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Tytuł:
Impact of artificial management on the work of a team of humans. Result of research
Autorzy:
Flak, Olaf
Powiązania:
https://bibliotekanauki.pl/articles/27313486.pdf
Data publikacji:
2022
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
artificial management
artificial leadership
virtual team
system of organizational terms
sztuczne zarządzanie
sztuczne przywództwo
wirtualny zespół
system pojęć organizacyjnych
Opis:
Purpose: The purpose of this paper is to present an answer to the research question of what could be the real impact of an artificial manager on the work of a team consisting of humans. Design/methodology/approach: In presenting the arguments for one way of proceeding AI-based management, a review of the recent literature in the field of artificial management and artificial leadership was used. The artificial manager used in the research was the result of a non-participating, long-term observation of a group of students working on an specific task, whose activity was recorded by online management tools called TransistorsHead.com. Findings: The real impact of the artificial manager on the human team members was very weak. Although team members were taking similar managerial actions as they were told by the system of TransistorsHead.com, they mixed the order and decreased or increased a period of the managerial actions. Research limitations/implications: Human members did not feel any emotional pressure on their behaviour from the artificial manager and they do not treat the system too seriously. What is interesting, the most obedient person was the appointed assistant of the artificial manager. The rest two members did not obey the rules. Practical implications: If we manage to create an artificial manager, it will be much harder to make it effective in working with human team members. The research on team management automation will impact upon the business by giving a chance of implementing artificial management. Social implications: even if we manage to create an artificial manager, it will be much harder to make it effective in working with human team members. Originality/value: There is a new research problem of replacing a human manager with an artificial manager which has to be solved in management sciences and managerial practice in the future. This paper contains findings which are the next step in solving a new research problem of replacing a human manager with an artificial manager.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2022, 162; 153--165
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evolution From Human Virtual Teams to Artificial Virtual Teams Supported by Artificial Intelligence. Results of Literature Analysis and Empirical Research
Ewolucja zespołów wirtualnych od złożonych z ludzi do wspieranych przez sztuczną inteligencję. Wyniki analizy literatury i badań empirycznych
Autorzy:
Flak, Olaf
Pyszka, Adrian
Powiązania:
https://bibliotekanauki.pl/articles/2159231.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:
virtual teams
artificial management and leadership
artificial teammates
evolution of virtual
teams
autonomous teams
zespoły wirtualne
zarządzanie i przywództwo oparte na AI
roboty jako członkowie
zespołu
ewolucja zespołów wirtualnych
zespoły autonomiczne
Opis:
Purpose: The paper addresses the research problem of the new organizational reality which will include hybrid virtual teams, where both humans and artificial agents will be members and management tasks or leadership roles will be assumed by artificial intelligence. The objectives of the paper are to initially answer 4 research questions: (1) what are the characteristics of virtual teams in the era of intelligent technology, (2) what is the role of technology in changing the human-machine relationship, (3) to what extent can artificial intelligence replace humans in a virtual team, (4) how can team members be replaced by artificial intelligence in a virtual team. Design/methodology/approach: The research method is a literature review and our own empirical research concerning the new organizational reality with hybrid virtual teams consisting of humans as well as artificial agents. The research data was the results of a long-term observation of a virtual team which was conducted in June 2021 in a group of students who worked 36 hours using online management tools in TransistorsHead.com and MS Teams. Findings: The research has shown that virtual teams require different ways of communication and that consequences of working in such a team change the types of tasks, time spent working together as a group and social aspects of cooperation between team members. This experiment has shown that the decision-making process based on artificial entities can fulfill the requirements of virtual teams and that such entities can be considered as teammates or teams (Team As A Software – TAAS). It is also possible also to imitate a human-like manager (Manager As A Software – MAAS) or its higher evolutionary copy, namely a “sophisticated superhuman machine”. Research limitations/implications: The research results presented here are an example of research conducted from 2012 on, by means of online managerial tools, concerning the work of virtual teams and the opportunity to replace a human manager with a robot one. The answers to the research questions can only be applied to the studied group of students and cannot be generalized for all teams. Future research will be conducted with a wider group of respondents. Originality/value: The originality of the presented research results lies in the fact that the data collected during the research represents the real activities undertaken by the manager and his/her team members during the 36-hour work on the task concerned rather than being mere declarations of these activities by the respondents.
Cel: w artykule podjęto problem badawczy dotyczący nowej rzeczywistości organizacyjnej, w jakiej znajdą się hybrydowe zespoły wirtualne, w których członkami będą zarówno ludzie, jak i sztuczne obiekty, a zadania zarządcze lub role przywódcze przejmie sztuczna inteligencja. Celem artykułu jest wstępna odpowiedź na cztery pytania badawcze: (1) jakie są cechy zespołów wirtualnych w dobie inteligentnych technologii; (2) jaka jest rola technologii w zmianie relacji człowiek – maszyna; (3) w jakim stopniu sztuczna inteligencja może zastąpić człowieka w zespole wirtualnym; (4) w jaki sposób członkowie zespołu mogą być zastępowani przez sztuczną inteligencję w zespole wirtualnym. Metodologia: metodą badawczą był przegląd literatury oraz badania empiryczne dotyczące nowej rzeczywistości organizacyjnej z hybrydowymi zespołami wirtualnymi. Dane badawcze zostały zgromadzone w wyniku długookresowej obserwacji zespołu wirtualnego, która została przeprowadzona w czerwcu 2021 roku wśród grupy studentów pracujących 36 godzin z wykorzystaniem narzędzi zarządzania online w TransistorsHead.com i MS Teams. Wyniki: badania wykazały, że zespoły wirtualne wymagają różnych sposobów komunikacji, a konsekwencje pracy w takim zespole zmieniają rodzaje zadań, czas spędzony na wspólnej pracy jako grupa oraz społeczne aspekty współpracy pomiędzy członkami zespołu. Eksperyment wykazał, że proces decyzyjny oparty na sztucznych bytach może spełnić wymagania zespołów wirtualnych, które mogą być traktowane jako członek zespołu (Team As A Software – TAAS). Możliwe jest również naśladowanie menedżera podobnego do człowieka (Manager As A Software – MAAS) lub jego wyższej ewolucyjnej kopii „wyrafinowanej nadludzkiej maszyny”. Ograniczenia/implikacje badawcze: przedstawione wyniki badań są przykładem badań prowadzonych od 2012 roku z wykorzystaniem menedżerskich narzędzi online nad pracą zespołów wirtualnych i możliwością zastąpienia menedżera-człowieka menedżerem-robotem. Odpowiedzi na pytania badawcze można odnosić tylko do badanej grupy studentów i nie można uogólniać dla wszystkich zespołów. W przyszłości prowadzone będą badania w szerszej grupie respondentów. Oryginalność/wartość: oryginalność przedstawionych wyników badań polega na tym, że dane zgromadzone w czasie badań przedstawiają realne czynności podejmowane przez menedżera i członków jego zespołu podczas 36 godzinnej pracy nad zadaniem, a nie są tylko deklaracjami tych czynności przez respondentów.
Źródło:
Problemy Zarządzania; 2022, 20, 2/2022 (96); 48-69
1644-9584
Pojawia się w:
Problemy Zarządzania
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Managing Human Capital with AI: Synergy of Talent and Technology
Autorzy:
Bashynska, Iryna
Prokopenko, Olha
Sala, Dariusz
Powiązania:
https://bibliotekanauki.pl/articles/21968603.pdf
Data publikacji:
2023-09-30
Wydawca:
Wyższa Szkoła Finansów i Prawa w Bielsku-Białej
Tematy:
Artificial Intelligence (AI)
HR management
Talent Management
Opis:
The article explores how integrating artificial intelligence in human capital management can create a powerful synergy between human talent and cutting-edge technology. It delves into the ways in which AI is transforming the HR landscape, from recruitment and onboarding to employee development and retention. The article discusses the benefits of using AI-driven tools and strategies to enhance talent acquisition, workforce productivity, and employee satisfaction. The strategic advantages of AI-driven human capital management are evident from agile workforce planning and talent acquisition optimization to dynamic performance management and data-driven decision-making. The ability to continuously adapt to market changes, streamline processes, and provide personalized learning and development opportunities enhances an organization's resilience and competitiveness in a fast-paced and uncertain business environment. Moreover, the amalgamation of AI and human capital management is a technological advancement and a strategic imperative. It empowers organizations to harness the synergy of talent and technology, positioning them for a smarter, more agile, and prosperous future. As the digital age continues to unfold, this strategic merger will be central to unlocking the full potential of human capital in organizations and achieving a sustainable and competitive edge in the modern workplace.
Źródło:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej; 2023, 27, 3; 39-45
2543-9103
2543-411X
Pojawia się w:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stakeholder-accountability model for artificial intelligence projects
Autorzy:
Miller, Glorja J.
Powiązania:
https://bibliotekanauki.pl/articles/2163225.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
accountability
artificial intelligence
algorithms
project management
ethics
Opis:
Aim/purpose – This research presents a conceptual stakeholder accountability model for mapping the project actors to the conduct for which they should be held accountable in artificial intelligence (AI) projects. AI projects differ from other projects in important ways, including in their capacity to inflict harm and impact human and civil rights on a global scale. The in-project decisions are high stakes, and it is critical who decides the system’s features. Even well-designed AI systems can be deployed in ways that harm individuals, local communities, and society. Design/methodology/approach – The present study uses a systematic literature review, accountability theory, and AI success factors to elaborate on the relationships between AI project actors and stakeholders. The literature review follows the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement process. Bovens’ accountability model and AI success factors are employed as a basis for the coding framework in the thematic analysis. The study uses a web-based survey to collect data from respondents in the United States and Germany employing statistical analysis to assess public opinion on AI fairness, sustainability, and accountability. Findings – The AI stakeholder accountability model specifies the complex relationships between 16 actors and 22 stakeholder forums using 78 AI success factors to define the conduct and the obligations and consequences that characterize those relationships. The survey analysis suggests that more than 80% of the public thinks AI development should be fair and sustainable, and it sees the government and development organizations as most accountable in this regard. There are some differences between the United States and Germany regarding fairness, sustainability, and accountability. Research implications/limitations – The results should benefit project managers and project sponsors in stakeholder identification and resource assignment. The definitions offer policy advisors insights for updating AI governance practices. The model presented here is conceptual and has not been validated using real-world projects. Originality/value/contribution – The study adds context-specific information on AI to the project management literature. It defines project actors as moral agents and provides a model for mapping the accountability of project actors to stakeholder expectations and system impacts.
Źródło:
Journal of Economics and Management; 2022, 44; 446-494
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design jako źródło innowacji zarządzania
Design as a Source of Management Innovation
Autorzy:
Baran, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/27831839.pdf
Data publikacji:
2023
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
innowacje
innowacje zarządzania
design
podejście oparte na projektowaniu
zarządzanie jako nauka praktyczna
innovation
management innovation
design-led approach
management as the artificial science
Opis:
Innowacje zarządzania – uważane za trudne do powielenia – mogą stanowić źródło względnie trwałej przewagi konkurencyjnej, zwiększonej wydajności, poprawy produktywności, a także wyników finansowych przedsiębiorstw. Choć innowacje te zyskują coraz większą powszechność i uznanie, metody i procesy ich rozwoju wciąż pozostają niewystarczająco zbadane i rozpoznane. Słaby rozwój teorii zarządzania w wymiarze jej praktycznej przydatności i rzeczywistego wpływu na codzienne decyzje i działania menedżerów wobec przybierającej na sile transformacji w wymiarze społecznym i technologicznym jest ważnym argumentem za poszukiwaniem nowego podejścia do innowacji zarządzania. Celem podjętych badań jest w związku z powyższym rozpoznanie stosunkowo nowego podejścia do innowacji opartego na metodologii i praktyce projektowania oraz sformułowanie podstawowych przesłanek wykorzystania tego podejścia do badania innowacji zarządzania. Metodą zastosowaną do rozwiązania problemu naukowego była metoda dedukcji odniesiona do pogłębionego i krytycznego studium literatury z zakresu innowacji zarządzania, współczesnych podejść opartych na projektowaniu oraz epistemologii i metodologii nauk o zarządzaniu określanych jako nauki praktyczne. Głównym rezultatem badań jest sformułowanie podstawowych przesłanek wykorzystania założeń podejścia opartego na projektowaniu do badania innowacji zarządzania wraz z wyjaśnieniem ich implikacji dla nauk o zarządzaniu.
Management innovations as difficult to duplicate can be a source of a relatively sustainable competitive advantage, increased efficiency, improved productivity, and financial results of enterprises. Although these innovations are gaining popularity and recognition, the methods and processes of their development still remain insufficiently studied and recognized. The poor development of management theory in terms of its practical usability and real impact on everyday managerial decisions and actions in the face of the intensifying transformation in the social and technological dimension is an important argument for seeking a new approach to management innovation. The research aims to identify a relatively new approach to innovation based on design methodology and practice, and to formulate the fundamental premises for using this approach to management innovation research. The method used to solve the scientific problem was deduction referred to an in-depth and critical study of the literature in the field of management innovation, contemporary design-based approaches, and the epistemology and methodology of management as the artificial science. The main result of the research is to formulate the fundamental premises of using the assumptions of the design-based approach to management innovation, and the explanation of their implications for management sciences.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2023, 67, 5; 1-13
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of technologies in different forms management
Autorzy:
Inna, Balahurovska
Powiązania:
https://bibliotekanauki.pl/articles/27313278.pdf
Data publikacji:
2023
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
management
technology
artificial intelligence
kierownictwo
technologia
sztuczna inteligencja
Opis:
Purpose: This article aims to investigate the necessity and importance of using technology – artificial intelligence in modern management forms, such as information management, innovation management, project management, knowledge management, quality management, and HR management. Design/methodology/approach: The research method used in the article is an analysis scientific works, which describe the features of various forms of management in organizations. The research procedure included a review of world scientific literature, methodological analysis, identification of consistent connections between the two main structural parts of the researched question, and deductive reasoning. Findings: The article examines the issue of the need to use artificial intelligence in management to increase the organization's effectiveness. The analysis of the characteristics of six modern forms of management in organizations showed how exactly artificial intelligence could improve the activity of the organizational system. The work describes the positive aspects and benefits of using key components of artificial intelligence in the manager's management activities.Research limitations/implications: Our proposals for future research are to conduct research in organizations with different degrees of technological development to identify the dependence on the efficiency of activities and the level of technology provision of organizations. Practical implications: Modern technological development requires every manager to implement technologies in the managed organization. Analysis of the need to use artificial intelligence in various management forms to improve the organization's efficiency is important for managers striving for high financial results in their activities. Social implications: Implementation and use of technologies in organizations ensure their stable development. Developed organizations form a strong economy that provides people with a high standard of living. Originality/value: The study results indicate the importance of studying issues related to implementing and developing technological processes in the organization. The analysis of the characteristics of the forms of management and their connection with the key components of artificial intelligence prove the necessity of its use in management to achieve the organization's financial stability.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2023, 169; 33--41
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is Management a Science or an Art? From Theory to Practice of Management
Autorzy:
Grudzewski, Wiesław Maria
Wilimowska, Zofia
Powiązania:
https://bibliotekanauki.pl/articles/633673.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
management
models
artificial intelligence
neural networks
agent
risk
Opis:
Purpose – The purpose of this article is to discuss and show that management is a science, not just an art. Decision-making in the enterprise requires talent and special skills supported by the right qualifications. According to Tatarkiewicz, management can be considered as an art, which can be interpreted as follows: “(...) man’s conscious creation is a work of art always when it recreates reality, shapes forms, or expresses experience, yet it is able either to delight, or touch, or shock” (Tatarkiewicz, 1972). On the other hand, the company management is understood as a continuous process of making decisions based on reliable knowledge, observations and experiences – it is, therefore, a science, and modern managers are not just passive consumers of research knowledge, but also its creators. Contemporary theories focus attention on constructing appropriate models, which support the decisions of managers allowing them to somehow “spy” and observe the effects of their decisions. The aim of the paper is to show that in the modern economy, design models to support the management of the enterprise is the science that uses the achievements of other sciences, creative adaptation of these achievements in modeling phenomena occurring in the world economy. The aim of this article is to show that management sciences are increasingly exploiting modern knowledge to build models for developing practical concepts of management systems.Design/Methodology/Approach – The authors present the review of mathematical models, computer models (used in situations where the analytical models cannot find the best solution), and in particular artificial intelligence algorithms and selected models of dynamic system for managing the organization and some examples of applications.Findings – The results obtained show that in the management sciences, many models are used to support managerial decisions. Of course, the achievements of other sciences are very often used, management is of an application, but also of scientific nature, because, in order to skillfully use knowledge from other fields, decision-making models should be developed to solve problems in management and allow to use the achievements of these other areas.Research limitations/implications – The limitations of this paper result from the fact that only selected models are presented in the article. The authors hope that these selected models will be the argument that management science is becoming more and more science and not an art only.Originality/Value – This paper presents the review of modern methods used in management sciences to show that modern management is more a science than an art.
Źródło:
International Journal of Synergy and Research; 2017, 6
2083-0025
Pojawia się w:
International Journal of Synergy and Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence - an agenda for management sciences
Autorzy:
Jarosz, Szymon
Powiązania:
https://bibliotekanauki.pl/articles/2231196.pdf
Data publikacji:
2023-07-20
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
Artificial Intelligence
management
literature review
agenda
keywords analysis
Opis:
Nowadays, the need for digitisation and digitalisation of enterprises, as well as the use of solutions based on Artificial Intelligence (AI), are coming to the fore. The use of intelligent systems in organisations is not a strictly technical issue, and is also important in the management of modern enterprises. The aim of this article is to provide a theoretical analysis of the phenomenon of Artificial Intelligence in management sciences by means of a systematic review of the literature using Scopus database records. Bibliographic analysis of Artificial Intelligence in management sciences in this article points to this topic as something relatively new in the case of management sciences, although rapidly developing. As part of the bibliographic analysis we propose an agenda regarding the issue of AI in management sciences, consisting of thematic clusters related to technologies based on and complementary to AI, the goals of using AI in organisations, human-AI relations and issues related to ethics and sustainable development.
Źródło:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2023, 99, 2; 47-55
1731-6758
1731-7428
Pojawia się w:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on the Interest of Local Governments in the Use of Artificial Intelligence in Flood Risk Management in Poland
Analiza stopnia zainteresowania samorządów lokalnych wykorzystaniem sztucznej inteligencji w zarządzaniu ryzykiem powodziowym w Polsce
Autorzy:
Wrzalik, Artur
Powiązania:
https://bibliotekanauki.pl/articles/2033018.pdf
Data publikacji:
2021
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
crisis management
flood risk management
artificial intelligence
zarządzanie kryzysowe
zarządzanie ryzykiem powodziowym
sztuczna inteligencja
Opis:
The aim of the article was to analyse the degree of interest in the implementation of artificial intelligence methods in the area of crisis management related to flood risk in local government units in Poland. Pilot studies were carried out with the use of a questionnaire and direct telephone interview in 47 selected local governments located in Poland. The respondents assessed the current crisis management system and referred to the possibility of using artificial intelligence solutions in the analysed area. On the basis of the obtained results, it can be concluded that the surveyed entities show significant interest in the proposed solution and have specific expectations towards them. Most of the works devoted to flood risk management in Poland focus on solutions intended for the national level, not local one. The article aimed to highlight the need to fill this research gap.
Celem artykułu jest analiza stopnia zainteresowania implementacją metod sztucznej inteligencji w obszarze zarządzania kryzysowego związanego z ryzykiem powodziowym w jednostkach samorządu terytorialnego w Polsce. Badania, mające charakter pilotażowy, przeprowadzono z wykorzystaniem kwestionariusza ankietowego i bezpośredniego wywiadu telefonicznego w 47 wybranych samorządach lokalnych zlokalizowanych w Polsce. Respondenci dokonali oceny obecnego systemu zarządzania kryzysowego i odnieśli się do możliwości wykorzystania rozwiązań sztucznej inteligencji na analizowanym obszarze. Na podstawie uzyskanych wyników można stwierdzić, że badane podmioty wykazują duże zainteresowanie proponowanym rozwiązaniem i mają wobec niego określone oczekiwania. Warto podkreślić, że większość prac poświęconych zarządzaniu ryzykiem powodziowym w Polsce koncentruje się na rozwiązaniach przeznaczonych na poziom krajowy, a nie lokalny. W artykule podjęto próbę wypełnienia tej luki badawczej.
Źródło:
Informatyka Ekonomiczna; 2021, 3; 58-72
1507-3858
Pojawia się w:
Informatyka Ekonomiczna
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:
ARTIFICIAL NEURAL NETWORK SUPPORTING THE PROCESS OF INVESTING ON THE FOREIGN STOCK EXCHANGES
Autorzy:
Halicki, Marcin
Kwater, Tadeusz
Powiązania:
https://bibliotekanauki.pl/articles/453432.pdf
Data publikacji:
2015
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
artificial intelligence
process of portfolio management
stock exchanges features
investments
Opis:
The publication presents the use of artificial neural networks as a tool expert that supports the process of decision-making for the quarterly period to invest in selected stock exchanges. It proposes a set of 10 features of exchanges, which is of enough universal character that the approach presented in the publication may be useful for any chosen stock exchange. The conducted study was based on actual data.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2015, 16, 1; 116-125
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of energy consumption in the Industry 4.0 platform- solutions overview
Autorzy:
Temich, Sebastian
Pollak, Artur
Kucharczyk, Jacek
Ptasiński, Wojciech
Mężyk, Arkadiusz
Gąsiorek, Damian
Powiązania:
https://bibliotekanauki.pl/articles/1839684.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
Industry 4.0
artificial intelligence
IPOE
production management
mechanical engineering
production engineering
Opis:
For a long time, scientific and technical work has been focused on production management, which affects both the correctness of the process and the costs generated. One of the integral elements of the production process management is energy, which has an impact on the organization of work, operation of machines or production. Predicting the energy consumption of smart facilities is crucial for implementing energy-efficient management systems, the area of this problem is a key aspect of smart grids whereby loads must be planned in real time. One of the main tasks of intelligent systems is to optimize the energy demand and costs to maximize energy efficiency of the facility. According to forecasting requirements, the following article presents several approaches to prediction of energy consumption models for production engineering systems. The proposed models were adopted and analyzed in terms of their usability and were trained and validated with the use of real data collected from the electrical installation of some company using the APA IPOE system.
Źródło:
Journal of Theoretical and Applied Mechanics; 2021, 59, 3; 455-468
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using Artificial Intelligence in Public Management: Aspects of Integration
Autorzy:
Storozhenko, Lina
Powiązania:
https://bibliotekanauki.pl/articles/24849612.pdf
Data publikacji:
2023-12-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
artificial intelligence
digital technologies
netocratic public management
integration
information and digital society
Opis:
The article examines various aspects of the use of artificial intelligence in the public administration system. In particular, the world experience of implementing intelligent technologies in management activities of the USA, China, Singapore, Japan, UAE, India, UK, Canada, Germany as leaders in the implementation of effective digital innovations in the field of public administration is considered. Attention is focused on creating favorable conditions at the state level to support initiatives for the development of artificial intelligence and determining its exceptional role in the further development of society. An analysis of Ukrainian practices of integrating artificial intelligence technologies into public administration proves that the use of digital innovations in domestic management activities is a definite pointer for the introduction and approval of relevant social, political, legal, economic, cultural norms in order to form a modern digital society, the most important element of which there is the development and active integration of artificial intelligence technologies into the management system and the formation of a «new» netocratic public administration. The article highlights key aspects of the implementation of artificial intelligence in public administration, including automation of administrative processes, data analysis, open access and exchange of information, security and protection of information, flexibility and adaptability, ensuring public participation, electronic platforms for citizen participation, identification and counteraction corruption, hybrid service systems, efficiency and innovation.
Źródło:
Krakowskie Studia Małopolskie; 2023, 4(40); 37-49
1643-6911
Pojawia się w:
Krakowskie Studia Małopolskie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The sensors-based artificial intelligence Train Control and Monitoring System (TCMS) for managing the railway transport fleet
Autorzy:
Kalinowski, Mateusz
Weichbroth, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/33343273.pdf
Data publikacji:
2023-11-30
Wydawca:
Sieć Badawcza Łukasiewicz - Poznański Instytut Technologiczny
Tematy:
artificial intelligence
railway fleet management
train safety
train monitoring
rail vehicle sensor
Opis:
Railways deliver a safe and sustainable form of transport and are typically pointed as one the safest form of transportation. Nevertheless, train accidents still happen, and when they happen, the consequences concern serious fatalities and injuries. Since every case is unique, the most frequent causes of train accidents are mechanical derailments, failures, as well as human errors and ignorance. In order to mitigate the risks posed by both physical and human related factors, various technological advancements have been designed and implemented. Among many existing Train Control and Monitoring Systems (TCMS), one can observe that recently developed artificial intelligence (AI) methods are also considered to be integrated part of the modern TCMS solutions. Following recent AI improvements and trends, in this paper we aim to present and discuss our newly developed TCMS system. In particular, both the system architecture and features are described along with the expected benefits of its implementation.
Źródło:
Rail Vehicles/Pojazdy Szynowe; 2023, 1-2; 20-26
0138-0370
2719-9630
Pojawia się w:
Rail Vehicles/Pojazdy Szynowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using Artificial Neural Networks for predicting ship fuel consumption
Autorzy:
Nguyen, Van Giao
Sakthivel, Rajamohan
Rudzik, Krzysztof
Kozak, Janusz
Sharma, Prabhakar
Pham, Nguyen Dang Khoa
Nguyen, Phuoc Quy Phong
Nguyen, Xuan Phuong
Powiązania:
https://bibliotekanauki.pl/articles/32918813.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
artificial neural network
fuel management
marine engine
ship fuel consumption
energy efficiencys
Opis:
In marine vessel operations, fuel costs are major operating costs which affect the overall profitability of the maritime transport industry. The effective enhancement of using ship fuel will increase ship operation efficiency. Since ship fuel consumption depends on different factors, such as weather, cruising condition, cargo load, and engine condition, it is difficult to assess the fuel consumption pattern for various types of ships. Most traditional statistical methods do not consider these factors when predicting marine vessel fuel consumption. With technological development, different statistical models have been developed for estimating fuel consumption patterns based on ship data. Artificial Neural Networks (ANN) are some of the most effective artificial methods for modelling and validating marine vessel fuel consumption. The application of ANN in maritime transport improves the accuracy of the regression models developed for analysing interactive relationships between various factors. The present review sheds light on consolidating the works carried out in predicting ship fuel consumption using ANN, with an emphasis on topics such as ANN structure, application and prediction algorithms. Future research directions are also proposed and the present review can be a benchmark for mathematical modelling of ship fuel consumption using ANN.
Źródło:
Polish Maritime Research; 2023, 2; 39-60
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Opinie studentów wobec możliwości i ograniczeń wykorzystania systemu ChatGPT
Students opinions on the possibilities and limitations of using the ChatGPT system
Autorzy:
Cabała, Paweł
Kwiatkowska, Kamila
Woźniak, Krzysztof
Zakrzewska, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/28361093.pdf
Data publikacji:
2023
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
ChatGPT
sztuczna inteligencja
dydaktyka
postawy studentów
zarządzanie
artificial intelligence
didactics
student attitudes
management
Opis:
Zagadnienie sztucznej inteligencji (AI) będącej efektem dynamicznego rozwoju technologii informacyjnej jest przedmiotem badań od kilkudziesięciu lat. Jednym z systemów inteligentnych, który generuje odpowiedzi na dowolnie postawione pytania jest ChatGPT, którego jednym z obszarów zastosowania jest edukacja. Artykuł przedstawia wyniki badań sondażowych przeprowadzonych w ramach zajęć dydaktycznych z zarządzania wśród studentów Uniwersytetu Ekonomicznego w Krakowie. Badania miały na celu identyfikację opinii studentów na temat możliwości wykorzystania platformy ChatGPT w rozwiązywaniu konkretnych problemów decyzyjnych i były prowadzone podczas zajęć dydaktycznych w semestrze letnim roku akademickiego 2022/23. W artykule opisano powstanie i rozwój systemu ChatGPT, zaprezentowano metodę badawczą oraz wyniki badań. Dokonano również dyskusji uzyskanych wyników z wnioskami zaprezentowanymi w literaturze naukowej. Z przeprowadzonej analizy wynika, że większość badanych studentów jest pozytywnie nastawiona do wykorzystania systemu ChatGPT na zajęciach. W odpowiedziach na pytanie otwarte pojawiły się jednak różne opinie. Z jednej strony wskazano na korzyści wynikające z jego stosowania jako narzędzia wspomagającego naukę, takie jak ułatwienie wyszukiwania informacji, parafrazowanie tekstu czy generowanie planów pracy. Z drugiej strony pojawiły się obawy dotyczące możliwości popełnienia plagiatu, a także ryzyko utraty umiejętności poszukiwania informacji przez studentów w sposób rzetelny i efektywny.
Artificial intelligence (AI), the result of the dynamic development of information technology, has been the subject of research for several decades. ChatGPT is an intelligent system that generates answers to arbitrary questions, and one of its fields of application is education. This article presents the results of a survey conducted as part of a teaching course in management among students at the Krakow University of Economics. The research was aimed at identifying students' opinions on the possibility of using ChatGPT in solving specific decision-making problems and was conducted during the didactic classes in the summer semester of the academic year 2022/23. The article describes the origin and development of ChatGPT, presents the research method and the results of the research. A discussion of the results obtained with conclusions presented in the scientific literature is also made. The analysis shows that the majority of the students surveyed were positive about the use of the ChatGPT system in their classes. The students' responses to the open-ended question revealed different opinions. On the one hand, the benefits of using ChatGPT as a learning support tool were pointed out, such as facilitating information retrieval, paraphrasing text or creating work plans. On the other hand, concerns were raised about laziness, plagiarism and the loss of the ability to search for information reliably and efficiently.
Źródło:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2023, 102, 5; 48-56
1731-6758
1731-7428
Pojawia się w:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Big data management algorithms in artificial Internet of Things-based fintech
Autorzy:
Andronie, Mihai
Iatagan, Mariana
Uță, Cristian
Hurloiu, Iulian
Dijmărescu, Adrian
Dijmărescu, Irina
Powiązania:
https://bibliotekanauki.pl/articles/19902795.pdf
Data publikacji:
2023
Wydawca:
Instytut Badań Gospodarczych
Tematy:
big data management algorithms
artificial intelligence
Internet of Things
fintech
banking
capital markets
Opis:
Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose of the article: We aim to show that fintech can decrease transaction expenses and consolidates firm stock liquidity, enabling excess leverage decrease and cutting down information asymmetry and transaction expenses across capital markets. AI- and IoT-based fintechs enable immersive and collaborative financial transactions, purchases, and investments in relation to payment tokens and metaverse wallets, managing financial data, infrastructure, and value exchange across shared interactive virtual 3D and simulated digital environments. Methods: AMSTAR is a comprehensive critical measurement tool harnessed in systematic review methodological quality evaluation, DistillerSR is harnessed in producing accurate and transparent evidence-based research through literature review stage automation, MMAT appraises and describes study checklist across systematic mixed studies reviews in terms of content validity and methodological quality predictors, Rayyan is a responsive and intuitive knowledge synthesis tool and cloud-based architecture for article inclusion and exclusion suggestions, and ROBIS appraises systematic review bias risk in relation to relevance and concerns. As a reporting quality assessment tool, the PRISMA checklist and flow diagram, generated by a Shiny App, was used. As bibliometric visualization and construction tools for large datasets and networks, Dimensions and VOSviewer were leveraged. Search terms were “fintech” + “artificial intelligence”, “big data management algorithms”, and “Internet of Things”, search period was June 2023, published research inspected was 2023, and selected sources were 35 out of 188. Findings & value added: The growing volume of financial products and optimized operational performance of financial industries generated by fintech can provide firms with multifarious financing options quickly. Big data-driven fintech innovations are pivotal in banking and capital markets in relation to financial institution operational efficiency. Through data-driven technological and process innovation capabilities, AI system-based businesses can further automated services.
Źródło:
Oeconomia Copernicana; 2023, 14, 3; 769-793
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An eco-friendly strategy using flax/polylactide composite to tackle the marine invasive sponge Celtodoryx ciocalyptoides (Burton, 1935)
Autorzy:
Gentric, C.
Sauleau, P.
Powiązania:
https://bibliotekanauki.pl/articles/48062.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:
artificial substance
biocomposite
Celtodoryx ciocalyptoides
sponge
polylactide
flax
ecofriendly management
Yellow Sea
China
Źródło:
Oceanologia; 2019, 61, 2
0078-3234
Pojawia się w:
Oceanologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
European union proposal for the regulation of civil liability for artificial intelligence in the context of corporate governance
Autorzy:
Antoniuk, Jarosław
Powiązania:
https://bibliotekanauki.pl/articles/27314573.pdf
Data publikacji:
2022
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
civil liability
artificial intelligence
operator
enterprise management
odpowiedzialność cywilna
sztuczna inteligencja
zarządzanie przedsiębiorstwem
Opis:
Introduction/background: Artificial intelligence (AI) is becoming increasingly important in today’s business environment, but operation of AI devices may pose a risk to purchasers of products incorporating the AI or recipients of services using the AI. This risk must be taken into account by the entrepreneur in his or her business activity. For this to happen, the entrepreneur must know the legal regime under which he or she will be held liable in the event of damage caused by the AI he or she uses. Aim of the paper: The article is devoted to a critical analysis of the draft Regulation of the European Parliament and of the Council on liability for the operation of artificial intelligence systems contained in the resolution of the European Parliament of 20 October 2020 with recommendations to the Commission on the liability regime for artificial intelligence (2020/2014 (INL)). Materials and methods: The considerations in this article are based on the literature on the subject and on the European Parliament proposed a Regulation of the European Parliament and of the Council on liability for the operation of artificial intelligence systems. These materials have been subjected to critical analysis. Results and conclusions: The conducted analysis leads the author to the conclusion that the proposed regulation introducing different liability regimes corresponds to the specificity of AI, and compulsory insurance for high-risk AI system operators is an important step towards securing the interests of the aggrieved party, however, limiting the operator's liability at the proposed level does not sufficiently guarantee protection of the interests of the victims. The author is also critical of the fact that the regulation links the compensation for personal injury to the economic consequences of the infringement of personal rights, does not regulate the issue of the causal link between the operation of AI systems and the damage and the difficulties of proof faced by victims of the operation of AI systems. Consequently, the author questions the advisability of regulating civil liability for the actions of artificial intelligence systems at EU level in the form of a regulation, when it would be sufficient to allow individual Member States to regulate this matter while harmonizing national regulations by means of a directive.
Źródło:
Organizacja i Zarządzanie : kwartalnik naukowy; 2022, 3; 39--50
1899-6116
Pojawia się w:
Organizacja i Zarządzanie : kwartalnik naukowy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
AI-based Yolo v4 intelligent traffic light control system
Autorzy:
Prathap, Boppuru Rudra
Kumar, Kukatlapalli Pradeep
Chowdary, Cherukuri Ravindranath
Hussain, Javid
Powiązania:
https://bibliotekanauki.pl/articles/27314354.pdf
Data publikacji:
2022
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
traffic jam
traffic light system
traffic management
intelligent monitoring
signal switching algorithm
artificial intelligence
Opis:
With the growing number of city vehicles, traffic management is becoming a persistent challenge. Traffic bottlenecks cause significant disturbances in our everyday lives and raise stress levels, negatively impacting the environment by increasing carbon emissions. Due to the population increase, megacities are experiencing severe challenges and significant delays in their day-to-day activities related to transportation. An intelligent traffic management system is required to assess traffic density regularly and take appropriate action. Even though separate lanes are available for various vehicle types, wait times for commuters at traffic signal points are not reduced. The proposed methodology employs artificial intelligence to collect live images from signals to address this issue in the current system. This approach calculates traffic density, utilizing the image processing technique YOLOv4 for effective traffic congestion management. The YOLOv4 algorithm produces better accuracy in the detection of multiple vehicles. Intelligent monitoring technology uses a signal-switching algorithm at signal intersections to coordinate time distribution and alleviate traffic congestion, resulting in shorter vehicle waiting times.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 4; 53--61
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
System inteligentnego monitoringu przestrzeni i obiektów szczególnego znaczenia SIMPOZ
Intelligent surveillance system for monitoring of important public spaces and buildings
Autorzy:
Bubliński, Z.
Chmiel, W.
Jabłoński, M.
Kadłuczka, P.
Kryjak, T.
Mikrut, Z.
Pawlik, P.
Tadeusiewicz, R.
Powiązania:
https://bibliotekanauki.pl/articles/274637.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
przetwarzanie obrazu
sztuczna inteligencja
zarządzanie procesem monitoringu
image processing
artificial intelligence
surveillance process management
Opis:
Celem projektu realizowanego w Katedrze Automatyki jest stworzenie wydajnego narzędzia wspomagającego proces nadzoru przestrzeni i obiektów publicznych, w oparciu o automatyczną analizę obrazów cyfrowych. Przy założeniu szeroko pojętej ogólności zagrożeń, które mają być wykrywane, konstrukcja programu do automatycznego wspomagania nadzoru nie jest zagadnieniem trywialnym, ze względu na nieprzewidywalną wielowariantowość obserwowanych sytuacji. Opracowanie efektywnego systemu wymaga rozwiązania szeregu zagadnień, skomplikowanych od strony koncepcyjnej i trudnych w realizacji algorytmicznej. Zadaniem inteligentnego systemu wspomagania monitoringu jest wskazanie obsłudze systemu sytuacji potencjalnie podejrzanych z punktu widzenia przyjętych kryteriów bezpieczeństwa. W celu przezwyciężenia pojawiających się tu trudności tworzone są algorytmy, których działanie opiera się nie tylko na przetwarzaniu i analizie obrazów, ale także na próbach automatycznego rozumienia znaczenia obserwowanych scen, czyli imitowanych komputerowo elementach ludzkiego postrzegania i toku myślenia, związanego z ocenianym obrazem.
The aim of the project realized in the Department of Automatics is to create an efficient tool to support the process of surveillance of public spaces and buildings based on automated image analysis. Assuming a wide scope of applications of developed tools, the design of the program to automatically support surveillance tasks is not a trivial problem, due to unforeseen circumstances and non-predicted situation. Developing an effective surveillance system requires addressing a number of issues, that are conceptually complex and require research and implementation of advanced algorithms. The goal of an intelligent monitoring system is to identify potentially suspicious circumstances according to assumed safety criteria. In order to overcome arising here difficulties there are created algorithms whose operation is based not only on processing and analyzing images, but also on imitating a human perception and understanding of the analyzed images.
Źródło:
Pomiary Automatyka Robotyka; 2011, 15, 12; 69-76
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza efektywności wykorzystania kryteriów informacyjnych w prognozowaniu zapotrzebowania na części zamienne
Efficiency analysis of information criteria application in spare parts demand forecasting
Autorzy:
Rosienkiewicz, M.
Powiązania:
https://bibliotekanauki.pl/articles/1377738.pdf
Data publikacji:
2013
Wydawca:
Polskie Wydawnictwo Ekonomiczne
Tematy:
logistyka
gospodarka materiałowa
części zamienne
sztuczne sieci neuronowe
logistics
materials management
artificial neural networks
Opis:
W artykule przedstawiono klasyczne metody prognozowania zapotrzebowania na części zamienne oraz nowy trend w tej dziedzinie - wykorzystanie jednej z metod sztucznej inteligencji - sztucznych sieci neuronowych SSN (Sztuczne Sieci Neuronowe; Artificial Neural Networks, ANN).
The paper presents a new approach to the spare parts forecasting issue - a method which combines regression modeling, information criteria and artificial neural networks ANN. The research presented in this article compares efficiency of classical methods with the artificial intelligence tool in the scope of spare parts forecasting. Artificial Neural Networks have been advocated as an alternative to traditional statistical forecasting methods. Classical methods, such as exponential smoothing or mean average, have been used for several decades in forecasting demand. However, many of these techniques may perform poorly when demand for an item is lumpy or intermittent. In the paper three concepts of using ANN in spare parts forecasting - micro, macro and hybrid - were described. The article presents also the variable selection issue, which is of a great importance in any model building.
Źródło:
Gospodarka Materiałowa i Logistyka; 2013, 5; 11-21
1231-2037
Pojawia się w:
Gospodarka Materiałowa i Logistyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Smart operating room and surgery driven by artificial intelligence
Autorzy:
Frank, Alexander
Karcz, W. Konrad
Powiązania:
https://bibliotekanauki.pl/articles/2063771.pdf
Data publikacji:
2020
Wydawca:
Międzynarodowe Stowarzyszenie na rzecz Robotyki Medycznej
Tematy:
sztuczna inteligencja
zarządzanie szpitalem
zarządzanie oddziałem chirurgicznym
sala operacyjna
artificial intelligence
hospital management
management of the surgical department
operating room
Opis:
From a surgical point of view, artificial intelligence (AI) does seem to be the holy grail of future medicine. Today data driven medicine influence also handwork - done with knifes, scissors, needles and sutures. Should a surgeon learn something about AI and data science? Big data, machine learning, NLP, video analysis and robotics will be a big part of modern surgery. Today’s operating robots like the Davinci already works with video analysis and machine learning. How AI will influence the OR of the future will be shown in this story. Please meet Dr. Smith. The surged of the future!
Źródło:
Medical Robotics Reports; 2020, 8/9; 68--71
2299-7407
Pojawia się w:
Medical Robotics Reports
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:
The influence of changes in active binder content on the control system of the moulding sand quality
Autorzy:
Jakubski, J.
Dobosz, S. M.
Major-Gabryś, K.
Powiązania:
https://bibliotekanauki.pl/articles/380300.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
zarządzanie jakością
masa formierska
sztuczna sieć neuronowa
quality management
green moulding sands
artificial neural networks
Opis:
Artificial neural networks are one of the modern methods of the production optimisation. An attempt to apply neural networks for controlling the quality of bentonite moulding sands is presented in this paper. This is the assessment method of sands suitability by means of detecting correlations between their individual parameters. The presented investigations were aimed at the selection of the neural network able to predict the active bentonite content in the moulding sand on the basis of this sand properties such as: permeability, compactibility and the compressive strength. Then, the data of selected parameters of new moulding sand were set to selected artificial neural network models. This was made to test the universality of the model in relation to other moulding sands. An application of the Statistica program allowed to select automatically the type of network proper for the representation of dependencies occurring in between the proposed moulding sand parameters. The most advantageous conditions were obtained for the uni-directional multi-layer perception (MLP) network. Knowledge of the neural network sensitivity to individual moulding sand parameters, allowed to eliminate not essential ones.
Źródło:
Archives of Foundry Engineering; 2012, 12, 4; 71-74
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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