scholarly journals Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 109 ◽  
Author(s):  
Angelos Angelopoulos ◽  
Emmanouel T. Michailidis ◽  
Nikolaos Nomikos ◽  
Panagiotis Trakadas ◽  
Antonis Hatziefremidis ◽  
...  

The recent advancements in the fields of artificial intelligence (AI) and machine learning (ML) have affected several research fields, leading to improvements that could not have been possible with conventional optimization techniques. Among the sectors where AI/ML enables a plethora of opportunities, industrial manufacturing can expect significant gains from the increased process automation. At the same time, the introduction of the Industrial Internet of Things (IIoT), providing improved wireless connectivity for real-time manufacturing data collection and processing, has resulted in the culmination of the fourth industrial revolution, also known as Industry 4.0. In this survey, we focus on the vital processes of fault detection, prediction and prevention in Industry 4.0 and present recent developments in ML-based solutions. We start by examining various proposed cloud/fog/edge architectures, highlighting their importance for acquiring manufacturing data in order to train the ML algorithms. In addition, as faults might also occur from sources beyond machine degradation, the potential of ML in safeguarding cyber-security is thoroughly discussed. Moreover, a major concern in the Industry 4.0 ecosystem is the role of human operators and workers. Towards this end, a detailed overview of ML-based human–machine interaction techniques is provided, allowing humans to be in-the-loop of the manufacturing processes in a symbiotic manner with minimal errors. Finally, open issues in these relevant fields are given, stimulating further research.

Author(s):  
Gülay Tamer ◽  
Binnur Gurul

During this fourth industrial revolution, the fundamental purpose of industrial transformations is to carry competitive edge of the companies to an upper level by increasing efficiency and effectiveness of sources and decreasing the operational costs. Therefore, the companies need to invest in the right project in the right time in order to provide a competitive edge against their competitors and to gain a desired level of profit. The aim of the project cost analysis is, in the simplest terms, to calculate optimal project costs and to consider if there is any difference between the planned budget and the optimal cost; and in case of a difference, to take necessary actions. The purpose of this chapter is, as a result of principles and conceptual framework of Industry 4.0, to describe how adaptive robotics, artificial intelligence, big data, augmented reality, additive manufacturing, internet of things, cloud computing and cyber security technologies, which are building blocks of Industry 4.0, changed the project cost analysis.


Author(s):  
Mustafa Atilla Arıcıoğlu ◽  
Büşra Yiğitol

It is envisioned that the fourth industrial revolution contains many concepts such as modern automation and production systems, data collection, data processing, analysis, and data transfer and consists of intelligent factory applications such as augmented reality, the internet of things, cyber physical, and cyber security systems. It reveals the fact that a new era awaits enterprises in the relationship between technology and production due to these predictions for future changes. SMEs are one of the important segments that these triggers, which are the precursors of structural change, will affect. So how will SMEs experience the Industry 4.0 process? What do unmanned factories mean for SMEs? Which countries/SMEs will have the Industry 4.0 technology and Industry 4.0 infrastructure which require high capital, Which of them will create opportunities? In this chapter, the problems that SMEs will face in the digital transformation process and the political and strategic approaches that can be developed to deal with these problems will be evaluated.


Author(s):  
Mustafa Atilla Arıcıoğlu ◽  
Büşra Yiğitol

It is envisioned that the fourth industrial revolution contains many concepts such as modern automation and production systems, data collection, data processing, analysis, and data transfer and consists of intelligent factory applications such as augmented reality, the internet of things, cyber physical, and cyber security systems. It reveals the fact that a new era awaits enterprises in the relationship between technology and production due to these predictions for future changes. SMEs are one of the important segments that these triggers, which are the precursors of structural change, will affect. So how will SMEs experience the Industry 4.0 process? What do unmanned factories mean for SMEs? Which countries/SMEs will have the Industry 4.0 technology and Industry 4.0 infrastructure which require high capital, Which of them will create opportunities? In this chapter, the problems that SMEs will face in the digital transformation process and the political and strategic approaches that can be developed to deal with these problems will be evaluated.


2020 ◽  
Vol 17 (8) ◽  
pp. 903-915
Author(s):  
Shahryar SOROOSHIAN ◽  
Shrikant PANIGRAHI

The leap of technology has led to a paradigm shift called the “industrial revolution”. Industry 4.0 is the fourth industrial revolution which implemented the philosophy of cyber-physical systems, internet and future-oriented technologies, and smart systems with promoted human-machine interaction paradigms. The emergence of Industry 4.0 was introduced to the world as a new trend to improve working surroundings in industries and solve the problems faced by the industries. There is a limited information about Industry 4.0 and not every person understands the real meaning of Industry 4.0. Thus, the objective of this review paper is to identify the possible impacts of Industry 4.0 on manufacturing industries which will encourage more organizations to adopt Industry 4.0.


2019 ◽  
Vol 2 (1) ◽  
pp. 67-79 ◽  
Author(s):  
Umar Al Faruqi

With the rapid development of technology in the digitalization era, Industry 4.0 became a terminology that became a reference for research and development in the field of technology in various sectors. This continues to trigger all people to develop technology to enable better utilization in facilitating human life. Society 5.0 is an idea that explains the revolution in people's lives with the development of the fourth industrial revolution. The concept that wants to be presented is how there is a revolution in society that both utilizing technology and also considering humanities aspects. Some sectors of work and needs are beginning to enter digitalization that utilizes Artificial Intelligence, Big Data, Robotics, Automation, Machine Learning, and the Internet of Things.


2021 ◽  
pp. 097226292199682
Author(s):  
Ritika Gupta

Digitalization and intelligization is the need of the hour in today’s world. The manufacturing industry is, in fact, moving towards the fourth-generation industry, which we termed as Industry 4.0 or the Fourth Industrial revolution, which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer requirements. Industry 4.0 is all about talking in terms of big data, technology, cyber security, the Internet of Things (IoT) and so on. This study is done to understand the new emerging technology in data exchange and automation, popularly known as Industry 4.0, in terms of banking sector with context to the Indian banking sector. The study focuses on studying banks in a digitalized word and what are the challenges that banks face. How banks cope up with digitalization, keeping customers at priority. This study centred on incorporating articles published in recent years to establish knowledge on the topic and to further identify areas for future research.


Author(s):  
João Barata ◽  
Francisco Silva ◽  
Marisa Almeida

Industry 4.0 presents new challenges for traditional sectors of the economy, for example, the production of ceramic products. This chapter reveals how traditional ceramic industries can (1) assess, (2) plan, and (3) execute Industry 4.0 adoption. The findings are based on the Portuguese ceramic sector. Three interrelated dimensions of the fourth industrial revolution are studied, namely, (1) digital ecosystems, (2) security and safety, and (3) digital sustainability. Industry 4.0 is not restricted to high-tech products and cannot be addressed by one-size-fits-all solutions. Moreover, it requires cooperation within business ecosystems. The authors propose a model for Ceramic Industry 4.0 and accessible guidelines for managers involved in global supply chains. This chapter suggests emergent research opportunities for (1) sectorial maturity models, (2) data quality and regulatory compliance, (3) cyber-security and risk management, and (4) an integrated vision of sustainability in the digital era.


Author(s):  
João Barata ◽  
Francisco Silva ◽  
Marisa Almeida

Industry 4.0 presents new challenges for traditional sectors of the economy, for example, the production of ceramic products. This chapter reveals how traditional ceramic industries can (1) assess, (2) plan, and (3) execute Industry 4.0 adoption. The findings are based on the Portuguese ceramic sector. Three interrelated dimensions of the fourth industrial revolution are studied, namely, (1) digital ecosystems, (2) security and safety, and (3) digital sustainability. Industry 4.0 is not restricted to high-tech products and cannot be addressed by one-size-fits-all solutions. Moreover, it requires cooperation within business ecosystems. The authors propose a model for Ceramic Industry 4.0 and accessible guidelines for managers involved in global supply chains. This chapter suggests emergent research opportunities for (1) sectorial maturity models, (2) data quality and regulatory compliance, (3) cyber-security and risk management, and (4) an integrated vision of sustainability in the digital era.


Author(s):  
Gilberto Marzano ◽  
Andris Martinovs

Industry 4.0 is a term that was introduced by the German government at the time of the Hannover Fair in 2011 in relation to an initiative brought forward to support German industry in addressing future challenges. It refers to the 4th industrial revolution, in which disruptive digital technologies, such as the Internet of Things (IoT), robotics, virtual reality (VR), and artificial intelligence (AI), are exercising a notable impact on industrial production.Industry 4.0 takes the emphasis on digital technology of recent decades to a whole new level with the help of interconnectivity through the Internet of Things (IoT), real-time data access, and the introduction of cyber-physical systems.This paper focuses on the design of an educational module for higher education mechatronics students. Introducing Industry 4.0 into a mechatronics curriculum will reinforce the integration of student competences in flexible and rapid manufacturing. The module includes notions of machine learning and deep machine learning, which are essential in robotics and behavioral robotics and closely interact with control theory. The results of a pilot training activity in the field are also illustrated and discussed. 


Sign in / Sign up

Export Citation Format

Share Document