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.

Cloud Manufacturing: An Industry Survey

2016 ◽  
Author(s):  
Tiegang Zang ◽  
Yongkui Liu ◽  
Xun Xu
Keyword(s):  
Resource Sharing ◽  
Manufacturing Industry ◽  
Green Manufacturing ◽  
Cloud Manufacturing ◽  
Industrial Enterprises ◽  
The Status ◽  
Service Oriented ◽  
Model Cloud ◽  
Business Technology ◽  
Technology Trends

The emerging business technology trends such as cloud, Internet of Things, and the new requirements and challenges of future development of manufacturing industry such as green manufacturing and knowledge innovations, have together given rise to a novel cloud-based service-oriented manufacturing business model — cloud manufacturing. Since its inception, cloud manufacturing has attracted much attention of researchers from both academia and industry. As a nascent concept aiming to achieve comprehensive and full resource sharing and e-business collaboration, the success of cloud manufacturing depends heavily on the support and participation of industrial enterprises. However, so far there have been few reports on the status of cloud manufacturing among industrial enterprises. In order to understand the situation of cloud manufacturing in industry, we conducted a survey with respect to its acceptability and application prospect among enterprises located in Jiangsu province, China. This paper presents the results of the survey and some analysis.

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.

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 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 Lecturers and E-lecturers in cross-border education in the context of the fourth industrial revolution

2020 ◽  
Vol 9 (1) ◽  
pp. 3-10
Author(s):  
Nguyen Duc Son
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Traditional Education ◽  
Cross Border ◽  
Quality Of Teaching ◽  
Learning Programs ◽  
E Learning ◽  
Education Culture ◽  
The Relationship

Nowadays, globalization has given birth to various forms of non-traditional education. These forms of education are transcending borders and traversing boundaries of space and time. The evolution of information technology in the context of Industry 4.0 has transformed education rapidly and, at the same time, resulted in new problems. This paper discusses the role, the importance and the relationship between lecturers (in universities) and e-lecturers (in the virtual reality environment) when implementing cross-border education. In addition, the article also mentions the changes of universities, lecturers, curriculums and teaching methods when deploying distance e-learning programs in Industry 4.0. The article uses conceptual model, diagrams and interdisciplinary methods such as education, culture, science and technology to investigate e-lecturers’ concept and provide solutions for improving the capacity of lecturers and the quality of teaching cross-border training programs in universities.

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.

scholarly journals Integration of Pedagogical and Production Factors in the Process of the Formation of Industry 4.0

TEM Journal ◽  
2021 ◽  
pp. 1964-1970
Author(s):  
Nikolay Chapaev ◽  
Olga Akimova ◽  
Yevgeniy Dorozhkin ◽  
Andrey Efanov ◽  
Ekaterina Bychkova
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Student Assessment ◽  
Teacher Assessment ◽  
Educational Process ◽  
Production Factors ◽  
Ancient Times ◽  
Relationship Of ◽  
The Relationship

The rapid development of Industry 4.0 as a result of the Fourth Industrial Revolution brings back the relationship of pedagogy and production to mutual integration that has been their characteristic since ancient times. The study revealed high digital readiness of students (4.24 according to the student assessment and 2.82 according to the teacher assessment on a 5- point scale) and very low readiness of production to accept integrated learning (1.68 and 2.67, respectively), as well as the poor digitalization of the educational process according to the students and teachers, who are more closely familiar with the reality of production (2.03 and 2.45, respectively).

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

Emerging Trends and Opportunities for Industry Development at the Sub-National Level in Russia

2019 ◽  
pp. 342-363 ◽  
Author(s):  
Leyla A. Gamidullaeva ◽  
Natalia S. Merkulova ◽  
Ludmila I. Kryachkova ◽  
Zoya A. Kondratieva ◽  
Yulia A. Efimova ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
National Level ◽  
Climatic Conditions ◽  
Strong Impact ◽  
Emerging Trends ◽  
Level Of Economic Development ◽  
Level Of Knowledge ◽  
The Relationship

The authors believe that the transition to Industry 4.0 will have a strong impact on the level of urbanization in Russia. The level of urbanization is influenced by many factors, which include the level of economic development of the country, migration of the population, natural and climatic conditions. The highest level of urbanization is typical for industrialized regions. This suggests that it is necessary to develop industry and move to Industry 4.0. The purpose of this chapter is to show the relationship between urbanization and Industry 4.0, as well as to increase the level of knowledge about digital production, the internet of things, the Industry 4.0, and urbanization. The chapter explains the role of Industry 4.0 in the current changing environment. The chapter deals with the most important problems and opportunities of the fourth industrial revolution.

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