Industry 4.0 and Cloud Manufacturing: A Comparative Analysis

2016 ◽  
Vol 139 (3) ◽  
Author(s):  
Yongkui Liu ◽  
Xun Xu
Keyword(s):  
Comparative Analysis ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Cloud Manufacturing ◽  
Widespread Application ◽  
Physical Systems ◽  
Service Oriented ◽  
Basic Ideas

Information technologies with their strong penetration can provide effective solutions for addressing the challenges faced by the manufacturing industry. Leveraging information technologies to enhance the competitiveness of the manufacturing industry has become a prominent trend worldwide. In this context, two important concepts for manufacturing—Industry 4.0 and cloud manufacturing—have been proposed. Industry 4.0 refers to the fourth industrial revolution, which is characterized by the widespread application of cyber-physical systems (CPS) in the manufacturing environment. Cloud manufacturing is a new service-oriented business paradigm based on the cloud concept and method. Since their inception, there has been a great deal of attention from both academia and industry. However, to date, they have largely been addressed in isolation. The fact is that, although being proposed from different perspectives and embracing different ideas, they each have some key features that can benefit one another. In order to better understand these two concepts, there is a need to compare them and clarify their relationship. To this end, this paper presents basic ideas of Industry 4.0 and cloud manufacturing, gives a brief overview of their current research, and provides a detailed comparative analysis of them from different perspectives.

Industry 4.0 and Cloud Manufacturing: A Comparative Analysis

2016 ◽  
Author(s):  
Yongkui Liu ◽  
Xun Xu
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Cloud Manufacturing ◽  
The Internet ◽  
New Business ◽  
Service Oriented ◽  
Model Cloud ◽  
The Relationship ◽  
Business Technology

The introduction of the Internet into the manufacturing environment is becoming a prominent trend. In this context, two important concepts concerning manufacturing, i.e. Industry 4.0 and cloud manufacturing have been proposed. Industry 4.0 refers to the fourth industrial revolution and is often understood as the application of Cyber-Physical Systems in industrial production with the help of the Internet to achieve the Internet of Things and the Internet of Services. Meanwhile, the Internet-based new business technology trends, such as cloud, servitization and collaboration, have brought about a novel cloud-based service-oriented manufacturing model — cloud manufacturing. These two concepts, though bearing some similarities, adopt different ideas and approaches for promoting the development of manufacturing industry. Given the great significance of the two concepts to the manufacturing industry, there is a need to understand their similarities and differences. This paper firstly gives a brief up-to-date review of Industry 4.0 and cloud manufacturing, and then clarifies the relationship between them based on the basic concepts and their current research statuses.

scholarly journals An autonomous framework for interpretation of 3D objects geometric data using 2D images for application in additive manufacturing

2021 ◽  
Vol 7 ◽  
pp. e629
Author(s):  
Mohammad reza Rezaei ◽  
Mahmoud Houshmand ◽  
Omid Fatahi Valilai
Keyword(s):  
Neural Network ◽  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cloud Manufacturing ◽  
Training Data ◽  
Two Dimensional ◽  
Complex Objects ◽  
Coordination System ◽  
Service Oriented

Additive manufacturing, artificial intelligence and cloud manufacturing are three pillars of the emerging digitized industrial revolution, considered in industry 4.0. The literature shows that in industry 4.0, intelligent cloud based additive manufacturing plays a crucial role. Considering this, few studies have accomplished an integration of the intelligent additive manufacturing and the service oriented manufacturing paradigms. This is due to the lack of prerequisite frameworks to enable this integration. These frameworks should create an autonomous platform for cloud based service composition for additive manufacturing based on customer demands. One of the most important requirements of customer processing in autonomous manufacturing platforms is the interpretation of the product shape; as a result, accurate and automated shape interpretation plays an important role in this integration. Unfortunately despite this fact, accurate shape interpretation has not been a subject of research studies in the additive manufacturing, except limited studies aiming machine level production process. This paper has proposed a framework to interpret shapes, or their informative two dimensional pictures, automatically by decomposing them into simpler shapes which can be categorized easily based on provided training data. To do this, two algorithms which apply a Recurrent Neural Network and a two dimensional Convolutional Neural Network as decomposition and recognition tools respectively are proposed. These two algorithms are integrated and case studies are designed to demonstrate the capabilities of the proposed platform. The results suggest that considering the complex objects which can be decomposed with planes perpendicular to one axis of Cartesian coordination system and parallel withother two, the decomposition algorithm can even give results using an informative 2D image of the object.

scholarly journals Industry 4.0 and smart manufacturing convergence: profiling guidelines for a fourth revolution

2020 ◽  
Vol 9 (2) ◽  
pp. 464
Author(s):  
John Henry Avila ◽  
Richard De Jesús Gil-Herrera
Keyword(s):  
Industry 4.0 ◽  
Information Technologies ◽  
Industrial Revolution ◽  
Semantic Representation ◽  
Smart Manufacturing ◽  
Global Trends ◽  
Physical Systems ◽  
Service Companies ◽  
Fourth Industrial Revolution ◽  
Connectivity Information

Nowadays, all companies are subject to new global trends related to smart manufacturing, connectivity, information technologies applications, big cloud-based data analysis, Cyber-Physical Systems, among others. These factors generate changes in the supply chain of manufacturing and service companies. According to literature reviewing, the applicable central model of the new trends, which allows these companies to face these changes, has been in continues movement. To understand the behavior of these trends, a documentary review related to Industry 4.0 and Smart Manufacturing as trends that outline the fourth industrial revolution, is facing through this work. As result of this review, the authors to develop holistically a semantic representation of the main terms of descriptive figures and graphs, some components and terminology related to Industry 4.0 and Smart Manufacturing. As main conclusion, this reached integrated view, aimed to establish a semantic guideline of the fourth industrial revolution that may be also applicable to the enterprise no matter its size.  

scholarly journals Effects of Industry 4.0 on the Labor Markets of Iran and Japan

Economies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 39 ◽  
Author(s):  
Majid Ziaei Nafchi ◽  
Hana Mohelská
Keyword(s):  
Labor Markets ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Developed Countries ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Science Technology ◽  
Levels Of Automation ◽  
Technology And Economy ◽  
The Impact

Industry 4.0 is the essence of the fourth Industrial revolution and is happening right now in manufacturing by using cyber-physical systems (CPS) to reach high levels of automation. Industry 4.0 is especially beneficial in highly developed countries in terms of competitive advantage, but causes unemployment because of high levels of automation. The aim of this paper is to find out if the impact of adopting Industry 4.0 on the labor markets of Iran and Japan would be the same, and to make analysis to find out whether this change is possible for Iran and Japan with their current infrastructures, economy, and policies. With the present situation of Iran in science, technology, and economy, it will be years before Iran could, or better say should, implement Industry 4.0. Japan is able to adopt Industry 4.0 much earlier than Iran and with less challenges ahead; this does not mean that the Japanese labor market would not be affected by this change but it means that those effects would not cause as many difficulties as they would for Iran.

scholarly journals How connectivity and search for producers impact production in Industry 4.0 networks

2018 ◽  
Vol 15 (4) ◽  
pp. 528-534
Author(s):  
Adriano Pereira ◽  
Eugênio De Oliveira Simonetto ◽  
Goran Putnik ◽  
Helio Cristiano Gomes Alves de Castro
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cyber Physical Systems ◽  
Average Degree ◽  
Collaborative Networks ◽  
Production Network ◽  
Simulation Environment ◽  
Physical Systems ◽  
Study Results ◽  
The Internet Of Things

Technological evolutions lead to changes in production processes; the Fourth Industrial Revolution has been called Industry 4.0, as it integrates Cyber-Physical Systems and the Internet of Things into supply chains. Large complex networks are the core structure of Industry 4.0: any node in a network can demand a task, which can be answered by one node or a set of them, collaboratively, when they are connected. In this paper, the aim is to verify how (i) network's connectivity (average degree) and (ii) the number of levels covered in nodes search impacts the total of production tasks completely performed in the network. To achieve the goal of this paper, two hypotheses were formulated and tested in a computer simulation environment developed based on a modeling and simulation study. Results showed that the higher the network's average degree is (their nodes are more connected), the greater are the number of tasks performed; in addition, generally, the greater are the levels defined in the search for nodes, the more tasks are completely executed. This paper's main limitations are related to the simulation process, which led to a simplification of production process. The results found can be applied in several Industry 4.0 networks, such as additive manufacturing and collaborative networks, and this paper is original due to the use of simulation to test this kind of hypotheses in an Industry 4.0 production network.

scholarly journals Maturity Level of Kosovo Manufacturing Industry with regard to Industry 4.0

2018 ◽  
Vol 6 (3) ◽  
pp. 1-8
Author(s):  
Fatmir Azemi ◽  
Edmond Hajrizi ◽  
Bekim Maloku
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Chief Executive ◽  
Business Environment ◽  
Average Score ◽  
Furniture Industry ◽  
Manufacturing Companies ◽  
Maturity Level ◽  
Unskilled Workers

In this paper the concept of Maturity Level of Kosovo Industry will be presented according to the Industry 4.0. Digitalization of factory has impact the entire business environment and lead to Smart Enterprises. To create a model of Smart Factory, first we have analyzed the existing situation of Kosovo Manufacturing Industry with regard to revolution of Industry. In this paper we will describe the results of a recent research at the Kosovo manufacturing companies and are included metalworking and furniture industry, where is developed a Maturity Level for Kosovo Industry. To describe the Maturity Level of Kosovo Industry we have delivered questionnaire and have been done interviews with CEOs (Chief Executive Officer). The average score of Industrial Maturity Level for Kosovo Industry is 2.14 which represent 2nd Industrial Revolution, but some of enterprises belong to 3rd Industrial Revolution. Also, the main barriers of this low level of Maturity Level of Kosovo Industry are highlights based on questionnaire and interviews with CEOs, such as: lack of training programs, language barriers, high cost of purchasing/maintenance of technology, unskilled workers, and est.

Cloud-Based Intelligent User Interface for Cloud Manufacturing: Model, Technology, and Application

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Lei Ren ◽  
Jin Cui ◽  
Ni Li ◽  
Qiong Wu ◽  
Cuixia Ma ◽  
...  
Keyword(s):  
User Interface ◽  
Manufacturing Industry ◽  
Multimodal Interaction ◽  
Cloud Manufacturing ◽  
Domain Specific ◽  
Intelligent User Interface ◽  
Usability Problems ◽  
Key Characteristics ◽  
Industry Practice ◽  
Service Oriented

Cloud manufacturing is gradually transforming the way enterprises do business from traditional production-oriented manufacturing to service-oriented manufacturing. The development of cloud manufacturing in industry practice is closely related to domain-specific user experience. The huge amount of users with diverse roles and various requirements in manufacturing industry are facing great challenges of cloud system usability problems. Thus, user interface issues play a significant role in pushing this new area forward. In this paper, we discuss the key characteristics of intelligent user interface (IUI) for cloud manufacturing, i.e., naturality, smart mobility, self-configuration, and flexible customization. Further, a cloud-plus-IUI model for cloud end-users is presented. Then we discuss the enabling technologies, i.e., automatic configuration based on virtualization, context-aware adaption and recommendation, and multimodal interaction. Finally, we present SketchPart, a sketch-based pad system prototype for searching part drawings in the cloud, to show the advantages of the proposed cloud-plus-IUI solution.

Challenges and prospects for the Vietnam’s manufacturing industry development in the context of industry 4.0

2020 ◽  
Vol 26 (9) ◽  
pp. 84-92
Author(s):  
Lo Thi Hong Van ◽  
◽  
L. Guzikova ◽  
Keyword(s):  
Developing Countries ◽  
Industry 4.0 ◽  
Industrial Development ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises ◽  
Fourth Industrial Revolution ◽  
Leading Role ◽  
The One

The purpose of the study is to identify the challenges, prospects and ways for the development of the manufacturing industry in Vietnam in the context of Industry 4.0, after COVID-19. The article examines the development of the manufacturing industry in the context of Industry 4.0. The research methodology includes comparative analysis, elements of positive and normative analysis. The study is based on statistical information available within the period of writing the article (till October 1, 2020). The data of Vietnamese and international research organizations and statistics bodies, in particular, the websites of World Bank and General Statistics Office of were used. The leading role of the manufacturing industry in achieving sustainable economic development in developing countries, including Vietnam, was determined. Based on an assessment of the levels of development of the manufacturing industry in Vietnam from 2011 to 2019 and the state of production of the main manufacturing industries under the influence of the coronavirus pandemic in 2020, urgent problems of the development of the manufacturing industry in the context of Industry 4.0 in Vietnam were identified. The coronavirus pandemic, on the one hand, is seen as the reason for the slowdown in production growth in the manufacturing industry, and on the other hand, as a condition for accelerating digital transformation in industrial manufacturing enterprises. The article identifies the main challenges and prospects for the development of the manufacturing industry in Vietnam in the fourth industrial revolution. The human resource challenge for the development of manufacturing in the context of the fourth industrial revolution was identified in some specific industries such as textiles, food processing, machinery and equipment manufacturing by analyzing the Report of 2019 about Industry 4.0 Readiness of Vietnam’s industrial enterprises. The main priority areas for improving the production of the manufacturing industry in Vietnam to achieve sustainable industrial development are presented. The results of the work can be used in the development of policies for the development of the manufacturing industry not only in Vietnam, but also in other developing countries

Industry 4.0 and the Internet of Things (IoT)

2020 ◽  
pp. 1-24
Author(s):  
Zelal Gültekin Kutlu
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Industrial Revolution ◽  
The Internet ◽  
Automation Systems ◽  
Technological Developments ◽  
Use Of The Internet ◽  
Internet Networks ◽  
The Internet Of Things

In this study, the periodical differences of industrial revolutions, which is one of the effects of technological developments in the industrial field, and the last stage of it are mentioned. With the latest industrial revolution called Industry 4.0, machines work in harmony with technology at every stage of industrial areas. This period, known as Industry 4.0 or the fourth industrial revolution, refers to the system in which the latest production technologies, automation systems, and the technologies that make up this system exchange data with each other. In addition to the information technologies and automation systems used in Industry 3.0, industrial production has gained a whole new dimension with the use of the internet. With internet networks, machines, operators, and robots now work in harmony. At this point, the concept of internet of objects becomes important. Therefore, another focus of the study is the concept of internet of objects. There are some assumptions about the uses, benefits, and future status of the internet of things.

Industrial Maintenance Entering the Industry 4.0 Era

2021 ◽  
pp. 229-250
Author(s):  
Pedro Fernandes Anunciação ◽  
Vitor Manuel Lemos Dinis ◽  
Francisco Madeira Esteves
Keyword(s):  
Asset Management ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Industrial Revolution ◽  
Response Times ◽  
Production Lines ◽  
Fourth Industrial Revolution ◽  
Industrial Companies ◽  
Management Condition ◽  
Industrial Maintenance

Industry 4.0 marks the beginning of the so-called fourth industrial revolution. The new emerging information technologies, such as internet of things, cloud computing, machine learning, artificial intelligence, among others, have challenged the management and organization of industrial companies. They have now shorter market response times, higher quality requirements, and customization needs, which challenges many industrial areas from production to maintenance, from design to asset management. The maintenance and asset management condition and the reliability of production lines are closely linked and constitute key areas of good industrial operation. This work seeks to present a roadmap proposal for the management of industrial assets from maintenance management. In addition, it seeks to identify the key elements for a roadmap design and proposes a set of management questions to assess maintenance maturity.

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