scholarly journals UNCERTAINTY IN THE SPHERE OF THE INDUSTRY 4.0 – POTENTIAL AREAS TO RESEARCH

2016 ◽  
Vol 14 (2) ◽  
pp. 275-291 ◽  
Author(s):  
Andrzej MAGRUK
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Driving Forces ◽  
Web Based ◽  
Physical Systems ◽  
Different Dimensions ◽  
High Level ◽  
Smart Factories ◽  
Great Complexity ◽  
Means Of Production

The world stands on the threshold of a new age of technology, which will launch a fourth industrial revolution (Industry 4.0). According to this idea, web-based network will support smart factories at every stage of the work on the product, from design through to servicing and recycling. It is a vision of a world in which the real environment connects to the digital one using follows driving forces: Internet of things, cloud computing, big data, cyber-physical systems, and others. The Industry 4.0 concept is based on developing smart chains preparation based on communicating with each other means of production, products, components, plants, humans. Established in Germany, the concept of Industry 4.0, is the brainchild – its beginning reaches 2011. It is therefore fraught with high level of uncertainty in many aspects (economic, social, technological, legal, etc.). The main aim of this article is to analyze different dimensions of uncertainty regarding the Industry 4.0, both in terms of opportunities and threats. Due to the freshness of the topic and the great complexity of the Industry 4.0 phenomenon, the main aim of the article is to identify potential areas requiring the necessary research in order minimizing negative – today uncertain – effects occurring in both the design concept Industry 4.0 as well as during its functioning.

scholarly journals Developing of Industry 4.0 Applications

2017 ◽  
Vol 13 (10) ◽  
pp. 30 ◽  
Author(s):  
Juan David Contreras ◽  
Jose Isidro Garcia ◽  
Juan David Diaz
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Industrial Revolution ◽  
Intelligent Manufacturing ◽  
Reference Architecture ◽  
Physical Systems ◽  
Architecture Model ◽  
Smart Factories ◽  
Correct Implementation

<p class="0papertitle">The fourth industrial revolution or industry 4.0 has become a trend topic nowadays, this standard-based strategy integrates Smart Factories, Cyber-physical systems, Internet of Things, and Internet of Service with the aim of extended the capacities of the manufacturing systems. Although several authors have presented the advantages of this approach, few papers refer to an architecture that allows the correct implementation of industry 4.0 applications using the guidelines of the reference architecture model (RAMI 4.0). In this way, this article exposes the essential characteristics that allow a manufacturing system to be retrofitting as a correct industry 4.0 application. Specifically, an intelligent manufacturing system under a holonic approach was developed and implemented using standards like FDI, AutomationML and OPC UA according to the RAMI 4.0</p>

scholarly journals AOSR 2.0: A Novel Approach and Thorough Validation of an Agent-Oriented Storage and Retrieval WMS Planner for SMEs, under Industry 4.0

2021 ◽  
Vol 13 (6) ◽  
pp. 155
Author(s):  
Fareed Ud Din ◽  
David Paul ◽  
Joe Ryan ◽  
Frans Henskens ◽  
Mark Wallis
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Performance Metrics ◽  
Test Cases ◽  
Physical Systems ◽  
Storage And Retrieval ◽  
Novel Approach ◽  
Improved Performance ◽  
High Level ◽  
The Internet Of Things

The Fourth Industrial Revolution (Industry 4.0), with the help of cyber-physical systems (CPS), the Internet of Things (IoT), and Artificial Intelligence (AI), is transforming the way industrial setups are designed. Recent literature has provided insight about large firms gaining benefits from Industry 4.0, but many of these benefits do not translate to SMEs. The agent-oriented smart factory (AOSF) framework provides a solution to help bridge the gap between Industry 4.0 frameworks and SME-oriented setups by providing a general and high-level supply chain (SC) framework and an associated agent-oriented storage and retrieval (AOSR)-based warehouse management strategy. This paper presents the extended heuristics of the AOSR algorithm and details how it improves the performance efficiency in an SME-oriented warehouse. A detailed discussion on the thorough validation via scenario-based experimentation and test cases explain how AOSR yielded 60–148% improved performance metrics in certain key areas of a warehouse.

Industry 4.0 initiatives in EU countries: experience for Ukraine

2020 ◽  
pp. 65-70
Author(s):  
Nataliya Ryvak ◽  
Anna Kernytska
Keyword(s):  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
Successful Implementation ◽  
Industrial Complex ◽  
Interconnected System ◽  
Industrial Transformation ◽  
Eu Countries ◽  
European Experience ◽  
High Level

In this paper, digital technologies development was analyzed as the basis for the so-called “fourth industrial revolution” with the potential for the qualitative transformation of the Ukrainian economy based on EU countries’ experience. Industry 4.0 is a new control chain over the entire chain of creating value throughout the product lifecycle. When developing an economic policy, it is important to pay attention to Industry 4.0. It increases productivity, produces new, better, and individualized products, and implements new business models based on “undermining” innovations. A comparative analysis of national initiatives I4.0 with their characteristics according to the main dimensions, including funding, focus, direction, was conducted. Particular attention was paid to considering deterrents to the successful implementation and enforcement of the I4.0 initiative in European countries. The factors of successful implementation of I4.0 initiatives in the EU countries were analyzed. Drawing on the analysis of the European experience of digital transformations in industry and national economies in general, the necessity of critical focus of such transformations in Ukraine was highlighted, and the need for state support of industrial transformation was substantiated. The emphasis was placed on the cooperation development between stakeholders within the implementation of Industry 4.0 – it is necessary to create national and regional 4.0 platforms, following the example of EU countries, which would bring together government institutions, businesses, and academics. The successful positioning of the Ukrainian modern industrial complex on the world markets depends on the high level of the interconnected system providing factors that characterize its development process. Considering the influence of a list of inhibiting factors on implementing the country’s industry accelerated development, a set of measures needed to transform Ukraine’s industry based on European experience was substantiated.

scholarly journals Effects of Industry 4.0 on the Labor Markets of Iran and Japan

Economies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 39 ◽  
Author(s):  
Majid Ziaei Nafchi ◽  
Hana Mohelská
Keyword(s):  
Labor Markets ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Developed Countries ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Science Technology ◽  
Levels Of Automation ◽  
Technology And Economy ◽  
The Impact

Industry 4.0 is the essence of the fourth Industrial revolution and is happening right now in manufacturing by using cyber-physical systems (CPS) to reach high levels of automation. Industry 4.0 is especially beneficial in highly developed countries in terms of competitive advantage, but causes unemployment because of high levels of automation. The aim of this paper is to find out if the impact of adopting Industry 4.0 on the labor markets of Iran and Japan would be the same, and to make analysis to find out whether this change is possible for Iran and Japan with their current infrastructures, economy, and policies. With the present situation of Iran in science, technology, and economy, it will be years before Iran could, or better say should, implement Industry 4.0. Japan is able to adopt Industry 4.0 much earlier than Iran and with less challenges ahead; this does not mean that the Japanese labor market would not be affected by this change but it means that those effects would not cause as many difficulties as they would for Iran.

scholarly journals How connectivity and search for producers impact production in Industry 4.0 networks

2018 ◽  
Vol 15 (4) ◽  
pp. 528-534
Author(s):  
Adriano Pereira ◽  
Eugênio De Oliveira Simonetto ◽  
Goran Putnik ◽  
Helio Cristiano Gomes Alves de Castro
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cyber Physical Systems ◽  
Average Degree ◽  
Collaborative Networks ◽  
Production Network ◽  
Simulation Environment ◽  
Physical Systems ◽  
Study Results ◽  
The Internet Of Things

Technological evolutions lead to changes in production processes; the Fourth Industrial Revolution has been called Industry 4.0, as it integrates Cyber-Physical Systems and the Internet of Things into supply chains. Large complex networks are the core structure of Industry 4.0: any node in a network can demand a task, which can be answered by one node or a set of them, collaboratively, when they are connected. In this paper, the aim is to verify how (i) network's connectivity (average degree) and (ii) the number of levels covered in nodes search impacts the total of production tasks completely performed in the network. To achieve the goal of this paper, two hypotheses were formulated and tested in a computer simulation environment developed based on a modeling and simulation study. Results showed that the higher the network's average degree is (their nodes are more connected), the greater are the number of tasks performed; in addition, generally, the greater are the levels defined in the search for nodes, the more tasks are completely executed. This paper's main limitations are related to the simulation process, which led to a simplification of production process. The results found can be applied in several Industry 4.0 networks, such as additive manufacturing and collaborative networks, and this paper is original due to the use of simulation to test this kind of hypotheses in an Industry 4.0 production network.

scholarly journals Intelligent cyber-social ecosystem of Industry 5.0: definition, essence, model

2021 ◽  
pp. 39-62
Author(s):  
Aleksandr V. Babkin ◽  
◽  
Elena V. Shkarupeta ◽  
Vladimir A. Plotnikov ◽  
◽  
...  
Keyword(s):  
Conceptual Model ◽  
Industry 4.0 ◽  
Systems Science ◽  
Quadruple Helix ◽  
Economic Science ◽  
German Industry ◽  
Industrial Evolution ◽  
Physical Systems ◽  
High Level ◽  
Cognitive Transition

Ten years after the first introduction of Industry 4.0 at Hannover trade fair as a concept of German industry efficiency improvement, the European Commission announced a new industrial evolution – Industry 5.0 and revealed an updated representation of Industry 5.0 as a result of attaining of triad forming stability, human-centricity and industry viability. At the nexus of the fourth and fifth phases of industry evolutions, new objects arise – intelligent cyber-social ecosystems that use the strengths of cyber-physical ecosystems, changing under the influence of digital end-to-end technologies, combined with human and artificial intelligence. The purpose of this research is to present a conceptual model of an intelligent (“smart”) cyber-social ecosystem based on multimodal hyperspace within the conditions of Industry 5.0. The research methodology includes systems science, metasystemic, ecosystemic, value-based, cyber-socio-techno-cognitive approaches; concepts of platforms, creator economy, Open innovations 2.0 based on an innovative model of a quadruple helix. As a result of this research, the evolution of the establishment and development of an ecosystemic paradigm in economic science is shown. The study describes a cognitive transition from cyber-physical systems of Industry 4.0 to intelligent cyber-social ecosystems as objects of Industry 5.0. A conceptual model has been originated, in which a cyber-social ecosystem is introduced as an ecosystem of new metalevel (“metasystem”), evolving under the conditions of the transition from Industry 4.0 to Industry 5.0 based on cyber-social values of human-centricity, stability and viability. The model is notable for its high level of cybernetic hyperconvergence, socioecosystemic, technological and cognitive modality to achieve ethical social goals, sustainable welfare for all humanity and each individual person, taking into account the scope of planetary capacity.

scholarly journals Analysis of Uncertainties and Levels of Foreknowledge in Relation to Major Features of Emerging Technologies—The Context of Foresight Research for the Fourth Industrial Revolution

2021 ◽  
Vol 13 (17) ◽  
pp. 9890
Author(s):  
Andrzej Magruk
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Emerging Technologies ◽  
Research Question ◽  
Conceptual Modeling ◽  
Research Area ◽  
Research Approach ◽  
Main Research ◽  
Intuitive Method ◽  
High Level

One of the key roles in the development of Industry 4.0 systems is played by “emerging technologies” as new tools with promising—though with a high level of uncertainty—capabilities. The management of such systems should be based on a comprehensive—future-oriented—research approach. Such activities are enabled by the foresight methodology. The main purpose of this publication is to attempt to answer the following research question: “What levels of foreknowledge and knowledge in the context of the development of emerging technologies—in relation to their features in Industry 4.0—should be taken into account during the analysis of uncertainties in the sense of foresight research based on different anticipated options?” In detail, the examination covered the relationship of classes of research foresight methods with regard to types of future, scopes of uncertainty, cycles of knowledge and original levels of foreknowledge in the field of the development of emerging technologies in Industry 4.0. Emerging technologies combined with the research on foreknowledge and uncertainties is an interesting research area with many theoretical and practical potential implications. The study uses the results of the analysis and criticism of the literature, mental experiments, and the intuitive method as the main research methods. This provides a basis for performing conceptual modeling.

scholarly journals New Developments in Cyber Physical Systems, the Internet of Things and the Digital Economy – Discussion on Future Developments in the Industrial Internet of Things and Industry 4.0

2019 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Jason R.C. Nurse ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cyber Physical Systems ◽  
Digital Economy ◽  
Industrial Internet Of Things ◽  
New Developments ◽  
Physical Systems ◽  
Fourth Industrial Revolution ◽  
Industrial Internet

The world is currently experiencing the fourth industrial revolution driven by the newest wave of digitisation in the manufacturing sector. The term Industry 4.0 (I4.0) represents at the same time: a paradigm shift in industrial production, a generic designation for sets of strategic initiatives to boost national industries, a technical term to relate to new emerging business assets, processes and services, and a brand to mark a very particular historical and social period. I4.0 is also referred to as Industrie 4.0 the New Industrial France, the Industrial Internet, the Fourth Industrial Revolution and the digital economy. These terms are used interchangeably in this text. The aim of this article is to discuss major developments in this space in relation to the integration of new developments of IoT and cyber physical systems in the digital economy, to better understand cyber risks and economic value and risk impact. The objective of the paper is to map the current evolution and its associated cyber risks for the digital economy sector and to discuss the future developments in the Industrial Internet of Things and Industry 4.0.

scholarly journals Urgency of “industry 4.0” concept introduction in modern mechanical engineering

2016 ◽  
Vol 1 (7) ◽  
pp. 45-48 ◽  
Author(s):  
Александр Ингеманссон ◽  
Aleksandr Ingemansson
Keyword(s):  
Industry 4.0 ◽  
Mechanical Engineering ◽  
Industrial Revolution ◽  
Engineering Management ◽  
Cyber Physical Systems ◽  
Basic Principles ◽  
Physical Systems ◽  
Technological Control ◽  
Efficiency Increase ◽  
Software And Hardware

The contents of the “Industry 4.0” concept are revealed. The basic principles of “Industry 4.0” concepts, “Internet things” and the contents of the so-called the “Fourth industrial revolution” are described. The promising trend in mechanical engineering due to the creation and integration of cyber-physical systems including technological, control, transport and other equipment is characterized. The review of current software and hardware tools for efficiency increase in mechanical engineering management of – MES-, APS-, SCADA-, MDC- systems. The purposeful trends and criteria of efficiency estimate in the introduction of cyber-physical systems for the realization of the “Industry 4.0” concept in mechanical engineering are characterized.

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