scholarly journals A Systematic Literature Review of Industry 4.0 Technologies within Medical Device Manufacturing

2021 ◽  
Vol 13 (10) ◽  
pp. 264
Author(s):  
Tuuli Katarina Lepasepp ◽  
William Hurst
Keyword(s):  
Literature Review ◽  
Medical Device ◽  
Systematic Literature Review ◽  
Digital Libraries ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
New Technologies ◽  
Quality Analysis ◽  
Smart Manufacturing ◽  
Synonymous Term

Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial revolution, its applications have been widely discussed and used in many business scenarios. This concept is derived from the advantages of internet and technology, and it describes the efficient synchronicity of humans and computers in smart factories. By leveraging big data analysis, machine learning and robotics, the end-to-end supply chain is optimized in many ways. However, these implementations are more challenging in heavily regulated fields, such as medical device manufacturing, as incorporating new technologies into factories is restricted by the regulations in place. Moreover, the production of medical devices requires an elaborate quality analysis process to assure the best possible outcome to the patient. Therefore, this article reflects on the benefits (features) and limitations (obstacles), in addition to the various smart manufacturing trends that could be implemented within the medical device manufacturing field by conducting a systematic literature review of 104 articles sourced from four digital libraries. Out of the 7 main themes and 270 unique applied technologies, 317 features and 117 unique obstacles were identified. Furthermore, the main findings include an overview of ways in which manufacturing could be improved and optimized within a regulated setting, such as medical device manufacturing.

scholarly journals Smart Manufacturing Systems and Applied Industrial Technologies for a Sustainable Industry: A Systematic Literature Review

2020 ◽  
Vol 10 (8) ◽  
pp. 2897
Author(s):  
Raffaele Cioffi ◽  
Marta Travaglioni ◽  
Giuseppina Piscitelli ◽  
Antonella Petrillo ◽  
Adele Parmentola
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Circular Economy ◽  
Manufacturing Systems ◽  
Business Models ◽  
New Technologies ◽  
Smart Manufacturing ◽  
Smart Devices ◽  
Digital Innovation ◽  
Smart Manufacturing Systems

Smart manufacturing is considered as a new paradigm that makes work smarter and more connected, bringing speed and flexibility through the introduction of digital innovation. Today, digital innovation is closely linked to the “sustainability” of companies. Digital innovation and sustainability are two inseparable principles that are based on the concept of circular economy. Digital innovation enables a circular economy model, promoting the use of solutions like digital platforms, smart devices, and artificial intelligence that help to optimize resources. Thus, the purpose of the research is to present a systematic literature review on what enabling technologies can promote new circular business models. A total of 31 articles were included in the study. Our results showed that realization of the circular economy involved two main changes: (i) managerial changes and (ii) legislative changes. Furthermore, the creation of the circular economy can certainly be facilitated by innovation, especially through the introduction of new technologies and through the introduction of digital innovations.

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

2020 ◽  
Vol 27 (8) ◽  
pp. 2435-2457 ◽  
Author(s):  
Ricardo Belinski ◽  
Adriana M.M. Peixe ◽  
Guilherme F. Frederico ◽  
Jose Arturo Garza-Reyes
Keyword(s):  
Organizational Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Future Research Directions ◽  
New Research

PurposeIndustry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0's initiatives as well as for the deployment of new research works. Considering “organizational learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between organizational learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well.Design/methodology/approachThis study is based on a systematic literature review that covers Industry 4.0 and organizational learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using data basis Web of Science and Google Scholar. Also, NVivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research.FindingsNine dimensions were identified between organizational learning and Industry 4.0. These include management, Industry 4.0, general industry, technology, sustainability, application, interaction between industry and the academia, education and training and competency and skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage learning in Industry 4.0's programs. They are: learning development, Industry 4.0 structure and technology Adoption.Research limitations/implicationsEven though there are relatively few publications that have studied the relationship between organizational learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches.Practical implicationsThis article identifies the thematic dimensions relative to Industry 4.0 and organizational learning. The understanding of this relation has a relevant contribution to professionals acting in the field of organizational learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organizations.Originality/valueThis article is unique for filling a gap in the academic literature in terms of understanding the relation between organizational learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.

scholarly journals Industry 4.0 Readiness Models: A Systematic Literature Review of Model Dimensions

Information ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 364
Author(s):  
Mohd Hizam-Hanafiah ◽  
Mansoor Ahmed Soomro ◽  
Nor Liza Abdullah
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Future Research ◽  
Technology Readiness ◽  
Leadership Process ◽  
Unique Model ◽  
Analysis Strategy ◽  
Meta Analyses

It is critical for organizations to self-assess their Industry 4.0 readiness to survive and thrive in the age of the Fourth Industrial Revolution. Thereon, conceptualization or development of an Industry 4.0 readiness model with the fundamental model dimensions is needed. This paper used a systematic literature review (SLR) methodology with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and content analysis strategy to review 97 papers in peer-reviewed academic journals and industry reports published from 2000 to 2019. The review identifies 30 Industry 4.0 readiness models with 158 unique model dimensions. Based on this review, there are two theoretical contributions. First, this paper proposes six dimensions (Technology, People, Strategy, Leadership, Process and Innovation) that can be considered as the most important dimensions for organizations. Second, this review reveals that 70 (44%) out of total 158 total unique dimensions on Industry 4.0 pertain to the assessment of technology alone. This establishes that organizations need to largely improve on their technology readiness, to strengthen their Industry 4.0 readiness. In summary, these six most common dimensions, and in particular, the dominance of the technology dimension provides a research agenda for future research on Industry 4.0 readiness.

scholarly journals Industry 5.0: The Convergence of AI and HI (Human Intelligence)

2021 ◽  
Author(s):  
Gauri Malhar Bhandurge ◽  
Mrunmayi Shirish Bhide
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Growth And Development ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Research Paper ◽  
Smart Factory ◽  
Human Intelligence ◽  
Internet Of Everything

Abstract Today, as we see a big chunk of the industries in various fields adapting Industry 4.0, a lot of us have started asking the question “what’s next?”, the next industrial revolution, Industry 5.0. Past revolutions have pointed out that new revolutions take place only to correct the anomalies of the existing industrial situations. Likewise, to generate further clarity and to understand the previous findings around smart factory, we conducted a systematic literature review. This research paper talks about the various walks of life that industry 5.0 has the capability to affect and make better. We have also attempted to list down a few factors that will be vital for bringing about the 5th industrial revolution. With the goal of a smart society, which will be an extension of the existing smart factory, we call this process of transformation, growth and development as ‘THE INDUSTRIAL UPCYCLING’. We are proposing a new terminology called IoE – Internet of Everything as an extension of IoT.

scholarly journals Reference Architectures for Industry 4.0: Literature Review

2020 ◽  
Author(s):  
Alexandre Helmann ◽  
Fernando Deschamps ◽  
Eduardo de Freitas Rocha Loures
Keyword(s):  
Literature Review ◽  
System Architecture ◽  
Industry 4.0 ◽  
New Technologies ◽  
Production Systems ◽  
Smart Manufacturing ◽  
Automation System ◽  
Manufacturing Processes ◽  
Direct Integration

Currently, production systems are receiving the application of more advanced, integrated and connected technologies to optimize the performance of their manufacturing processes. The new technological solutions demand architectures that support intelligent solutions for a new digitalized industry. However, production systems already in operation have difficulty in implementing these technologies. The existing barriers limit the availability of the direct integration of different systems contemplated in an automation system architecture. This article systematically reviews the existing literature to portray the characteristics of each architecture and that can guide the adoption of new technologies. Through this review, emerging reference architectures were identified, such as RAMI4.0, IIRA, IBM Industry 4.0 and NIST Smart Manufacturing. In conclusion, the article presents a framework for considering which model best fits with the new technological solutions.

scholarly journals Media Pembelajaran Matematika Konkret Versus Digital: Systematic Literature Review di Era Revolusi Industri 4.0

2020 ◽  
Vol 3 (2) ◽  
pp. 131-140
Author(s):  
Gusti Firda Khairunnisa ◽  
Yuli Ismi Nahdiyah Ilmi
Keyword(s):  
Problem Solving ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Creative Thinking ◽  
Industrial Revolution ◽  
Mathematics Learning ◽  
Thinking Skills ◽  
Digital Learning ◽  
Internet Networks

The development of technology in the age of the fourth industrial revolution  affects almost every aspect of human lives, including education sector. Therefore, learning innovations are needed in order to meet learning objectives. The objectives are coaching people who are competitive and have 4C skills (communication, collaboration, critical thinking and problem solving, creativity and innovation). One of the learning innovations in mathematics is the application of concrete and digital learning media. To explore and summarize the latest facts related to the concrete and digital mathematics learning media during industry 4.0, the authors of this study conducted a research using Systematic Literature Review method. A total of 30 literatures from various databases were interpreted. A review was drawn on the uses, strengths, and weaknesses of digital and concrete mathematics learning media during industry 4.0. The concrete learning media has advantages which include improving students’ problem solving, creative thinking, and visual thinking skills, but it requires more attention and care. Meanwhile, the advantages of digital learning media include increasing the effectiveness and efficiency of learning mathematics, supporting distance learning, and not requiring special maintenance. Nevertheless, there are still students and teachers who are not familiar with technology, some students do not have gadgets, and there are also inadequate internet networks in some areas.

scholarly journals Industry 4.0 and human resource in Indonesia: a systematic literature review

2021 ◽  
Vol 190 (5-6(2)) ◽  
pp. 171-180
Author(s):  
Octavia Diana Monica Tuegeh ◽  
◽  
Mónika Harangi-Rákos ◽  
Adrian Szilárd Nagy ◽  
◽  
...  
Keyword(s):  
Higher Education ◽  
Labor Market ◽  
Literature Review ◽  
Human Resource ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Research Purpose ◽  
Job Market ◽  
The Impact

There are concerns about the impact of Industrial Revolution 4.0 and challenges on the job market. This research purpose is to analyze the impact of the 4.0 industrial revolution on the labor market related to its consequences for higher education. Based on the Systematic Literature Review using VOSview, this research found the challenges of Industry 4.0 on the job market in Indonesia. Based on the challenges, this research purpose competencies and skill acquired and how the need for higher education to change to answer these challenges.

HR factors for the successful implementation of Industry 4.0: A systematic literature review

2021 ◽  
Vol 47 (2) ◽  
pp. 73-85
Author(s):  
Anju Verma ◽  
Murugesan Venkatesan
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Success Factors ◽  
Industrial Revolution ◽  
Vital Role ◽  
Successful Implementation ◽  
The World ◽  
Potential Factors ◽  
The Impact

As the world moves deeper into the fourth industrial revolution, organizations around the world are polarizing towards the transformation and adoption of the advanced technologies of Industry 4.0. However, recent studies suggest that organizations struggle and face several managerial challenges in their implementation. As a consequence, many studies examined the potential factors that can influence Industry 4.0 implementation. Based on a systematic literature review, this study has tried to explore, examine, and synthesize the potential human resource (HR) success factors and develop an efficient Industry 4.0 HR framework that can play a vital role in Industry 4.0 implementation. This study would also build a solid foundation for practitioners, academicians, and researchers to get a better understanding of the impact of Industry 4.0 on HR management.

Industry 4.0 as a data-driven paradigm: a systematic literature review on technologies

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cristina Orsolin Klingenberg ◽  
Marco Antônio Viana Borges ◽  
José Antônio Valle Antunes Jr
Keyword(s):  
Content Analysis ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
New Technologies ◽  
Journal Citation Report ◽  
Data Driven ◽  
Process Data ◽  
Content Type ◽  
Enabling Technologies

Purpose The purpose of this paper is to identify current technologies related to Industry 4.0 and to develop a rationale to enhance the understanding of their functions within a data-driven paradigm. Design/methodology/approach A systematic literature review of 119 papers published in journals included in the Journal Citation Report (JCR) was conducted to identify Industry 4.0 technologies. A descriptive analysis characterizes the corpus, and a content analysis identifies the technologies. Findings The content analysis identified 111 technologies. These technologies perform four functions related to data: data generation and capture, data transmission, data conditioning, storage and processing and data application. The first three groups consist of enabling technologies and the fourth group of value-creating technologies. Results show that Industry 4.0 publications focus on enabling technologies that transmit and process data. Value-creating technologies, which apply data in order to develop new solutions, are still rare in the literature. Research limitations/implications The proposed framework serves as a structure for analysing the focus of publications over time, and enables the classification of new technologies as the paradigm evolves. Practical implications Because the technical side of the new production paradigm is complex and represents an evolving field, managers benefit from a simplified and data-driven approach. The proposed framework suggests that Industry 4.0 should be approached by looking at how data can create value and at what role each technology plays in this task. Originality/value The study makes a direct link between Industry 4.0 technologies and the key resource of this revolution, i.e. data. It provides a rationale that not only establishes relationships between technologies and data, but also highlights their roles as enablers or creators of value. Beyond showing the current focus of Industry 4.0 publications, this paper proposes a framework that is useful for tracking the evolution of the paradigm.

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