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    Wyświetlanie 1-6 z 6
    Tytuł:
    Expert’s Model of Managerial Competencies for Engineer 4.0 (EMMCE)
    Autorzy:
    Więcek-Janka, Ewa
    Werner-Lewandowska, Karolina
    Radecki, Adam
    Powiązania:
    https://bibliotekanauki.pl/articles/2201186.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    competency model
    manager 4.0
    engineer 4.0
    industry 4.0
    Opis:
    The purpose of this article is to present a proposal for an expert’s model of managerial competencies in the era of the fourth industrial revolution, called Industry 4.0. This revolution results in the emergence of new competency requirements for employees at every organizational level. In the article, we focused on the requirements for Engineers 4.0, in connection with managerial competencies expected from them. In order to answer the research questions, we conducted expert research by referring to our previous studies. Findings: The conducted research allowed to develop an expert’s model of managerial competencies for Engineer 4.0 (EMMCE). The results of the study allowed to determine the scope of managerial competencies for an engineer in the age of Industry 4.0, thus contributing, in a practical scope, to the creation of requirements for candidates applying for a managerial position in manufacturing enterprises. The model makes it possible for educational and training entities to adapt their teaching programmes and training offer to the modern requirements of the industry.
    Źródło:
    Management and Production Engineering Review; 2023, 14, 1; 87--104
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Pilot study of Industry 4.0 and digital technology prevalence in Russian manufacturing companies
    Autorzy:
    Lola, Inna S.
    Bakeev, Murat
    Powiązania:
    https://bibliotekanauki.pl/articles/407175.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    industry 4.0
    digitalization
    digital technologies
    business tendency observations
    manufacturing
    Opis:
    The spread of digital technologies dramatically changes production processes. The fourth industrial revolution opens up new opportunities for the introduction of technologies, having a significant impact on the production cycle, starting with highly automated production lines and ending with the large-scale implementation of technological solutions designed to improve productivity, optimize costs, quality and reliability. Defining digital transformations, primarily in the manufacturing industry, as a strategic imperative for the entire economy based on opinions and intentions of entrepreneurs (short and medium-term), key aspects of the digitalization process in Russian medium, high-tech and low-tech manufacturing industries are revealed. A set of tendencies in the development of digital technologies by their main types is presented, the level of industry participation in digital transformation is shown, as well as many other important digital transformation processes in enterprises that are not measured by quantitative statistics.
    Źródło:
    Management and Production Engineering Review; 2020, 11, 3; 26-37
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Industry 4.0: tools and implementation
    Autorzy:
    Sanghavi, Devansh
    Parikh, Sahil
    Raj, S. Aravind
    Powiązania:
    https://bibliotekanauki.pl/articles/407044.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Industry 4.0
    Internet of things
    cyber physical system
    CPS
    Smart Manufacturing
    cloud based manufacturing
    Big Data
    Opis:
    With the increasing demand of customisation and high-quality products, it is necessary for the industries to digitize the processes. Introduction of computers and Internet of things (IoT) devices, the processes are getting evolved and real time monitoring is got easier. With better monitoring of the processes, accurate results are being produced and accurate losses are being identified which in turn helps increasing the productivity. This introduction of computers and interaction as machines and computers is the latest industrial revolution known as Industry 4.0, where the organisation has the total control over the entire value chain of the life cycle of products. But it still remains a mere idea but an achievable one where IoT, big data, smart manufacturing and cloud-based manufacturing plays an important role. The difference between 3rd industrial revolution and 4th industrial revolution is that, Industry 4.0 also integrates human in the manufacturing process. The paper discusses about the different ways to implement the concept and the tools to be used to do the same.
    Źródło:
    Management and Production Engineering Review; 2019, 10, 3; 3--13
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Forecasting the Development of RFID Technology
    Autorzy:
    Gladysz, Bartlomiej
    Corti, Donatella
    Montini, Elias
    Powiązania:
    https://bibliotekanauki.pl/articles/1841427.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Industry 4.0
    technology management
    technology audit
    technology roadmap
    S-curves
    patent analysis
    RFID
    Opis:
    Industry 4.0 (I4) as a concept offers powerful opportunities for many businesses. The set of Industry 4.0 technologies is still discussed, and boundaries are not perfectly clear. However, implementation of Industry 4.0 concept becomes strategic principle, and necessary condition for succeeding on turbulent markets. Radio Frequency Identification (RFID) was used before I4 emerged. However, it should be treated as its important part and even enabler. The question arises how adoption of RFID was impacted by I4 paradigm. Therefore, to answer this question a set of technology management tools was selected and applied to forecast RFID potential development in forthcoming years. Moreover, case studies were conducted for technology management tools and their applications for RFID for qualitative discussion of its relevance. It aimed to prove that existing toolset should be applied for modern technologies related to I4. Tools were proven to be necessary and successful. However, some specific challenges were observed and discussed.
    Źródło:
    Management and Production Engineering Review; 2021, 12, 1; 38-47
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Product robustness philosophy – a strategy towards zero variation manufacturing (ZVM)
    Autorzy:
    Boorla, M. S.
    Eifler, T.
    McMahon, C.
    Howard, T. J.
    Powiązania:
    https://bibliotekanauki.pl/articles/406976.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    product robustness
    variation absorption
    product maturation
    zero variation manufacturing
    Industry 4.0
    production readiness
    Opis:
    A product is referred to as robust when its performance is consistent. In current product robustness paradigms, robustness is the responsibility of engineering design. Drawings and 3D models should be released to manufacturing after applying all the possible robust design principles. But there are no methods referred for manufacturing to carry and improve product robustness after the design freeze. This paper proposes a process of inducing product robustness at all stages of product development from design release to the start of mass production. A manufacturing strategy of absorbing all obvious variations and an approach of turning variations to cancel one another are defined. Verified the application feasibility and established the robustness quantification method at each stage. The theoretical and actual sensitivity of different parameters is identified as indicators. Theoretical and actual performance variation and accuracy of estimation are established as robustness metric. Manufacturing plan alignment to design, complimenting the design and process sensitivities, countering process mean shifts with tool deviations, higher adjustable assembly tools are enablers to achieve product robustness.
    Źródło:
    Management and Production Engineering Review; 2018, 9, 2; 3-12
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Lean principles for organizing items in an automated storage and retrieval system: an association rule mining – based approach
    Autorzy:
    Bevilacqua, Maurizio
    Ciarapica, Filippo Emanuele
    Antomarioni, Sara
    Powiązania:
    https://bibliotekanauki.pl/articles/407183.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    lean management
    AS/RS
    Association Rules
    Data Mining
    Industry 4.0
    5S
    shoe manufacturing
    Opis:
    The application of the 5S methodology to warehouse management represents an important step for all manufacturing companies, especially for managing products that consist of a large number of components. Moreover, from a lean production point of view, inventory management requires a reduction in inventory wastes in terms of costs, quantities and time of non-added value tasks. Moving towards an Industry 4.0 environment, a deeper understanding of data provided by production processes and supply chain operations is needed: the application of Data Mining techniques can provide valuable support in such an objective. In this context, a procedure aiming at reducing the number and the duration of picking processes in an Automated Storage and Retrieval System. Association Rule Mining is applied for reducing time wasted during the storage and retrieval activities of components and finished products, pursuing the space and material management philosophy expressed by the 5S methodology. The first step of the proposed procedure requires the evaluation of the picking frequency for each component. Historical data are analyzed to extract the association rules describing the sets of components frequently belonging to the same order. Then, the allocation of items in the Automated Storage and Retrieval System is performed considering (a) the association degree, i.e., the confidence of the rule, between the components under analysis and (b) the spatial availability. The main contribution of this work is the development of a versatile procedure for eliminating time waste in the picking processes from an AS/RS. A real-life example of a manufacturing company is also presented to explain the proposed procedure, as well as further research development worthy of investigation.
    Źródło:
    Management and Production Engineering Review; 2019, 10, 1; 29-36
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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