Industry 4.0 and Big Data Literature Review

2020 ◽  
pp. 385-406
Author(s):  
Burcu OZCAN ◽  
Cevher HİLAL AYTAC
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Industry 4.0

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.

scholarly journals Supply Chain 4.0 challenges

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Felipe de Campos Martins ◽  
Alexandre Tadeu Simon ◽  
Renan Stenico de Campos
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Supply Chain ◽  
Internet Of Things ◽  
Literature Review ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Legal Challenges ◽  
New Industry

Abstract: The Supply Chain has undergone major transformations due to the need to implement new Industry 4.0 technologies, such as Internet of Things, Big Data, Cyber-Physical Systems and Cloud Computing. Thanks to these technologies, as well as to their subsystems and components, full integration of the supply chain is becoming possible. However, it is observed that the real impacts of Industry 4.0 technologies, rather positive or negative, are not yet totally clear and identified. This paper aims to identify and present an analysis of the challenges and obstacles that Industry 4.0 technologies may cause in the Supply Chain. For this, the most relevant papers on the topic were selected and analyzed through a systematic literature review. Twenty challenges grouped into four macrogroups were identified: (1) technical challenges, (2) financial, environmental and legal challenges, (3) technological challenges, and (4) sociocultural challenges. It should be noted that these challenges require greater attention and more in-depth studies on the part of the academy to support industry in order to mitigate them and thus allow better use of the available technological resources and optimize the performance of Supply Chain operations.

scholarly journals A Beginner’s Guide to Developing Review-Based Conceptual Frameworks in the Built Environment

Architecture ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 5-24 ◽  
Author(s):  
Fahim Ullah
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Built Environment ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Smart Cities ◽  
Conceptual Frameworks ◽  
High Quality ◽  
Disruptive Technologies ◽  
Literature Reviews

With the boom of industry 4.0 technologies and their adoption in the built environment (BE), conceptual frameworks (CFs) are increasingly developed to facilitate the adoption. It is becoming increasingly important to develop a standard or guide for new BE research entrants and aspirants who want to conduct a systematic literature review and develop such CFs. However, they struggle to find a standard and reproducible procedure to conduct systematic literature reviews and develop CFs successfully. Accordingly, the current study based on requests and inspirations from nascent BE researchers presents guidelines about conducting such studies. A simplistic yet reproducible methodology is presented that can be followed by BE research aspirants to produce high-quality and well-organized review articles and develop a CF. Using an example of big data-based disaster management in smart cities, the current study provides a practical example of conducting a systematic literature review and developing a CF. It is expected that this research will serve as a baseline for conducting systematic studies in the BE field that other fields of science can adopt. Further, it is expected that this study will motivate the nascent BE researchers to conduct systematic reviews and develop associated CFs with confidence. This will pave the way for adopting disruptive technologies and innovative tools in the BE in line with industry 4.0 requirements.

scholarly journals INTEGRAÇÃO INTERFUNCIONAL EM PROCESSOS DE DESENVOLVIMENTO DE PRODUTOS NA ERA DA INDÚSTRIA 4.0

2019 ◽  
Vol 5 ◽  
Author(s):  
Márcio Lopes Pimenta
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Literature Review ◽  
Product Development ◽  
Industry 4.0 ◽  
Functional Integration ◽  
Physical Processes ◽  
Firm Level ◽  
Development Processes

Industry 4.0 covers the use of technologies such as: internet of things, cloud computing, machine-to-machine integration, communication, 3D printing and big data. In this context, cross-functional integration is essential for the product development. The objective of this paper is to characterize the literature on cross-functional integration in product development processes in the context of the technologies of Industry 4.0. A systematic literature review was carried out to analyze the literature on this topic. There is a growing trend of publications mentioning cross-functional integration in product development, in the studied context. The mainstream of cross-functional integration research focuses on cooperation between people, in the sense of integrating structures of function and power. However, in the context of Industry 4.0, there is a shift in this emphasis on people. People continue to be oriented to cooperate with each other to obtain joint results at the firm level. However, this cooperation is more related to the development of skills to deal with cyber-physical processes and with the knowledge produced by machines and information systems. This kind of interaction ability between human, machine and system, can generate a new way to study cross-functional integration.

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.

scholarly journals Alright? - Common Understanding on the Already Applied Industry 4.0 Solutions, Between the Hungarian Beer Industry Suppliers and Multinational Beer Makers

2020 ◽  
Author(s):  
Ilona Papp ◽  
Istvan Pesti-Farkas
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Literature Review ◽  
Industry 4.0 ◽  
Multinational Companies ◽  
Current Situation ◽  
Beer Industry ◽  
Common Understanding

Our paper is aimed to analyze the current situation on the Hungarian beer industry, from the aspect of industry 4.0 understanding within the supply chain, namely between the manufacturers and their suppliers. After a literature review, we had examined the big data, the robotics and the overall digitalization related attitudes and understandings. The key finding is that the multinational companies have to deal with a previously unrecognized problem, namely the prejudices of local suppliers in regards the innovation of industry 4.0 tools.

scholarly journals Peluang Implementasi Teknologi Big Data Dan Block Chain Untuk Peningkatan Kinerja Perdagangan Pada Sektor UMKM di Indonesia Pada Era Industri 4.0

2020 ◽  
Vol 3 (1) ◽  
pp. 71-80
Author(s):  
M Zaky Hadi
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Industry 4.0 ◽  
System Development ◽  
Research Area ◽  
Business Environment ◽  
Future Research ◽  
Literature Analysis ◽  
Main Challenge ◽  
Block Chain

Industry 4.0 is the main challenge in business environment resulted from disruption technology. It has been affected many sectors in development country including SME in Indonesia. This paper provides a literature review on big data and block chain implementation opportunity to increase trading performance for indonesian SME sector in industry 4.0 era. A systematic literature review (SLR) was implemented to review the literature analysis, provide gap and recommendation to future research and managerial implementation on Indonesian SME. We found a system development on Big Data and how Indonesian government implements the system is the main challenge in this research area.

scholarly journals Sustainable Cyber-Physical Production Systems in Big Data-Driven Smart Urban Economy: A Systematic Literature Review

2021 ◽  
Vol 13 (2) ◽  
pp. 751
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Mariana Iatagan ◽  
Iulian Hurloiu ◽  
Irina Dijmărescu
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Literature Review ◽  
Operations Management ◽  
Industry 4.0 ◽  
Production Systems ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Industrial Big Data ◽  
Cyber Physical Production Systems

In this article, we cumulate previous research findings indicating that cyber-physical production systems bring about operations shaping social sustainability performance technologically. We contribute to the literature on sustainable cyber-physical production systems by showing that the technological and operations management features of cyber-physical systems constitute the components of data-driven sustainable smart manufacturing. Throughout September 2020, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “sustainable industrial value creation”, “cyber-physical production systems”, “sustainable smart manufacturing”, “smart economy”, “industrial big data analytics”, “sustainable Internet of Things”, and “sustainable Industry 4.0”. As we inspected research published only in 2019 and 2020, only 323 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 119, generally empirical, sources. Future research should investigate whether Industry 4.0-based manufacturing technologies can ensure the sustainability of big data-driven production systems by use of Internet of Things sensing networks and deep learning-assisted smart process planning.

Trends and Opportunities in Health Analytics as a Service and Implications for Use in Low Resource Settings: A Literature Review Abstract (Preprint)

2019 ◽  
Author(s):  
Meghana Bastwadkar ◽  
Carolyn McGregor ◽  
S Balaji
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Intensive Care ◽  
Literature Review ◽  
Health Monitoring ◽  
Data Analytics ◽  
Neonatal Intensive Care ◽  
Big Data Analytics ◽  
Healthcare Facilities

BACKGROUND This paper presents a systematic literature review of existing remote health monitoring systems with special reference to neonatal intensive care (NICU). Articles on NICU clinical decision support systems (CDSSs) which used cloud computing and big data analytics were surveyed. OBJECTIVE The aim of this study is to review technologies used to provide NICU CDSS. The literature review highlights the gaps within frameworks providing HAaaS paradigm for big data analytics METHODS Literature searches were performed in Google Scholar, IEEE Digital Library, JMIR Medical Informatics, JMIR Human Factors and JMIR mHealth and only English articles published on and after 2015 were included. The overall search strategy was to retrieve articles that included terms that were related to “health analytics” and “as a service” or “internet of things” / ”IoT” and “neonatal intensive care unit” / ”NICU”. Title and abstracts were reviewed to assess relevance. RESULTS In total, 17 full papers met all criteria and were selected for full review. Results showed that in most cases bedside medical devices like pulse oximeters have been used as the sensor device. Results revealed a great diversity in data acquisition techniques used however in most cases the same physiological data (heart rate, respiratory rate, blood pressure, blood oxygen saturation) was acquired. Results obtained have shown that in most cases data analytics involved data mining classification techniques, fuzzy logic-NICU decision support systems (DSS) etc where as big data analytics involving Artemis cloud data analysis have used CRISP-TDM and STDM temporal data mining technique to support clinical research studies. In most scenarios both real-time and retrospective analytics have been performed. Results reveal that most of the research study has been performed within small and medium sized urban hospitals so there is wide scope for research within rural and remote hospitals with NICU set ups. Results have shown creating a HAaaS approach where data acquisition and data analytics are not tightly coupled remains an open research area. Reviewed articles have described architecture and base technologies for neonatal health monitoring with an IoT approach. CONCLUSIONS The current work supports implementation of the expanded Artemis cloud as a commercial offering to healthcare facilities in Canada and worldwide to provide cloud computing services to critical care. However, no work till date has been completed for low resource setting environment within healthcare facilities in India which results in scope for research. It is observed that all the big data analytics frameworks which have been reviewed in this study have tight coupling of components within the framework, so there is a need for a framework with functional decoupling of components.

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