scholarly journals Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0

2021 ◽  
Vol 4 ◽  
Author(s):  
Alexandros Bousdekis ◽  
Gregoris Mentzas
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Data Driven ◽  
Enterprise Integration ◽  
Safety Issues ◽  
Manufacturing Operations ◽  
Efficient Communication ◽  
Architectural Framework ◽  
Traditional Manufacturing

Traditional manufacturing businesses lack the standards, skills, processes, and technologies to meet today's challenges of Industry 4.0 driven by an interconnected world. Enterprise Integration and Interoperability can ensure efficient communication among various services driven by big data. However, the data management challenges affect not only the technical implementation of software solutions but the function of the whole organization. In this paper, we bring together Enterprise Integration and Interoperability, Big Data Processing, and Industry 4.0 in order to identify synergies that have the potential to enable the so-called “Fourth Industrial Revolution.” On this basis, we propose an architectural framework for designing and modeling Industry 4.0 solutions for big data-driven manufacturing operations. We demonstrate the applicability of the proposed framework through its instantiation to predictive maintenance, a manufacturing function that increasingly concerns manufacturers due to the high costs, safety issues, and complexity of its application.

Augmented Technology for Safety and Maintenance in Industry 4.0

2021 ◽  
pp. 495-502
Author(s):  
Vikas Kukshal ◽  
Amar Patnaik ◽  
Sarbjeet Singh
Keyword(s):  
Industry 4.0 ◽  
Manufacturing System ◽  
Industrial Revolution ◽  
Intelligent Manufacturing ◽  
Skilled Workers ◽  
New Era ◽  
Intelligent Manufacturing System ◽  
Traditional Manufacturing ◽  
Area Of Concern ◽  
Rapid Transformation

The traditional manufacturing system is going through a rapid transformation and has brought a revolution in the industries. Industry 4.0 is considered to be a new era of the industrial revolution in which all the processes are integrated with a product to achieve higher efficiency. Digitization and automation have changed the nature of work resulting in an intelligent manufacturing system. The benefits of Industry 4.0 include higher productivity and increased flexibility. However, the implementation of the new processes and methods comes along with a lot of challenges. Industry 4.0. requires more skilled workers to handle the operations of the digitalized manufacturing system. The fourth industrial revolution or Industry 4.0 has become the absolute reality and will undoubtedly have an impact on safety and maintenance. Hence, to tackle the issues arising due to digitization is an area of concern and has to be dealt with using the innovative technologies in the manufacturing industries.

Industrial revolution 4.0: implication to libraries and librarians

2019 ◽  
Vol 37 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Abid Hussain
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Current Trend ◽  
Library Services ◽  
Content Type ◽  
Strategic Approach ◽  
Traditional Manufacturing ◽  
Future Of Education ◽  
Industrial Revolutions

Purpose Industry 4.0 is a term for the so-called Fourth Industrial revolutions. It is the technological integration of cyber-physical systems (CPS) in the process of production. CPS enables internet-based process networking with all participants in the process of value creation. The industrial revolution is actually changing how we live, work and communicate. Many trades have highly been affected by 4IR, libraries are one of them. The libraries of twenty-first century are shifting their paradigms from traditional setup to modern information networking. As people and machines are connecting to each other at enormous speed, artificial intelligence, mobile computing, machine learning and automation of every trade have become a need of the day. Automation and artificial intelligence are change agents in 4IR that will make certain groups of employees redundant, replacing them with new workers with the needed skills or with machines that do the job cheaper. This paper aims to shed light on how the 4IR will “shape the future of education, gender, work and library services”. The purpose of this paper is to highlight the challenges being faced by the library and librarians in the age of Industrial 4.0 revolution in contemporary society. The purpose of this study is to review the past literature on Industrial Revolutions 4.0 in education and interlink them with Library services. Design/methodology/approach The current study performs a systematic and content-centric review of literature relevant to library services. The literature of this study is based on a six-stage approach to identify the design principles and technology trends of 4IR in education and Library services. Findings Industry 4.0 Revolution is the current trend of revolutionary technology, which has affected many services in this age of globalization. Similar, Library services have highly been affected by 4IR. An effort has been made to highlight the vari-ous challenges being faced by libraries and librarians in this age of information. Some solutions have been presented to the library professionals to overcome this technology to boost its services up to the entire satisfaction of the patrons. Research limitations/implications The strategic approach in this study can serve the academicians and practitioners in the field of librarianship as a stepping stone to develop a successful transition from traditional manufacturing into the industry 4.0. Originality/value The study is among the first to identify the challenges being faced by libraries and librarians in this age of Industrial revolutions.

scholarly journals Assessment of Industry 4.0 Maturity Models by Design Principles

2020 ◽  
Vol 12 (23) ◽  
pp. 9927
Author(s):  
Dinara Dikhanbayeva ◽  
Sabit Shaikholla ◽  
Zhanybek Suleiman ◽  
Ali Turkyilmaz
Keyword(s):  
Development Strategy ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Design Principles ◽  
Maturity Models ◽  
Digital Revolution ◽  
Starting Point ◽  
Traditional Manufacturing ◽  
Globalized World ◽  
Further Development

The fourth industrial revolution and accompanying digital transformation has progressed dramatically in recent years. The new digital revolution, mostly known as Industry 4.0, introduces impressive changes in the way enterprises and organizations are operating in a globalized world and altering the well-established lifestyle of a society. Therefore, it is of utmost importance to identify the current capabilities of companies in the context of Industry 4.0. Current literature on Industry 4.0 maturity and assessment models underlies the importance of a proper development strategy with exact steps to perform. Design principles address the issue of systematizing the measurable and attainable steps for further development. The present study contributes towards the identification of the research gap in the presence of core Industry 4.0 design principles during the development of maturity models. The analysis of 12 chosen maturity models by eight core design principles was provided. This research can serve as a starting point for the development of a complex strategic roadmap and thereby to provide a successful transition from traditional manufacturing into Industry 4.0.

scholarly journals Challenges for the DOE methodology related to the introduction of Industry 4.0

2020 ◽  
Vol 26 (4) ◽  
pp. 190-194
Author(s):  
Jacek Pietraszek ◽  
Norbert Radek ◽  
Andrii V. Goroshko
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Integration ◽  
Design Of Experiments ◽  
Industry 4.0 ◽  
Data Stream ◽  
Data Driven ◽  
Industrial Data ◽  
Existing Problems

AbstractThe introduction of solutions conventionally called Industry 4.0 to the industry resulted in the need to make many changes in the traditional procedures of industrial data analysis based on the DOE (Design of Experiments) methodology. The increase in the number of controlled and observed factors considered, the intensity of the data stream and the size of the analyzed datasets revealed the shortcomings of the existing procedures. Modifying procedures by adapting Big Data solutions and data-driven methods is becoming an increasingly pressing need. The article presents the current methods of DOE, considers the existing problems caused by the introduction of mass automation and data integration under Industry 4.0, and indicates the most promising areas in which to look for possible problem solutions.

scholarly journals The roles of data management and analytics in industry 4.0 ecosystems

2020 ◽  
Author(s):  
Hendro Wicaksono
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Linked Data ◽  
Data Analytics ◽  
Industrial Revolution ◽  
Data Driven ◽  
Knowledge Graph ◽  
Fourth Industrial Revolution ◽  
Global Access ◽  
Integration Data

The presentation introduces the technologies associated with the fourth industrial revolution which rely on the concept of artificial intelligence. Data is the basis of functioning artificial intelligence technologies. The presentation also explains how data can revolutionize the business by providing global access to physical products through an industry 4.0 ecosystem. The ecosystem contains four pillars: smart product, smart process, smart resources (smart PPR), and data-driven services. Through these four pillars, the industry 4.0 can be implemented in different sectors. The presentation also provides some insights on the roles of linked data (knowledge graph) for data integration, data analytics, and machine learning in industry 4.0 ecosystem. Project examples in smart city, healthcare, and agriculture sectors are also described. Finally, the presentation discusses the implications of the introduced concepts on the Indonesian context.

scholarly journals Big Data-Driven Macroeconomic Forecasting Model and Psychological Decision Behavior Analysis for Industry 4.0

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jie Liu
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Behavior Analysis ◽  
Industry 4.0 ◽  
Value Added ◽  
Complete Information ◽  
Data Driven ◽  
Macroeconomic Forecasting ◽  
The Government ◽  
Decision Making Behavior

With the advent of Industry 4.0, economic development has become a rapid information age. The content of macroeconomic forecast is very extensive, and the existence of big data technology can provide the government with multilevel, diversified, and complete information and comprehensively process, integrate, summarize, and classify these pieces of information. This paper forecasts the CPI value in the next 12 months according to the CPI in China in the recent 20 years. Compared with the traditional forecasting methods, the forecasting results have higher accuracy and timeliness. At the same time, the trend of growth rate of industrial value-added is analyzed, and the experiments on MAE and RMSE show that the method proposed in this paper has obvious advantages. It also analyzes the disadvantages of traditional psychological decision-making behavior analysis, introduces the development status and advantages of big data-driven psychological decision-making behavior analysis, and opens up new research ideas for psychological decision-making analysis.

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