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 The Intelligent Space Modeled as a Cyber-Physical System

2019 ◽  
Vol 6 (1.) ◽  
Author(s):  
Csaba Szász
Keyword(s):  
Industry 4.0 ◽  
Technological Development ◽  
Main Idea ◽  
General Rule ◽  
Building Blocks ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Intelligent Space ◽  
High Level ◽  
Cps Model

According to a general rule definition, the intelligent space (iSpace) is defined as a location (or space) provided with electronic sensor networks that enable the considered environment with intelligent behaviors. As a result, the considered space will be able to perceive stimulus around them and to understand events that happen its near surrounding. Cyber-physical systems (CPSs) are building blocks in Industry 4.0 that links digital technology and the physical environment in an industrial context. They combine intelligent physical objects and systems on a high level of functions integration. This paper emphasizes the main idea that intelligent spaces may be also modeled as complex cyber-physical systems, as well. This approach has been developed by discussing the theoretical basis of both the iSpaces and CPSs, respectively unfolding a short comparison between their basic behaviors. As a concrete example, the CPS model of a given iSpace framework is presented and discussed widely in the paper. This model has been experimented by using a Field Programmable Gate Array (FPGA) processor-based ready-to-use development systems and software technologies that handles reconfigurable hardware technology. The implementation proves that the developed CPS model is well feasible and expresses in all the main behaviors and functions of iSpaces. It is also mentioned that the actual stage of the technological development terms and scientific areas related to iSpaces and CPSs overlaps. In fact, this is not surprising at all by considering nowadays evidence that iSpaces are widely present and shared components in modern manufactory processes that are an inherent part of Industry 4.0 vision and reality.

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.

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.

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 The challenges, approaches, and used techniques of CPS for manufacturing in Industry 4.0: a literature review

2021 ◽  
Vol 113 (7-8) ◽  
pp. 2395-2412
Author(s):  
Baudouin Dafflon ◽  
Nejib Moalla ◽  
Yacine Ouzrout
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Review Literature ◽  
Comprehensive Understanding ◽  
Physical Systems ◽  
Fine Grained ◽  
Key Technologies ◽  
Granularity Level ◽  
Human Component

AbstractThis work aims to review literature related to the latest cyber-physical systems (CPS) for manufacturing in the revolutionary Industry 4.0 for a comprehensive understanding of the challenges, approaches, and used techniques in this domain. Different published studies on CPS for manufacturing in Industry 4.0 paradigms through 2010 to 2019 were searched and summarized. We, then, analyzed the studies at a different granularity level inspecting the title, abstract, and full text to include in the prospective study list. Out of 626 primarily extracted relevant articles, we scrutinized 78 articles as the prospective studies on CPS for manufacturing in Industry 4.0. First, we analyzed the articles’ context to identify the major components along with their associated fine-grained constituents of Industry 4.0. Then, we reviewed different studies through a number of synthesized matrices to narrate the challenges, approaches, and used techniques as the key-enablers of the CPS for manufacturing in Industry 4.0. Although the key technologies of Industry 4.0 are the CPS, Internet of Things (IoT), and Internet of Services (IoS), the human component (HC), cyber component (CC), physical component (PC), and their HC-CC, CC-PC, and HC-PC interfaces need to be standardized to achieve the success of Industry 4.0.

scholarly journals Artificial Intelligence and the Internet of Things in Industry 4.0

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Leading Industry ◽  
Key Technologies ◽  
The Internet Of Things ◽  
State Of Art ◽  
Social Level

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

scholarly journals Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 487 ◽  
Author(s):  
Mahmoud Elsisi ◽  
Karar Mahmoud ◽  
Matti Lehtonen ◽  
Mohamed M. F. Darwish
Keyword(s):  
Machine Learning ◽  
Smart Grids ◽  
Industry 4.0 ◽  
Learning Algorithm ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Smart Meters ◽  
Industrial Environment ◽  
Physical Systems ◽  
Smart Machines

The modern control infrastructure that manages and monitors the communication between the smart machines represents the most effective way to increase the efficiency of the industrial environment, such as smart grids. The cyber-physical systems utilize the embedded software and internet to connect and control the smart machines that are addressed by the internet of things (IoT). These cyber-physical systems are the basis of the fourth industrial revolution which is indexed by industry 4.0. In particular, industry 4.0 relies heavily on the IoT and smart sensors such as smart energy meters. The reliability and security represent the main challenges that face the industry 4.0 implementation. This paper introduces a new infrastructure based on machine learning to analyze and monitor the output data of the smart meters to investigate if this data is real data or fake. The fake data are due to the hacking and the inefficient meters. The industrial environment affects the efficiency of the meters by temperature, humidity, and noise signals. Furthermore, the proposed infrastructure validates the amount of data loss via communication channels and the internet connection. The decision tree is utilized as an effective machine learning algorithm to carry out both regression and classification for the meters’ data. The data monitoring is carried based on the industrial digital twins’ platform. The proposed infrastructure results provide a reliable and effective industrial decision that enhances the investments in industry 4.0.

scholarly journals Introducing Gamification in the AR-Enhanced Order Picking Process: A Proposed Approach

Logistics ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 14
Author(s):  
Athina G. Bright ◽  
Stavros T. Ponis
Keyword(s):  
Industry 4.0 ◽  
Business Processes ◽  
Cyber Physical Systems ◽  
Order Picking ◽  
Physical Systems ◽  
The Core ◽  
Complex Process ◽  
Core Elements ◽  
Game Elements ◽  
Innovative Industry

In the last decade, the Industry 4.0 concept has introduced automation and cyber-physical systems as the core elements of future logistics, supported by an array of technologies, such as augmented reality (AR) providing the necessary support for the digital transformation of manufacturing and logistics and the smartification and digital refinement of traditional pre-Industry 4.0 processes. This paper studies the influence and the potential of gamification techniques in supporting innovative Industry 4.0-enhanced processes in the contemporary warehouse work ecosystem. Gamification in the workplace aims to motivate the employees and increase their involvement in an activity, while at the same time creating a sense of an everyday different experience rather than a set of repetitive and monotonous tasks. Since the design of such a system is a complex process, the most widespread design frameworks are studied, and the emphasis is on the principal game elements and their connection to mobilization mechanisms. Finally, an initial proposal of a gamification framework to support the AR-enhanced order picking process in contemporary logistics centers is provided with an emphasis on the mechanics of a fair and functional reward system. The proposed approach aims to showcase the potential alignment of business processes to human motivation, respecting the differences between tasks and the workers’ cognitive workload.

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