scholarly journals The Future of Factories: Different Trends

2021 ◽  
Vol 11 (21) ◽  
pp. 9980
Author(s):  
Giulio Salierno ◽  
Letizia Leonardi ◽  
Giacomo Cabri
Keyword(s):  
Industry 4.0 ◽  
Business Processes ◽  
Industrial Revolution ◽  
Building Blocks ◽  
Radical Change ◽  
Cloud Manufacturing ◽  
Smart Manufacturing ◽  
The Future ◽  
Factory Of The Future ◽  
Traditional Manufacturing

The technological advancements promote the rise of the fourth industrial revolution, where key terms are efficiency, innovation, and enterprises’ digitalization. Market globalization, product mass customization, and more complex products need to reflect on changing the actual design methods and developing business processes and methodologies that have to be data-driven, AI-assisted, smart, and service-oriented. Therefore, there is a great interest in experimenting with emerging technologies and evaluating how they impact the actual business processes. This paper reports a comparison among the major trends in the digitalization of a Factory of the Future, in conjunction with the two major strategic programs of Industry 4.0 and China 2025. We have focused on these two programs because we have had experience with them in the context of the FIRST H2020 project. European industrialists identify the radical change in the traditional manufacturing production process as the rise of Industry 4.0. Conversely, China mainland launched its strategic plan in China 2025 to promote smart manufacturing to digitalize traditional manufacturing processes. The main contribution of this review paper is to report about a study, conducted and part of the aforementioned FIRST project, which aimed to investigate major trends in applying for both programs in terms of technologies and their applications for the factory’s digitalization. In particular, our analysis consists of the comparison between Digital Factory, Virtual Factory, Smart Manufacturing, and Cloud Manufacturing. We analyzed their essential characteristics, the operational boundaries, the employed technologies, and the interoperability offered at each factory level for each paradigm. Based on this analysis, we report the building blocks in terms of essential technologies required to develop the next generation of a factory of the future, as well as some of the interoperability challenges at a different scale, for enabling inter-factories communications between heterogeneous entities.

scholarly journals Challenges Associated with Implementing 5G in Manufacturing

Telecom ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 48-67 ◽  
Author(s):  
Eoin O’Connell ◽  
Denis Moore ◽  
Thomas Newe
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Smart Manufacturing ◽  
5G Networks ◽  
Security Issues ◽  
Technical Requirements ◽  
The Future ◽  
Factory Of The Future ◽  
Industry Sectors

5G networks will change several industries, including manufacturing. 5G has the potential to become the future communication platform of choice for many industries and in particular the manufacturing sector, driving the future of Industry 4.0 and smart manufacturing. The vision of a “factory of the future” is now tangible for many industry sectors. The ability to cope with increased bandwidth, latency requirements, big-data generated from more connected equipment and the data processing required on the factory floor is a massive challenge for industry. This paper discusses how 5G can impact a manufacturing environment, the standards and technical requirements needed to meet the demands of utilizing 5G, and the security issues that need to be addressed if planning a 5G deployment.

Adjustment of enterprises to the requirements of the fourth industrial revolution – regional approach

2021 ◽  
Vol 66 (1) ◽  
pp. 32-48
Author(s):  
Andrzej Sokołowski ◽  
Małgorzata Markowska
Keyword(s):  
Experimental Research ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Composite Indicator ◽  
Composite Indicators ◽  
Regional Approach ◽  
Fourth Industrial Revolution ◽  
The Future

The aim of the paper is to propose a composite indicator characterising the level of development of Polish NUTS 2 regions with respect to the implementation and results of the changes the fourth industrial revolution (Industry 4.0) entails, and to present a ranking of regions illustrating the degree to which enterprises have adjusted to the requirements of Industry 4.0. Data used for the calculations have been based on the results of an experimental research conducted by Statistics Poland (GUS) in 2019. Two methods for constructing the composite indicators have been used – classical and iterative which is to assess the indicator’s resilience to the influence of any potential outliers. 10 sub-criteria, covered by 21 variables have been taken into account. Opolskie region appeared to be the best NUTS 2 region in Poland in terms of the implementation of the requirements outlined by Industry 4.0. The evaluation of the proposed composite indicator will be possible when comparing it with the results of similar surveys carried out by GUS in the future.

Digital Transformation and Industry 4.0

2021 ◽  
pp. 1-17
Author(s):  
Hanaa Abdulraheem Yamani ◽  
Waleed Tageldin Elsigini
Keyword(s):  
Customer Service ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
Fourth Industrial Revolution ◽  
Industrial Companies ◽  
The Future ◽  
Information And Communication ◽  
Definition Of

The current era is witnessing many changes on various levels. The information and communication revolutions are considered one of the important changes which has cast a shadow over how different institutions in society work via the phenomenon of digitization. As some of the most important institutions of society, industrial companies have been responding to this phenomenon of digital transformation to improve products and customer service while achieving a significant profitable return. This response by these institutions to the digital transformation has resulted in the emergence of the so-called fourth industrial revolution. In this context, this chapter reviews the definition of digital transformation as well as its dimensions, benefits, and obstacles. It also comments on the future of digital transformation and its relationship with industry. Ultimately it presents the fourth industrial revolution in terms of its definition, history, criteria, benefits, and the challenges it faces moving into the future.

Industry 4.0 From a Management Perspective

2022 ◽  
pp. 1-18
Author(s):  
Ilknur Taştan Boz ◽  
Özden Ibrahimağaoğlu
Keyword(s):  
Industry 4.0 ◽  
Business Models ◽  
Business Processes ◽  
Industrial Revolution ◽  
Organizational Structures ◽  
Transformation Process ◽  
Management Perspective ◽  
Fundamental Transformation ◽  
Transformation Processes ◽  
The Internet Of Things

Industries have undergone three fundamental transformation processes that were revolutionary. Following these processes, industries have been confronted with the phenomenon of Industry 4.0, known as the 4th Industrial Revolution, that is acknowledged as a new transformation process. The basic dynamics of this phenomenon include smart robots, simulation, the internet of things, cloud, additive manufacturing, and big data. It is of utmost importance for businesses that are involved in this process, that are new and trying to adapt to the process, to be prepared and adapt to the effects of Industry 4.0 dynamics. These dynamics lead to significant developments in business models, business processes, organizational structures, employees, and human resource processes. When Industry 4.0 and its dynamics are evaluated in general, businesses that follow the process and make necessary managerial adjustments will be ahead of the competition.

Logistics 4.0 Energy Modelling

2021 ◽  
pp. 436-460
Author(s):  
Megashnee Munsamy ◽  
Arnesh Telukdarie ◽  
Pavitra Dhamija
Keyword(s):  
Industry 4.0 ◽  
Energy Demand ◽  
Business Processes ◽  
Industrial Revolution ◽  
Ghg Emissions ◽  
Energy Model ◽  
Logistics Network ◽  
Model Based ◽  
Research Propositions ◽  
Energy Optimisation

Logistics activities are significant energy consumers and known contributors to GHG emissions, hence optimisation of logistics energy demand is of critical importance. The onset of the fourth Industrial revolution delivers significant technological opportunities for logistics optimisation with additional benefits in logistics energy optimisation. This research propositions a business process centric logistics model based on Industry 4.0. A Logistics 4.0 architecture is developed comprising Industry 4.0 technologies and associated enablers. The Industry 4.0 architecture components are validated by conducting a Systematic Literature Review on Industry 4.0 and logistics. Applying the validated Logistics 4.0 architecture to a cyber physical logistics energy model, based on the digitalisation of business processes, a comprehensive simulation is developed identified as the Logistic 4.0 Energy Model. The model simulates the technological impact of Industry 4.0 on a logistics network. The model generates energy and CO2 emission values for “as-is” and “to-be” Industry 4.0 scenarios.

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.

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

2020 ◽  
Vol 21 (4) ◽  
pp. 565-581 ◽  
Author(s):  
Elena G. Popkova ◽  
Bruno S. Sergi
Keyword(s):  
Human Capital ◽  
Social Entrepreneurship ◽  
Industry 4.0 ◽  
Business Processes ◽  
Content Type ◽  
Goods And Services ◽  
The Future ◽  
Social Goods ◽  
Human Intellect ◽  
Intelligent Decision Support

PurposeThe purpose of this article is to determine the future proportion and variants of usage of human intellect and artificial intelligence (AI) in entrepreneurship of industry 4.0 that fits social entrepreneurship the most. It could be convergence (simultaneous utilization during the same entrepreneurial processes with the emphasis on unique features by the terms of the competition) or divergence (usage during different business processes by the terms of labor division).Design/methodology/approachThe authors determine the influence of usage of human capital and AI on the efficiency of social entrepreneurship. The authors identify the perspective directions of usage of AI in social entrepreneurship and evaluate the readiness and interest in the implementation of these directions of concerned parties. The authors also model the optimal proportions and the variant of usage of human intellect and AI in social entrepreneurship in the conditions of Industry 4.0 in the future (until 2030).FindingsIt is found that social entrepreneurship will use the opportunities of Industry 4.0 for optimization of its activities until 2030, but will refuse from full automatization, using human intellect and AI at the same time.Originality/valueThe most perspective directions of application of AI at social companies are a collection of social goods and services, marketing studies and promotion of social goods and services. Neither convergence nor divergence of human and artificial intellectual capital does not fully conform to the interests of concerned parties. The most preferable (optimal) variant of usage of human intellect and AI in social entrepreneurship in the Industry 4.0 is human intelligent decision support.

scholarly journals Defining SMEs’ 4.0 Readiness Indicators

2020 ◽  
Vol 10 (24) ◽  
pp. 8998
Author(s):  
Nilubon Chonsawat ◽  
Apichat Sopadang
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Production Efficiency ◽  
Cloud Manufacturing ◽  
Smart Manufacturing ◽  
Increase Production Efficiency ◽  
Five Dimensions ◽  
High Stage ◽  
Industrial Internet ◽  
Infrastructure System

Industry 4.0 revolution offers smart manufacturing; it systematically incorporates production technology and advanced operation management. Adopting these high-state strategies can increase production efficiency, reduce energy consumption, and decrease manufacturer costs. Simultaneously, small and medium-sized enterprises (SMEs) were the backbone of economic growth and development. They still lack both the knowledge and decision-making to verify this high-stage technology’s performance and implementation. Therefore, the research aims to define the readiness indicators to assess and support SMEs toward Industry 4.0. The research begins with found aspects that influence the SME 4.0 readiness by using Bibliometric techniques. The result shows the aspects which were the most occurrences such as the Industrial Internet, Cloud Manufacturing, Collaborative Robot, Business Model, and Digital Transformation. They were then grouped into five dimensions by using the visualization of similarities (VOS) techniques: (1) Organizational Resilience, (2) Infrastructure System, (3) Manufacturing System, (4) Data Transformation, and (5) Digital Technology. Cronbach’s alpha then validated the composite dimensions at a 0.926 level of reliability and a significant positive correlation. After that, the indicators were defined from the dimension and aspects approach. Finally, the indicators were pilot tested by small enterprises. It appeared that 23 indicators could support SMEs 4.0 readiness indication and decision-making in the context of Industry 4.0.

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.

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