internet ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Real Time Data ◽  
The Internet Of Things

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.

The Role of Edge/Fog Computing Security in IoT and Industry 4.0 Infrastructures

2021 ◽  
pp. 211-222
Author(s):  
Meltem Mutluturk ◽  
Burcu Kor ◽  
Bilgin Metin
Keyword(s):  
Cloud Computing ◽  
Information And Communication Technologies ◽  
Industry 4.0 ◽  
Fog Computing ◽  
Communication Technologies ◽  
The Internet ◽  
Current State ◽  
Information And Communication ◽  
The Internet Of Things

The development of information and communication technologies (ICT) has led to many innovative technologies. The integration of technologies such as the internet of things (IoT), cloud computing, and machine learning concepts have given rise to Industry 4.0. Fog and edge computing have stepped in to fill the areas where cloud computing is inadequate to ensure these systems work quickly and efficiently. The number of connected devices has brought about cybersecurity issues. This study reviewed the current literature regarding edge/fog-based cybersecurity in IoT to display the current state.

scholarly journals Smart Hybrid Manufacturing Control Using Cloud Computing and the Internet-of-Things

Machines ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 62 ◽  
Author(s):  
Jonnro Erasmus ◽  
Paul Grefen ◽  
Irene Vanderfeesten ◽  
Konstantinos Traganos
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Smart Devices ◽  
The Internet ◽  
Hybrid Manufacturing ◽  
Architecture Design ◽  
Reference Architecture ◽  
The Internet Of Things

Industry 4.0 is expected to deliver significant gains in productivity by assimilating several technological advancements including cloud computing, the Internet-of-Things, and smart devices. However, it is unclear how these technologies should be leveraged together to deliver the promised benefits. We present the architecture design of an information system that integrates these technologies to support hybrid manufacturing processes, i.e., processes in which human and robotic workers collaborate. We show how well-structured architecture design is the basis for a modular, complex cyber-physical system that provides horizontal, cross-functional manufacturing process management and vertical control of heterogenous work cells. The modular nature allows the extensible cloud support enhancing its accessibility to small and medium enterprises. The information system is designed as part of the HORSE Project: a five-year research and innovation project aimed at making recent technological advancements more accessible to small and medium manufacturing enterprises. The project consortium includes 10 factories to represent the typical problems encountered on the factory floor and provide real-world environments to test and evaluate the developed information system. The resulting information system architecture model is proposed as a reference architecture for a manufacturing operations management system for Industry 4.0. As a reference architecture, it serves two purposes: (1) it frames the scientific inquiry and advancement of information systems for Industry 4.0 and (2) it can be used as a template to develop commercial-grade manufacturing applications for Industry 4.0.

scholarly journals IoT Puts a New Spin on Bearings

2018 ◽  
Vol 140 (07) ◽  
pp. 42-47 ◽  
Author(s):  
Alan S. Brown
Keyword(s):  
Digital Technology ◽  
Industry 4.0 ◽  
Data Analytics ◽  
Low Cost ◽  
Big Data Analytics ◽  
The Internet ◽  
Manufacturing Companies ◽  
Bearing Life ◽  
Mechanical Devices ◽  
The Internet Of Things

As anyone who ever had a bearing fail knows, durability counts. However some bearing makers believe that predictability is more important than longer bearing life. By harnessing the Internet of Things (IoT) and other Industry 4.0 technologies—low-cost sensors, Big Data analytics, and machine learning—manufacturing companies want to catapult one of the world’s oldest mechanical devices into the digital future. In fact, bearings are emerging as a poster child for Industry 4.0. Yet this heady mixture of digital technology and physical products is also disrupting how companies monitor, operate, and service rotating equipment; the way they sell and service products; and who they partner with and compete against. This article delves into how bearing makers are embracing this disruption.

scholarly journals Impact of IoT on Manufacturing Industry 4.0: A New Triangular Systematic Review

2021 ◽  
Vol 13 (22) ◽  
pp. 12506
Author(s):  
Tahera Kalsoom ◽  
Shehzad Ahmed ◽  
Piyya Muhammad Rafi-ul-Shan ◽  
Muhammad Azmat ◽  
Pervaiz Akhtar ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Empirical Studies ◽  
Future Research ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
Iot Applications ◽  
Research Domains ◽  
The Internet Of Things

The Internet of Things (IoT) has realised the fourth industrial revolution concept; however, its applications in the manufacturing industry are relatively sparse and primarily investigated without contextual peculiarities. Our research undertakes an intricate critical review to investigate significant aspects of IoT applications in the manufacturing Industry 4.0 perspective to address this gap. We adopt a systematic literature review approach by Denyer and Tranfield (2009) to carry out critical analyses that help develop future research domains based on empirical studies. We describe key knowledge gaps in the existing literature and empirical studies by exploring the main contribution categories and finding six critical differences between traditional and manufacturing Industry 4.0 and 10 enablers and 11 challenges of IoT applications. Finally, an agenda for future research is proposed with 11 research domains to focus on the recognised gaps.

scholarly journals Computational Intelligence in the Context of Industry 4.0

2021 ◽  
pp. 27-94
Author(s):  
Alexander Hošovský ◽  
Ján Piteľ ◽  
Monika Trojanová ◽  
Kamil Židek
Keyword(s):  
Neural Networks ◽  
Cloud Computing ◽  
Computational Intelligence ◽  
Industry 4.0 ◽  
Typical Feature ◽  
Theory And Practice ◽  
The Internet ◽  
Transmission Of Information ◽  
The Internet Of Things

AbstractIndustry 4.0 is affecting almost every area of the industry, and as a result of its effects, systems, technologies, and the way information is processed are being transformed. Its typical feature is transmission of information in the system environment provided by the Internet of Things. All information should be stored and shared through cloud computing. As a result, access to information should be unrestricted. This chapter is focused on Computational Intelligence (CI) in the context of Industry 4.0. Each subchapter provides fundamentals of some paradigms, followed by the use of CI in the concrete paradigm. The ending part of the chapter is focused on connecting theory and practice in a case study, which lists industrial parts recognition by convolutional neural networks for assisted assembly.

scholarly journals Modern technologies in Industry 4.0 – cyber-physical systems

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Anna Smyshlyaeva ◽  
Kseniya Reznikova ◽  
Denis Savchenko
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
Level Data ◽  
The Internet Of Things ◽  
Modern Technologies

With the advent of the Industry 4.0 concept, the approach to production automation has fundamentally changed. The manufacturing industry is based on such modern technologies as the Internet of Things, Big Data, cloud computing, artificial intelligence and cyber-physical systems. These technologies have proven themselves not only in industry, but also in various other branches of life. In this paper, the authors consider the concept of cyber-physical systems – systems based on the interaction of physical processes with computational ones. The article presents a conceptual model of cyber-physical systems that displays its elements and their interaction. In cyber-physical systems, it represents five levels: physical, network, data storage, processing and analytics level, application level. Cyber-physical systems carry out their work using a basic set of technologies: the Internet of things, big data and cloud computing. Additional technologies are used depending on the purpose of the system. At the physical level, data is collected from physical devices. With the help of the Internet of Things at the network level, data is transferred to a data warehouse for further processing or processed almost immediately thanks to cloud computing. The amount of data in cyber-physical systems is enormous, so it is necessary to use big data technology and effective methods for processing and analyzing this data. The main feature of this technological complex is real-time operation. Despite the improvement in the quality of production and human life, cyber-physical systems have a number of disadvantages. The authors highlight the main problems of cyber-physical systems and promising areas of research for their development. Having solved the listed problems, cyber-physical systems will reach a qualitatively new level of utility. The paper also provides examples of the implementation of concepts such as a smart city, smart grid, smart manufacturing, smart house. These concepts are based on the principle of cyber-physical systems.

scholarly journals Smart Care Business Uses the Internet of Things

2021 ◽  
Vol 2 (3) ◽  
pp. 01-17
Author(s):  
Ahmad Khalaf Alkhawaldeh
Keyword(s):  
Body Temperature ◽  
Human Heart ◽  
Continuous Monitoring ◽  
Low Cost ◽  
Smartphone Application ◽  
Temperature Data ◽  
The Internet ◽  
The Right ◽  
The Internet Of Things

It is important to increase the quality of health and medicine. A wearable system for continuous monitoring of the patient is important to overcome this issue. Thus, a patient with Arrhythmia due to its low cost and success in saving the life of the patient was the right option for the care partner. In addition, the device will provide a consumer with a smart smartphone application with accurate pulse beat and body temperature data in real-time. MAX 30100 and LM35 are primarily used for the detection of human heart and temperature. An arrhythmia algorithm in the esp32 segment generates the performance of these sensors.

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