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    Wyświetlanie 1-14 z 14
    Tytuł:
    Designing the Competitive Intelligence Model for Organization
    Autorzy:
    Bartuś, Kamila
    Powiązania:
    https://bibliotekanauki.pl/articles/16728988.pdf
    Data publikacji:
    2023-05
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    competitive intelligence
    industrial organization
    resource-based view
    business model canvas
    competitive profile matrix and industrial critical success factors
    models of competitive intelligence
    Opis:
    Theoretical background: These studies are motivated by three reasons: (1) the Competitive Intelligence (CI) approach is a critical factor in increasing the organization’s ability to monitor and strengthen competitive advantage; (2) too little research has been done on the use of new management theories in the CI approach and (3) there is no research devoted to computer-assisted CI. Purpose of the article: This study proposes a comprehensive framework for extending the CI’s potential in the organization’s activities and its computer-assisted support. The purpose of this article is to develop a new CI construction theory and propose a holistic, conceptual CI model, as well as carry out its initial verification. Research methods: The comprehensive CI model is based on the following theories: (1) Resource-Based View (RBV), Industrial Organization (IO) and Business Model Canvas, which were used for CI design, (2) theories for measuring and validating CI implementation, i.e.: Competitive Profile Matrix (CPM), Industrial Critical Success Factors (ICSF) and (3) theories for integrated computer-assisted CI. The validation of the proposed comprehensive CI model was based on data on the opinions of SUV class users. Main findings: The results obtained during the validation of the CI model show great importance for a comprehensive look at the topic of computer-assisted CI. This contribution is significant because in the literature there are no such studies and conclusions obtained from them. The results obtained and conclusions should be useful for all organizations that need to analyze competitiveness using a comprehensive CI model.
    Źródło:
    Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia; 2023, 57, 1; 7-39
    0459-9586
    2449-8513
    Pojawia się w:
    Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Computer support for Competitive Intelligence
    Komputerowe wspomaganie Competitive Intelligence
    Autorzy:
    Bartuś, Kamil
    Powiązania:
    https://bibliotekanauki.pl/articles/1935284.pdf
    Data publikacji:
    2021
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    Competitive Intelligence
    Competitive Profile Matrix
    Business Model Canvas
    Resource Based View
    Industrial Organization
    Opis:
    The main aim of the article is to present a theoretically well-grounded discussion on Competitive Intelligence and its computing support. This article is an attempt to answer the following questions: (1) What is the idea of Competitive Intelligence and its computer support? (2) How to use the Competition Profile Matrix (CPM), Business Model Canvas (BMC), Resource Based View (RBV) and Industrial Organization (IO) in competition analysis? (3) What are their advantages for Computer Aided CI? The search for answers to these questions was conducted mainly on the basis of theoretical and empirical research. Streszczenie: Głównym celem artykułu jest przedstawienie teoretycznie dobrze ugruntowanej dyskusji na temat Competitive Intelligence i jego wspomagania komputerowego. Niniejszy artykuł jest próbą odpowiedzi na następujące pytania: (1) Jaka jest idea inteligencji konkurencyjnej i jej wspomagania komputerowego? (2) Jak wykorzystać macierz profili konkurencji (CPM), kanwę modelu biznesowego (BMC), widok oparty na zasobach (RBV) i organizację przemysłową (IO) w analizie konkurencji? (3) Jakie są ich zalety dla wspomaganej komputerowo CI? Poszukiwanie odpowiedzi na te pytania prowadzone było głównie na podstawie badań teoretycznych i empirycznych.
    Głównym celem artykułu jest przedstawienie teoretycznie dobrze ugruntowanej dyskusji na temat Competitive Intelligence i jego wspomagania komputerowego. Niniejszy artykuł jest próbą odpowiedzi na następujące pytania: (1) Jaka jest idea inteligencji konkurencyjnej i jej wspomagania komputerowego? (2) Jak wykorzystać macierz profili konkurencji (CPM), kanwę modelu biznesowego (BMC), widok oparty na zasobach (RBV) i organizację przemysłową (IO) w analizie konkurencji? (3) Jakie są ich zalety dla wspomaganej komputerowo CI? Poszukiwanie odpowiedzi na te pytania prowadzone było głównie na podstawie badań teoretycznych i empirycznych.
    Źródło:
    Informatyka Ekonomiczna; 2021, 2; 1-13
    1507-3858
    Pojawia się w:
    Informatyka Ekonomiczna
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of artificial intelligence and automation and robotisation of processes as factors influencing structural changes in employment in industrial production
    Autorzy:
    Sylpaczuk, Arkadiusz
    Żynda, Michał
    Powiązania:
    https://bibliotekanauki.pl/articles/970654.pdf
    Data publikacji:
    2019-03-31
    Wydawca:
    Uniwersytet Gdański. Wydział Ekonomiczny
    Tematy:
    labour productivity
    artificial intelligence
    robotization and automation
    Opis:
    Objective Determining impact which Artificial Intelligence, Robotization and Automation have and will continue to have on the labour market in the processing industry.   Method Literature review, statistical data and data from industry reports. Deduction and comparative analysis.  Results In the course of the work, a review of the literature on the subject was carried out and the issue of artificial intelligence, as well as robotization and automation of production was defined, and in addition, it has been demonstrated how important factor of production is labour. It presents examples of the use of artificial intelligence in the modern economy and presents the probability of replacing human work by artificial intelligence systems. Data from research reports and statistical analyses were used in the context of labour market analysis in industries and economies with the highest degree of automation and robotization. Conclusions were presented, which implement the set objective and are the basis for conducting research in the areas indicated by the authors.   In the course of work, we defined what the labour is, its productivity and measurement methods. Data from research reports were presented, showing the probability of changes in the labour market in relation to specific occupations, due to the use of artificial intelligence. The relationship between artificial intelligence and process automation and robotization is described. The above-mentioned studies allowed the authors to demonstrate some important relations between the described factors.   
    Źródło:
    Współczesna Gospodarka; 2019, 10, 1 (32); 9-20
    2082-677X
    Pojawia się w:
    Współczesna Gospodarka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Industrial Revolution 4.0 and its impact on the evolution of the firm’s organization and management
    Autorzy:
    Kora, Holta
    Beluli, Rajmonda
    Powiązania:
    https://bibliotekanauki.pl/articles/2152880.pdf
    Data publikacji:
    2022-12-22
    Wydawca:
    Wyższa Szkoła Gospodarki Euroregionalnej im. Alcide De Gasperi w Józefowie
    Tematy:
    fourth industrial revolution
    artificial intelligence
    decision making
    management
    human resource
    Opis:
    Fourth Industrial Revolution or Industry 4.0 refers to the evolution of industries, particularly in the manufacturing and chain production areas. Executive managerial decisions this industry have a substantial impact on technology, data management and analytics, data security, risk management, regulatory compliance, validation, and human resource practices, among other things. Artificial Intelligence, sensors, enterprise-level solution platforms, and Machine Learning will all be used extensively in the fourth industrial revolution. In industry 4.0, the volume of external and internal Internet of Things (IoT) data is expected to expand, resulting in a drastic shift in information. The IR4.0 will result in an abundance of data flowing to quality experts in real-time, and this data will come from various sources at the same time, necessitating intelligent utilization to enable quick and effective decision-making. Managers and quality control employees must make the necessary decisions to provide a smooth transition to digital technology, which will increase the efficiency and quality of manufactured goods and services. Companies will be required to employ effective risk management strategies as part of the fourth industrial revolution in order to improve product quality and operational efficiency by allowing machine learning and Artificial Intelligence to give the finest services. As a result, the risk management team must develop plans to ensure that these tactics are implemented properly. Furthermore, quality managers must ensure that Quality 4.0, which will coincide with the fourth industrial revolution, is implemented effectively. Previous research into how Industry 4.0 affects managerial decisions has been lacking and unsatisfactory. As a result, the article tries to provide a complete assessment of the fourth industrial revolution’s management implications.
    Źródło:
    Intercultural Communication; 2022, 7, 1; 115-125
    2451-0998
    Pojawia się w:
    Intercultural Communication
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Implementation of artificial intelligence tools to an industrial controller
    Autorzy:
    Simak, V.
    Hrbcek, J.
    Janota, A.
    Pirnik, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/393353.pdf
    Data publikacji:
    2014
    Wydawca:
    Polskie Stowarzyszenie Telematyki Transportu
    Tematy:
    PLC
    fuzzy
    control
    sterowanie
    Opis:
    This paper considers the issue of vertical position control of a ball placed on a disc. The aim of this work is to create a fuzzy logic controller able to manage the issue of ball and wheel. The second chapter describes the identification system. In the next chapter a Fuzzy controller is described. The last chapter is dedicated to results of implemented fuzzy controller. Most of control tasks in transport are non-linear. This application should help to apply a fuzzy control in such systems.
    Źródło:
    Archives of Transport System Telematics; 2014, 7, 3; 47-51
    1899-8208
    Pojawia się w:
    Archives of Transport System Telematics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Informational Support of Civilian Intelligence for Heavy Industry (Including Machine Industry) and the Energy Sector in the Polish People’s Republic in the Years 1970–1990
    Autorzy:
    Sikora, Mirosław
    Powiązania:
    https://bibliotekanauki.pl/articles/1390520.pdf
    Data publikacji:
    2019-06-06
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    scientific-technical intelligence
    industrial espionage
    Polska
    Cold War
    Comecon
    Opis:
    Throughout the existence of the Polish People’s Republic (PPR), its scientific and technical intelligence (S&TI) supported Polish mining, energy, metallurgy, and machine industries. Cooperation with companies and research and development centers intensified in the first half of the 1970s, as a natural consequence of the experience accumulated by the intelligence service in the previous fifteen years. The most crucial issues related to the improvement of secret methods of acquiring technologies for the Polish economy were defining the scope of the tasks, i.e. the types of technologies which can be acquired by intelligence or purchased in the black market, selecting objects, (i.e. institutions and organizations with the required knowledge), and recruiting personal sources of information in western facilities. Apart from acquiring specific solutions S&TI also developed analyses related to specific countries, as well as to specific technologies in the global aspect or to international corporations that possessed the technologies. Furthermore, S&TI was engaged by the Polish government to provide information to the Ministry of Foreign Affairs and the Ministry of International Trade during trade negotiations with foreign contractors. Author draws the history of Polish S&TI during the 70s and 80s, showcasing its operations, explaining its modus operandi and discussing the question about the efficiency of illicit transfer of know-how from OECD for the purposes technical progress in communist Poland. Article bases on recently declassified documents of Polish intelligence service from the pre-1990 period. There are moreover other archival records as well as secondary sources explored.
    Źródło:
    Studia Historiae Oeconomicae; 2018, 36; 143-173
    0081-6485
    Pojawia się w:
    Studia Historiae Oeconomicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Models in diagnostics of industrial processes
    Modele w diagnostyce procesów przemysłowych
    Autorzy:
    Kościelny, J. M.
    Bartyś, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/328535.pdf
    Data publikacji:
    2004
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    modelowanie
    diagnostyka procesów przemysłowych
    detekcja uszkodzeń
    lokalizacja uszkodzeń
    sztuczna inteligencja
    modelling
    diagnostics of industrial processes
    fault detection
    fault localization
    artificial intelligence
    soft computing
    Opis:
    In the paper, an overview and classification of modelling approaches used in diagnostics of industrial processes is presented. There are characterised the models used for fault detection and fault isolation. Main features of characterised models are underlined and particular attention was paid on the model practicability. Special attention was paid also on models making use of artificial intelligence and expert knowledge.
    W referacie przedstawiono przegląd i klasyfikację metod modelowania stosowanych w diagnostyce procesów przemysłowych. Przedstawiono zarówno modele wykorzystywane w procesie detekcji jak i lokalizacji uszkodzeń. Podano najważniejsze właściwości modeli, zwracając szczególną uwagę na aspekt ich zastosowań praktycznych. Zwrócono także uwagę na istotny walor aplikacyjności modeli bazujących na metodach sztucznej inteligencji i wiedzy eksperckiej.
    Źródło:
    Diagnostyka; 2004, 30, T. 1; 291-296
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Aquarium: augmented knowledge and wisdom in the age of the Fourth Industrial Revolution
    Autorzy:
    Paprocki, Wojciech
    Powiązania:
    https://bibliotekanauki.pl/articles/18723860.pdf
    Data publikacji:
    2019-07-30
    Wydawca:
    Szkoła Główna Handlowa w Warszawie. Kolegium Zarządzania i Finansów
    Tematy:
    cognitive process
    axiological system
    knowledge and wisdom
    digital technologies
    artificial intelligence
    Opis:
    The first two decades of the 21st century witnessed the emergence of technical and technological solutions that have enabled digital transformations in the global economy. Registration of unstructured data and bringing them together into large datasets have enriched the cognitive process comprising traditional generation of human knowledge and the digital transformation of data into information and then into industrial knowledge. As a result, we obtain augmented knowledge. Yet, robots and bots (i.e., a device which, unlike a robot, is not connected with mechanisms and other peripheral devices) fuelled by technologies collectively referred to as artificial intelligence, primarily by the machine learning technology, are not able to develop wisdom. That is because robots and bots operate only within two dimensions: perception and context, while a human being has his/her autonomous and subjectively defined axiological system, which shapes his/her capacity to make value judgements and generate wisdom. This system is the third dimension in the aquarium with the glass front wall and the remaining three walls carved in stone. It provides stability ensured by a solid foundation of an axiological system that is thousands of years old and has been approved by the entire global community. Subjectivity of value judgements made by individuals and social groups produces a great variety of assessments of available knowledge. That is evidenced, inter alia, by decisions about the use of nuclear energy or decisions regulating free access to personal data and interfering with private life.
    Źródło:
    Journal of Management and Financial Sciences; 2019, 36; 9-29
    1899-8968
    Pojawia się w:
    Journal of Management and Financial Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things
    Autorzy:
    Kliestik, Tomas
    Nica, Elvira
    Durana, Pavol
    Popescu, Gheorghe H.
    Powiązania:
    https://bibliotekanauki.pl/articles/39987975.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    artificial intelligence (AI)
    predictive maintenance (PM)
    Industrial Internet of Things (IIoT)
    time-sensitive networking (TSN)
    big data
    algorithmic decision-making
    Opis:
    Research background: The article explores the integration of Artificial Intelligence (AI) in predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses the increasing importance of leveraging advanced technologies to enhance maintenance practices in industrial settings. Purpose of the article: The primary objective of the article is to investigate and demonstrate the application of AI-driven PM in the IIoT. The authors aim to shed light on the potential benefits and implications of incorporating AI into maintenance strategies within industrial environments. Methods: The article employs a research methodology focused on the practical implementation of AI algorithms for PM. It involves the analysis of data from sensors and other sources within the IIoT ecosystem to present predictive models. The methods used in the study contribute to understanding the feasibility and effectiveness of AI-driven PM solutions. Findings & value added: The article presents significant findings regarding the impact of AI-driven PM on industrial operations. It discusses how the implementation of AI technologies contributes to increased efficiency. The added value of the research lies in providing insights into the transformative potential of AI within the IIoT for optimizing maintenance practices and improving overall industrial performance.
    Źródło:
    Oeconomia Copernicana; 2023, 14, 4; 1097-1138
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    IoT : review of critical issues
    Autorzy:
    Romaniuk, R. S.
    Powiązania:
    https://bibliotekanauki.pl/articles/226508.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Internet of Things
    IoT
    industrial IoT
    machine to machine communications
    industry 4.0
    IoT civilization
    artificial super-intelligence
    cyber-man
    future of work
    Opis:
    Science - research transformation of the Internet of Things (IoT) has a number of colours and shadows, many dimensions including technical, social, community, financial, economic and civilization. This transformation has many wide development roads but also numerable pitfalls and traps. It does not take place solely at the level of scientific and technical progress and innovation. It preliminarily takes place in a complex sociopolitical-economic context, narrowed for simplification as social acceptance and education only. Such acceptance, for example expressed simply by demand and market popularity, for simple items supplemented by useful functions, such as an iron that recognizes the type of fabric and matches its work accordingly, a completely autonomous vacuum cleaner, etc., is trivial. We aim at much deeper relations of IoT with society. If IoT were only adding such functionalities, it would not be worth the time to consider it here. IoT causes a lot of confusion for much more important reasons in many areas of life. Somewhere further on the potential paths of IoT development, it has been noted with interest, but also with anxiety, the possibility of its empowerment as local but also global, superintendent surveillance system, gathering enormous amounts of information, creating knowledge and making autonomous decisions. Potential subjectivity must include such attributes as acquiting from the creator, autonomy, consciousness, morality and further building by the society the whole legal system around the new entity. It will not be a single entity, it will be a whole virtual society, with electronic people. The consequences can be far-reaching and appear as an inevitable option on such a scale for the first time in the history of our human society. Overcoming certain barriers recognized by us may mean that the intelligence and consciousness are not only attributes of the human biological mind. Such reasoning, not without a reason, encounters strong resistance. However, there is a fundamental difference between the opposition to some genetic research and the potential modification of man himself, and the opposition to machine building, a system of superintendence that far exceeds the possibilities of a single man and of entire societies.
    Źródło:
    International Journal of Electronics and Telecommunications; 2018, 64, 1; 95-102
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cognitive technologies in the management and formation of directions of the priority development of industrial enterprises
    Autorzy:
    Kwilinski, Aleksy
    Kuzior, Aleksandra
    Powiązania:
    https://bibliotekanauki.pl/articles/410162.pdf
    Data publikacji:
    2020
    Wydawca:
    STE GROUP
    Tematy:
    enterprise management
    stochastic model
    artificial intelligence
    cognitive model
    perceptron
    neural network
    digital innovation
    economic effect
    Opis:
    The possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of "bottlenecks" in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.
    Źródło:
    Management Systems in Production Engineering; 2020, 2 (28); 133-138
    2299-0461
    Pojawia się w:
    Management Systems in Production Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sustainable Development of the Intelligent Industry from Industry 4.0 to Industry 5.0
    Autorzy:
    Majerník, Milan
    Daneshjo, Naqib
    Malega, Peter
    Drábik, Peter
    Barilová, Barbara
    Powiązania:
    https://bibliotekanauki.pl/articles/2181751.pdf
    Data publikacji:
    2022
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    industrial development
    artificial intelligence
    digitization
    sustainability
    environmental management
    sociability
    Industry 5.0
    worker well-being
    Opis:
    The current stage of socio-economic development is focused on ensuring prosperity by meeting the goals and intensifying the practices of the 4th generation smart industry. The ways and methods of advancement are being scientifically researched and specified, while at the same time revealing errors and weaknesses in the development so far, which are the potential for continuous increase of prosperity and sustainable production and consumption. From this point of view, the paper analyses and more accurately formulates the effects of smart industry 4.0 on the economy and society in a global sense. In the context of the new industry 5.0 development concept identifies significant progress in automation, robotization and digitization of imaginary processes supporting economic growth with obvious reserves and risks in the social field, as well as in relation to sustainable development and climate strategies, especially in the environmental field. In the article, the authors present the concept of models for intensification and transition from the developed implementation model for Industry 4.0 to the environment and concepts of Industry 5.0. Priorities for the development and innovation of the fourth generation smart industry within the fifth generation concept and possible synergy effects from human-robot-machine-environment cooperation, especially in the social field and in ensuring the well-being of workers in industry, are formulated in more detail. Submit your paper Instructions for Authors All issues Articles in press Share Send by email Indexes Keywords index
    Źródło:
    Advances in Science and Technology. Research Journal; 2022, 16, 2; 12--18
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Forth Industrial Revolution (4 IR): Digital Disruption of Cyber – Physical Systems
    Autorzy:
    Kasza, Joanna
    Powiązania:
    https://bibliotekanauki.pl/articles/1058063.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Forth Industrial Revolution (4IR)
    H2M (human to machine) communication
    Industrial Internet of Things (IIOT)
    Industry 4.0
    Internet of Things (IOT)
    M2H (machine to human)
    M2M (machine to machine)
    SMAC (social
    Smart Manufacturing
    analytics and cloud)
    artificial intelligence (AI)
    cyber-physical systems
    digital disruption (disruptive innovations)
    infosphere
    mobile
    pervasive computing
    philosophy of information
    semantic web
    symbiotic and ubiquitous web
    Opis:
    Article focus of the disruptive character of technological innovations brought by Fourth Industrial Revolution (4IR), with its unprecedented scale and scope, and exponential speed of incoming innovations, described from the point view of ‘unintended consequences’ (cross cutting impact of disruptive technologies across many sectors and aspects of human life). With integration of technology innovations emerging in number of fields including advanced robotics, pervasive computing, artificial intelligence, nano- and bio- technologies, additive and smart manufacturing, Forth Industrial Revolution introduce new ways in which technology becomes embedded not only within the society, economy and culture, but also within human body and mind (described by integration of technologies, collectively referred to as cyber-physical systems). At the forefront of digital transformation, based on cyber physical systems, stands Industry 4.0, referring to recent technological advances, where internet and supporting technologies (embedded systems) are serving as framework to integrate physical objects, human actors, intelligent machines, production lines and processes across organizational boundaries to form new kind of intelligent, networked value chain, called smart factory. Article presents broader context of ‘disruptive changes (innovations)’ accompanying 4IR, that embrace both economical perspective of ‘broader restructuring’ of modern economy and society (described in second part of the article as transition from second to third and forth industrial revolution), and technological perspective of computer and informational science with advances in pervasive computing, algorithms and artificial intelligence (described in third part of article with different stages of web development : web 1.0, web 2.0, web 3.0, web 4.0). What’s more important, article presents hardly ever described in literature, psychological and philosophical perspective, more or less subtle reconfiguration made under the influence of these technologies, determining physical (body), psychological (mind) and philosophical aspect of human existence (the very idea of what it means to be the human), fully depicted in the conclusion of the article. The core element (novelty) is the attempt to bring full understanding and acknowledgment of disruptive innovations’, that “change not only of the what and the how things are done, but also the who we are”, moving beyond economical or technological perspective, to embrace also psychological and philosophical one.
    Źródło:
    World Scientific News; 2019, 134, 2; 118-147
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Expert systems used in industrial production management
    Systemy eksperckie wykorzystywane w zarządzaniu produkcją przemysłową
    Autorzy:
    Dima, I. C.
    Man, M.
    Grabara, I.
    Ciurea, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/405839.pdf
    Data publikacji:
    2010
    Wydawca:
    Politechnika Częstochowska
    Tematy:
    system ekspercki
    sztuczna inteligencja
    interfejs
    wyszukiwarka
    wdrażanie systemu eksperckiego
    expert system
    artificial intelligence
    interface
    search engine
    implementation of expert system
    Opis:
    In the conditions of computing the human society, the operational management activities can be improved by using artificial intelligence. Therefore, an expert system is proposed, for the metallurgical industry, for the casting activity for parts necessary in mining industry.
    Sztuczna inteligencja może przyczynić się do poprawy działań związanych z zarządzaniem operacyjnym w przypadku informatyzacji społeczeństwa. W związku z powyższym, w artykule zaproponowano wykorzystanie systemu eksperckiego w przemyśle metalurgicznym, szczególnie w procesach odlewania części niezbędnych w przemyśle kopalnianym.
    Źródło:
    Polish Journal of Management Studies; 2010, 2; 57-67
    2081-7452
    Pojawia się w:
    Polish Journal of Management Studies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-14 z 14

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