An Analysis of the Value of Data Ecosystem Tools for Industry 4.0

2019 ◽  
Vol 10 (4) ◽  
pp. 18-32
Author(s):  
Tom Page
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Open Systems ◽  
Open Data ◽  
User Studies ◽  
Good Design ◽  
Use Of Data ◽  
Data Practices ◽  
Data Ecosystem

Product design is a process that involves many methods and practices to be able to create “good design.” From user studies to experimentation, the designer has many tools at his disposal to understand the market and the requirements of the product they wish to produce. Big data has been a disruptor in user analysis for many organizations wishing to get the bigger picture. It has proven to have many positive implications while also being restrictive to those willing to use it. Therefore, connected open systems where all stratums are able to access similar applications have been made available. With the 4th industrial revolution underway, and the ability to utilise a plethora of sensors and electronic data provided by internet connected devices, is it in the designer's interest to adopt modern data practices? During this research, the suitability of big data practices to designers was assessed to gain an understanding of the environment that would allow designers to utilise this new platform including the practice of open data and the systems required to manage it. This article will address emerging and current technologies in the use of data within the 4th industrial revolution. Big data and open data were critically examined of their processes and downfalls compared to how the designer would use the practices.

Big Data, 3D Printing Technology, and Industry of the Future

2020 ◽  
pp. 503-520
Author(s):  
Micheal Omotayo Alabi
Keyword(s):  
Big Data ◽  
3D Printing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Printing Technology ◽  
3D Printing Technology ◽  
Research Areas ◽  
Early Disease Detection ◽  
Big Data Technologies ◽  
3D Printed

This article describes how 3D printing technology, also referred to as additive manufacturing (AM), is a process of creating a physical object from 3-dimensional digital model layers upon layers. 3D printing technologies have been identified as an emerging technology of the 21st century and are becoming popular around the world with a wide variety of potential application areas such as healthcare, automotive, aerospace, manufacturing, etc. Big Data is a large amount of imprecise data in a variety of formats which is generated from different sources with high-speed. Recently, Big Data and 3D printing technologies is a new research area and have been identified as types of technologies that will launch the fourth industrial revolution (Industry 4.0). As Big Data and 3D printing technology is wide spreading across different sectors in the era of industry 4.0, the healthcare sector is not left out of the vast development in this field; for instance, the Big Data and 3D printing technologies providing needed tools to support healthcare systems to accumulate, manage, analyse large volume of data, early disease detection, 3D printed medical implant, 3D printed customized titanium prosthetic, etc. Therefore, this article presents the recent trends in 3D printing technologies, Big Data and Industry 4.0; including the benefits and the application areas of these technologies. Emerging and near future application areas of 3D printing, and possible future research areas in 3D printing and Big Data technologies as relating to industry 4.0.

Industrial Occupational Safety

2021 ◽  
pp. 1767-1787
Author(s):  
Susana Pinto da Costa ◽  
Nélson Costa
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Safety Culture ◽  
Industry 4.0 ◽  
Occupational Safety ◽  
Industrial Revolution ◽  
Manufacturing Companies ◽  
Data Safety ◽  
Massive Change

The new industrial revolution will encompass massive change. Manufacturing Companies are pursuing digitalization and trying to figure out how to implement collaborative robots, all the while trying to manage data safety and security. It is a big challenge to deal with all the needed infrastructures to handle the big data digitalization provides whilst having to account for the shielding of it. Even more so when one has to succeed at it while taking care of the workers, the sustainability of their jobs, the implementation of safe practices at work, based on the contributions of the whole, through efficient vertical communication, imbued with Safety Culture and aiming the sustainability of the Company itself. This chapter proposes to address the role of standardization in managing industry 4.0, where culture, Risk Management and Human Factors are key, and how the tools provided by these norms may contribute to nimbly balance each Company's needs.

Influence of Industry 4.0 on Motives and Cultures in the Post-COVID-19 Era

2022 ◽  
pp. 301-318
Author(s):  
Xuan Tran
Keyword(s):  
Big Data ◽  
Cultural Differences ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Integrated Model ◽  
Effective Strategy ◽  
Fourth Industrial Revolution ◽  
Affiliation Motive ◽  
Power Motive ◽  
Structure Equation Modelling

As the challenge of big data impacts how we understand cultural differences, a motive-integrated model of culture is becoming an effective strategy to search for convergence by the fourth industrial revolution called Industry 4.0. This study examines the integration approach of Industry 4.0 in merging motives and cultures to efficiently produce COVID-19 vaccines. Structure equation modelling has been conducted on the data in 38 countries during the period of 2006-2021. Findings indicate that Industry 4.0 has merged achievement motive in reactive culture, power motive in multi-linear active culture, and affiliation motive in linear active culture. The three pairs of motive-cultures have enabled people to successfully produce COVID-19 vaccines 10 times faster than previous approaches for vaccines. To implement Industry 4.0, the reactive countries and multilinear active countries would enhance the achievement and power motives, but the linear active countries would decrease the affiliation motive.

scholarly journals Revealing the Content of Industry 4.0: A Review of Literature

2020 ◽  
Author(s):  
Alexander Vestin ◽  
Kristina Säfsten ◽  
Malin Löfving
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Literature Review ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Design Principles ◽  
Cyber Physical Systems ◽  
Service Orientation ◽  
Review Of Literature ◽  
Fourth Industrial Revolution

A fourth industrial revolution is prophesied, and there is a potential for the industrialized world to proactively adapt suitable practices. Despite the large interest from both industry and academia, a drawback with the vast literature on initiatives that tap into the fourth industrial revolution, Industry 4.0 and alike, is the fuzziness when it comes to terminology and content. The terms are mixed up, and sometimes used interchangeable and the constituent parts are not fully described. The purpose of this paper is to present the content of initiatives related to the fourth industrial revolution in a structured manner. This is expected to support understanding for the content of the fourth industrial revolution and thereby facilitate the transformation. The results presented in this paper is based on a traditional literature review. In total 13 relevant review papers were identified. The identified papers were analyzed, and a framework was developed including technologies and design principles. In total, eleven technologies and twelve design principles were identified for Industry 4.0. The most frequently occurring technologies were Cyber physical systems, Internet of Things, and Big data. The most frequently occurring design principles were Smart factory, Service orientation and Sustainability and resource efficiency. A categorization of the content into technologies and design principles clarify and structures the content of Industry 4.0. The developed framework can support academics in identifying, describing, and selecting Industry 4.0 scenarios for further investigations. For practitioners, the framework can give a basic understanding and some guidance in their implementation journey of Industry 4.0.

Industrial Occupational Safety

2020 ◽  
pp. 152-172
Author(s):  
Susana Pinto da Costa ◽  
Nélson Costa
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Safety Culture ◽  
Industry 4.0 ◽  
Occupational Safety ◽  
Industrial Revolution ◽  
Manufacturing Companies ◽  
Data Safety ◽  
Massive Change

The new industrial revolution will encompass massive change. Manufacturing Companies are pursuing digitalization and trying to figure out how to implement collaborative robots, all the while trying to manage data safety and security. It is a big challenge to deal with all the needed infrastructures to handle the big data digitalization provides whilst having to account for the shielding of it. Even more so when one has to succeed at it while taking care of the workers, the sustainability of their jobs, the implementation of safe practices at work, based on the contributions of the whole, through efficient vertical communication, imbued with Safety Culture and aiming the sustainability of the Company itself. This chapter proposes to address the role of standardization in managing industry 4.0, where culture, Risk Management and Human Factors are key, and how the tools provided by these norms may contribute to nimbly balance each Company's needs.

scholarly journals PENINGKATAN LITERASI DATA MENUJU INDONESIA 4.0

2020 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Setia Pramana
Keyword(s):  
Big Data ◽  
Local Governments ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Decision Makers ◽  
Evidence Based ◽  
Data Literacy ◽  
Government Institutions ◽  
Big Data Technology ◽  
Analyze Data

The Indonesian government has set 10 national priorities to face the Industrial Revolution 4.0 which is accompanied by an integrated roadmap known as Making Indonesia 4.0. Achieving these targets requires collaboration among the stakeholders (government institutions, associations and industry players, and academics).One of the key determinants of competitiveness in the Industry 4.0 era, is human capital including data literacy capability to analyze data generated from various technological devices becomes an information and policy, especially for the government.Politeknik Statistika STIS lecturers have held a series of activities to increase data literacy and big data technology for central and local governments, industry players, research institutions and universities. The activities were carried out in the form of a series of seminars, as well as workshops attended by decision makers of central and local governments, researchers and lecturers from various universities in Indonesia. As a result of this series of activities, the participants not only had an understanding of the importance of the data but were also able to use data to improve their evidence-based policies.Keywords: data literacy, evidence-based policy, big data, industry 4.0

scholarly journals The Future Of Accounting Profession in The Industrial Revolution 4.0: Meta-Synthesis Analysis

2021 ◽  
Vol 31 (4) ◽  
Author(s):  
Ni Made Kariana Rosi ◽  
Luh Putu Mahyuni
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
New Technology ◽  
Synthesis Method ◽  
Accounting Profession ◽  
Internal Auditors ◽  
Technological Advances ◽  
Applied Technology

Various appearances of applied technology, such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data are all Industrial Revolution 4.0 characteristics that can change the business model. This research aims to explore how the advancement of Industrial Revolution 4.0 technology might disrupt the accounting profession. This research applied meta-synthesis method. The results of this study illustrated that the importance of development in the accounting sector is to keep pace with technological advances in industry 4.0. This must be balanced with the development of knowledge in the field of accounting so that all types of development can be carried out as well as possible. The findings showed that the appearance of various kinds new technology had a very significant impact in the development of the accounting profession. Further research should be able to discuss the Industrial Revolution 4.0 impact in more depth and can be linked to other accounting professions, such as internal auditors. Keywords: Accounting Profession; Industrial Revolution 4.0; Technology.

Emerging Auditing Perspectives in the Age of the Fourth Industrial Revolution

2021 ◽  
pp. 999-1014
Author(s):  
Mahmut Sami Ozturk
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Methodological Approach ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
The Internet Of Things

The purpose of this chapter is to investigate the role of audit activities and auditors in Industry 4.0. The preferred methodological approach in the study is a general analysis of auditing in Industry 4.0 in the form of a literature review. According to the purpose of the study, the effect and role of auditing big data, the internet of things, the cloud, artificial intelligence, and other components in Industry 4.0 are investigated. Furthermore, auditing activities that can be implemented in Industry 4.0 are presented as suggestions in the study. The study explains the role of auditing as a whole in Industry 4.0 as a consequence of examining audit activities for each component in Industry 4.0.

Revisiting Corruption Mathematical Models in the Fourth Industrial Revolution

2021 ◽  
pp. 270-296
Author(s):  
Arpita Patra ◽  
Lovemore Matipira ◽  
Fanny Saruchera ◽  
K. S. Sastry Musti
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Mathematical Models ◽  
Case Studies ◽  
Industry 4.0 ◽  
Computational Models ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
Fourth Industrial Revolution ◽  
Several Variables

Analyzing corruption is a topic of interest to many and is indeed very complex due to its inherent difficulties with its identification and quantification. Past studies present several variables, indices, computational models, and approaches, but their relevance in the fourth industrial revolution (Industry 4.0) has been debatable. This chapter addresses the need to revisit the mathematical models and approaches in the Industry 4.0 context. The chapter provides a foundation for this argument through a compressive literature review followed by a proposal of a three-stage concept for corruption identification. The chapter illustrates two case studies from which a strong justification derives for considering the digital transformation and use of big data to deal with corruption and improve the external and internal perceptions about corruption in general.

The Incorporation of Big Data in Mathematical Training for the Fourth Industrial Revolution

2021 ◽  
pp. 61-79
Author(s):  
Jésica Alhelí Cortés Ruiz ◽  
Sandra Viridiana Cortés Ruiz
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Industrial Revolution ◽  
The Other ◽  
Educational Institutions ◽  
Intelligent Environments ◽  
Fourth Industrial Revolution ◽  
Other Hand ◽  
Cybernetic System

The context of Industry 4.0 is changing the training of mathematical students, new and old generations, in such a way that educational institutions implement strategies and actions to adapt study plans according to the requirements of the new industrial revolution. On the other hand, big data is a cybernetic system that functions as a tool that incorporates mathematical training and implementation and that has recently been included in the educational sphere in order to collaborate with the development of specific competencies based on information technologies and communication, with the purpose of interacting in the intelligent environments proposed by Industry 4.0.

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