scholarly journals Organizational efficiency prospects for management in Industry 4.0

2021 ◽  
Vol 49 (4) ◽  
pp. 773-783
Author(s):  
Pedro Pinheiro ◽  
Goran Putnik
Keyword(s):  
Industry 4.0 ◽  
Hierarchical Structures ◽  
Social Needs ◽  
Cultural Dimensions ◽  
Span Of Control ◽  
Physical Systems ◽  
Technological Advances ◽  
History Of ◽  
Social Environmental ◽  
The Internet Of Things

Industry 4.0 emerges as a tool to help organizations manage. Often identified with the Internet of Things and Cyber-Physical Systems, Industry 4.0 appears as a solution to many of the difficulties plaguing manufacturing. The history of management theories, e.g. by Taylor, Fayol, or Simon, shows that deterministic solutions do not ensure the permanent success of organizations. In manufacturing, the economy overlaps the technological, social, environmental, and cultural dimensions that influence organizations. This paper assesses the possible benefits for the efficiency of the organizations resulting from the implementation of Industry 4.0. To fulfill this purpose, the effects on the hierarchical structures of organizations are investigated, namely those related to specialization, authority, and span of control. The results show that technological advances and efficiency of industry 4.0, which are relevant for the economy, still do not respond satisfactorily to social needs that require changes in the behavior of the management system.

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 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.

Exploring contributions of drones towards Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohd Javaid ◽  
Ibrahim Haleem Khan ◽  
Ravi Pratap Singh ◽  
Shanay Rab ◽  
Rajiv Suman
Keyword(s):  
Industry 4.0 ◽  
Economic Benefits ◽  
Sprinkler System ◽  
Transportation Engineering ◽  
Content Type ◽  
News Stories ◽  
Technological Advances ◽  
Operations And Maintenance ◽  
Energy Transportation ◽  
The Internet Of Things

Purpose Unmanned aerial vehicles are commonly known as UAVs and drones. Nowadays, industries have begun to realise the operational and economic benefits of drone-enabled tasks. The Internet of Things (IoT), Big Data, drones, etc., represent implementable advanced technologies intended to accomplish Industry 4.0. The purpose of this study is to discuss the significant contributions of drones for Industry 4.0. Design/methodology/approach Nowadays, drones are used for inspections, mapping and surveying in difficult or hazardous locations. For writing this paper, relevant research papers on drone for Industry 4.0 are identified from various research platforms such as Scopus, Google Scholar, ResearchGate and ScienceDirect. Given the enormous extent of the topic, this work analyses many papers, reports and news stories in an attempt to comprehend and clarify Industry 4.0. Findings Drones are being implemented in manufacturing, entertainment industries (cinematography, etc.) and machinery across the world. Thermal-imaging devices attached to drones can detect variable heat levels emanating from a facility, trigger the sprinkler system and inform emergency authorities. Due partly to their utility and adaptability in industrial areas such as energy, transportation, engineering and more, autonomous drones significantly impact Industry 4.0. This paper discusses drones and their types. Several technological advances and primary extents of drones for Industry 4.0 are diagrammatically elaborated. Further, the authors identified and discussed 19 major applications of drones for Industry 4.0. Originality/value This paper’s originality lies in its discussion and exploration of the capabilities of drones for Industry 4.0, especially in manufacturing organisations. In addition to improving efficiency and site productivity, drones can easily undertake routine inspections and check streamlines operations and maintenance procedures. This work contributes to creating a common foundation for comprehending Industry 4.0 outcomes from many disciplinary viewpoints, allowing for more research and development for industrial innovation and technological progress.

Information Processing in Work Environment 4.0 and the Beneficial Impact of Intentional Forgetting on Change Management

2020 ◽  
Vol 64 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Arnulf Sebastian Schüffler ◽  
Christof Thim ◽  
Jennifer Haase ◽  
Norbert Gronau ◽  
Annette Kluge
Keyword(s):  
Work Environment ◽  
Industry 4.0 ◽  
Experimental Approach ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
Intentional Forgetting ◽  
Beneficial Impact ◽  
The Internet Of Things

Abstract. Industry 4.0, based on increasingly progressive digitalization, is a global phenomenon that affects every part of our work. The Internet of Things (IoT) is pushing the process of automation, culminating in the total autonomy of cyber-physical systems. This process is accompanied by a massive amount of data, information, and new dimensions of flexibility. As the amount of available data increases, their specific timeliness decreases. Mastering Industry 4.0 requires humans to master the new dimensions of information and to adapt to relevant ongoing changes. Intentional forgetting can make a difference in this context, as it discards nonprevailing information and actions in favor of prevailing ones. Intentional forgetting is the basis of any adaptation to change, as it ensures that nonprevailing memory items are not retrieved while prevailing ones are retained. This study presents a novel experimental approach that was introduced in a learning factory (the Research and Application Center Industry 4.0) to investigate intentional forgetting as it applies to production routines. In the first experiment ( N = 18), in which the participants collectively performed 3046 routine related actions (t1 = 1402, t2 = 1644), the results showed that highly proceduralized actions were more difficult to forget than actions that were less well-learned. Additionally, we found that the quality of cues that trigger the execution of routine actions had no effect on the extent of intentional forgetting.

scholarly journals Lab-on-Spoon – a 3-D integrated hand-held multi-sensor system for low-cost food quality, safety, and processing monitoring in assisted-living systems

2015 ◽  
Vol 4 (1) ◽  
pp. 63-75 ◽  
Author(s):  
A. König ◽  
K. Thongpull
Keyword(s):  
Assisted Living ◽  
Industry 4.0 ◽  
Ambient Intelligence ◽  
Sensory Feedback ◽  
Low Cost ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Front End ◽  
Future Work ◽  
The Internet Of Things

Abstract. Distributed integrated sensory systems enjoy increasing impact leveraged by the surging advance of sensor, communication, and integration technology in, e.g., the Internet of Things, cyber-physical systems, Industry 4.0, and ambient intelligence/assisted-living applications. Smart kitchens and "white goods" in general have become an active field of R&D. The goal of our research is to provide assistance for unskilled or challenged consumers by efficient sensory feedback or context on ingredient quality and cooking step results, which explicitly includes decay and contamination detection. As one front end of such a culinary-assistance system, an integrated, multi-sensor, low-cost, autonomous, smart spoon device, denoted as Lab-on-Spoon (LoS), has been conceived. The first realized instance presented here features temperature, color, and impedance spectroscopy sensing in a 3-D-printed spoon package. Acquired LoS data are subject to sensor fusion and decision making on the host system. LoS was successfully applied to liquid ingredient recognition and quality assessment, including contamination detection, in several applications, e.g., for glycerol detection in wine. In future work, improvement to sensors, electronics, and algorithms will be pursued to achieve an even more robust, dependable and self-sufficient LoS system.

scholarly journals The contribution of Industry 4.0 technologies to facility management

2021 ◽  
Vol 13 ◽  
pp. 184797902110241
Author(s):  
G Nota ◽  
D Peluso ◽  
A Toro Lazo
Keyword(s):  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Facility Management ◽  
Management Model ◽  
Industrial Facility ◽  
Economic Implications ◽  
Physical Systems ◽  
Material Resources ◽  
Environmental Interests ◽  
The Internet Of Things

Facility management is an evolving discipline that has received attention from both professionals and researchers in recent years. Modern facility management considers various interests related to material resources, and among others, social and environmental interests. An important opportunity for the improvement of this discipline derives from the introduction of Industry 4.0 technologies for the management of material resources. In this paper, we shall study the problem of industrial facility management, an area with important economic implications. Starting from a facility management model for the maintenance of industrial assets, we develop a general approach to maintenance based on the Internet of Things and Cyber-Physical Systems, which allows us to reason about the implementation of an effective Organisational Facility Management Unit. The objective is the continuous improvement of maintenance activities, from which also derives the improvement of the production process performance.

scholarly journals Modern technologies in Industry 4.0 – cyber-physical systems

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Anna Smyshlyaeva ◽  
Kseniya Reznikova ◽  
Denis Savchenko
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
Level Data ◽  
The Internet Of Things ◽  
Modern Technologies

With the advent of the Industry 4.0 concept, the approach to production automation has fundamentally changed. The manufacturing industry is based on such modern technologies as the Internet of Things, Big Data, cloud computing, artificial intelligence and cyber-physical systems. These technologies have proven themselves not only in industry, but also in various other branches of life. In this paper, the authors consider the concept of cyber-physical systems – systems based on the interaction of physical processes with computational ones. The article presents a conceptual model of cyber-physical systems that displays its elements and their interaction. In cyber-physical systems, it represents five levels: physical, network, data storage, processing and analytics level, application level. Cyber-physical systems carry out their work using a basic set of technologies: the Internet of things, big data and cloud computing. Additional technologies are used depending on the purpose of the system. At the physical level, data is collected from physical devices. With the help of the Internet of Things at the network level, data is transferred to a data warehouse for further processing or processed almost immediately thanks to cloud computing. The amount of data in cyber-physical systems is enormous, so it is necessary to use big data technology and effective methods for processing and analyzing this data. The main feature of this technological complex is real-time operation. Despite the improvement in the quality of production and human life, cyber-physical systems have a number of disadvantages. The authors highlight the main problems of cyber-physical systems and promising areas of research for their development. Having solved the listed problems, cyber-physical systems will reach a qualitatively new level of utility. The paper also provides examples of the implementation of concepts such as a smart city, smart grid, smart manufacturing, smart house. These concepts are based on the principle of cyber-physical systems.

scholarly journals Smart SMEs 4.0 Maturity Model to Evaluate the Readiness of SMEs Implementing Industry 4.0

2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Nilubon Chonsawat ◽  
Apichat Sopadang
Keyword(s):  
Industry 4.0 ◽  
Production Systems ◽  
Advanced Technology ◽  
Smart Manufacturing ◽  
Advanced Manufacturing ◽  
Maturity Model ◽  
Five Dimensions ◽  
Physical Systems ◽  
Increase Productivity ◽  
The Internet Of Things

In the Industry 4.0 revolution, advanced manufacturing capabilities integrate technology and data to create intelligent production systems, such as automation, cloud computing, the Internet of Things and cyber-physical systems. Small and medium-sized enterprises, which are the backbone of economic growth, especially must apply the advanced technology in their business and operations so as to increase productivity. This paper empirically proposes the Smart SMEs 4.0 maturity model and its implementation for assessing the readiness of an organisation to enter the realm of smart manufacturing. The model is categorised into five dimensions as well as 43 sub-dimensions for evaluating SMEs 4.0 maturity. These dimensions are mainly composed of “manufacturing and operations”, “people capability”, “technology-driven process”, “digital support” and “business and organisation strategies”. Moreover, the model is implemented in two case studies for two companies in Thailand. The results imply that the model can evaluate an organisation’s readiness and also can guide companies to implement the Smart SMEs 4.0 efficiently.

scholarly journals Application of cognitive technologies for the formation of speech dialogue management models

2019 ◽  
Vol 23 (6) ◽  
pp. 13-21 ◽  
Author(s):  
A. A. Solodov ◽  
Т. G. Trembach
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Cyber Physical Systems ◽  
Cognitive Mechanisms ◽  
Dialogue Management ◽  
Physical Systems ◽  
Management Models ◽  
Mental Operations ◽  
Voice Dialogue ◽  
The Internet Of Things

Purpose of research.  The aim of the study is the use of cognitive technologies for the formation of speech dialogue management models. At present, for the development of the Internet of things, the expansion of communicative opportunities for their interaction, it is important to improve speech dialogue management models in many areas. The need for dialogue can arise between cyber-physical systems, between a person and cyber-physical systems, between users, developers, and administrators. The speech dialogue management models covers many issues related to processing a speech signal, semantic analysis, understanding the meaning of speech, using cognitive mechanisms for interaction, and some others. A special place among them is occupied by the problem of building a speech dialogue between users, developers, and cyberphysical systems. This article is devoted to the consideration of the use of speech dialogue management models of intelligent systems, as well as users, developers, administrators.Materials and methods of research.  New approaches and methods are required to solve the problems within the framework of the Industry 4.0. The industry 4.0 concept represents a variety of technologies, including the creation of cyber-physical systems, a variety of different protocols for their interaction. One of its main directions is the Internet of things. Cognitive mechanisms associated with the formation and application of concrete sensory images, concepts-representations, concepts-frames are used to solve the problems of model formation. To form the abilities and speech skills for the communicative activities of the participants of the interaction within the framework of the Industry 4.0 concept, the methods associated with mastering foreign language technologies were used. The ultimate goal of their use is to achieve the ability to master spontaneous speech in both everyday and professional situations. Mastering a foreign language involves the use of cognitive technologies, which allows you to develop the structure of mental operations.Results.  Some features of the formation of a voice dialogue management model for intelligent systems and the preparation of interaction participants in the framework of the concept — users, developers, and industrial system administrators  –  are considered. The application of cognitive mechanisms for organizing and using the model of speech dialogue management is shown. The use of conceptual representations and scripting concepts in intelligent systems allows us to develop the structure of the world model. The application of cognitive mechanisms for training interaction participants, within the framework of the Industry 4.0 concept, improves their training by improving understanding of the material being studied by building logical connections and a mental model of the material. Using concepts allows you to build mental models of your own thoughts. At the end of all mental operations, participants in the interaction acquire the ability to form speech dialogue management models.Conclusion.  The use of cognitive technologies makes it possible, both for intelligent systems and for interaction participants, to use generalized static structures of concepts, situations, and dynamic structures for real and mental operations. The active use of such structures makes it possible to better understand the current situation and successfully formulate and use voice dialogue management models for solving problems arising during the development of the Industry 4.0 concept.

scholarly journals Adaptation of the Engineering Curriculum in the Age of Industry 4.0

2019 ◽  
Vol 1 (1) ◽  
pp. 113-123
Author(s):  
Serendra Reddy
Keyword(s):  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Bachelor's Degree ◽  
Higher Learning ◽  
Engineering Curriculum ◽  
Physical Systems ◽  
Electronic Engineering ◽  
Engineering Degree ◽  
University Of Technology ◽  
The Internet Of Things

AbstractWith the rapid proliferation of Industry 4.0 across the globe there is an immediate need for institutes of higher learning to adapt their curriculums, especially in the fields of engineering and IT, in order to ensure relevance to both industry and society. Industry 4.0 is synonymous with cyber-physical systems, AI and the internet of things and requires a knowledgeable workforce that are both inter- and multi-disciplinary skilled. This paper proposes a framework for a three- or four-year electronic engineering degree that aligns itself with the needs of Industry 4.0. The framework is comprised of three core pillars and provides a roadmap for the adaptations required in the curriculum, practical work and competency components of the qualification. In addition to knowledge attributes we also discuss the notion of graduate attributes as well the assessment of these outcomes. A three-year bachelor’s degree in electronic engineering that applies this framework is currently being offered at the Durban University of Technology, South Africa.

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