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    Wyświetlanie 1-7 z 7
    Tytuł:
    Analiza czynników wpływających na efektywność procesów w zakładach produkcyjnych o niskim stopniu automatyzacji - studium przypadku
    Analysis of factors affecting the efficiency of processes in low-automation production plants - case study of a Polish automotive company
    Autorzy:
    Kłos, Sławomir
    Nalewa, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/36845689.pdf
    Data publikacji:
    2021
    Wydawca:
    Polskie Towarzystwo Zarządzania Produkcją
    Tematy:
    automotive
    efficiency
    low degree of automation
    manual assembly
    productivity
    motoryzacja
    wydajność
    niski stopień automatyzacji
    montaż ręczny
    produktywność
    Opis:
    Automotive companies require continuous development and demonstration of huge adaptability to market requirements. The level of competition in this sector has created the need to increase productivity, productivity and quality to meet customer requirements. Despite the opportunities offered by automation of production and logistics systems, many companies, especially the automotive industry, still rely on man-made work because of its flexibility and cognitive and motor skills, which machines are unable to perform. It should be pointed out that the multivariantity and specificity of production technologies and the time of technological changeovers make a low level of automation or lack thereof the only right alternative. At work, an attempt was made to carry out an analysis of factors affecting the efficiency of low-automation production processes on the example of a polish manufacturing company from the automotive industry.
    Źródło:
    Zarządzanie Przedsiębiorstwem; 2021, 24, 3-4; 14-25
    1643-4773
    Pojawia się w:
    Zarządzanie Przedsiębiorstwem
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zdolność innowacyjna polskich małych i średnich przedsiębiorstw
    The innovation capacity of Polish small and medium-sized enterprises
    Autorzy:
    Patalas-Maliszewska, Justyna
    Kłos, Sławomir
    Powiązania:
    https://bibliotekanauki.pl/articles/426498.pdf
    Data publikacji:
    2013
    Wydawca:
    Szkoła Główna Handlowa w Warszawie
    Tematy:
    innovation capacity
    small and medium-sized enterprises
    knowledge-based economy
    survey
    information technology
    Opis:
    The innovation capacity of Polish small and medium-sized enterprises (SMEs) implies their development in the knowledge-based economy. While having been the object of numerous studies, the link between used information technology and innovation capacity in SMEs still requires understanding. The article seeks to define a model for the assessment of the impact of used information technology on the growth of the innovation capacity of Polish SMEs in four perspectives: organizational, process, product, and marketing. This model is tested empirically with survey data from 300 Polish SMEs. The results confirm that innovation capacity is not mediated by the used information technology.
    Źródło:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2013, 3 (50); 67-72
    1731-6758
    1731-7428
    Pojawia się w:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An analysis of the operating parameters of the vacuum furnace with regard to the requirementsof predictive maintenance
    Autorzy:
    Kłos, Sławomir
    Papacz, Władysław
    Piechowicz, Łukasz
    Powiązania:
    https://bibliotekanauki.pl/articles/407421.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    predictive maintenance
    vacuum furnace
    Industry 4.0
    self-monitoring
    thermo-visual investigation
    Opis:
    The Industry 4.0 Concept assumes that the majority of industry’s resources will be able to self-diagnose; this will, therefore, enable predictive maintenance. Numerically controlled machines and devices involved in technological processes should, especially, have the facility to predict breakdown. In the paper, the concept of a predictive maintenance system for a vacuum furnace is presented. The predictive maintenance system is based on analysis of the operating parameters of the system and on the algorithms for identifying emergency states in the furnace. The algorithms will be implemented in the monitoring sub-system of the furnace. Analysis of the operating parameters of vacuum furnaces, recorded in the Cloud will lead to increased reliability and reduced service costs. In the paper, the research methodology for identification of the critical parameters of the predictive maintenance system is proposed. Illustrated examples of the thermographic investigation of a vacuum furnace are given.
    Źródło:
    Management and Production Engineering Review; 2019, 10, 4; 48-54
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis and prediction of leak detection in the low-pressure heat treatment of metal equipment
    Autorzy:
    Kłos, Sławomir
    Patalas-Maliszewska, Justyna
    Bazel, Michal
    Powiązania:
    https://bibliotekanauki.pl/articles/2200932.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    vacuum heat treatment
    vacuum furnace leaks
    predictive maintenance
    artificial neural networks
    Opis:
    The low-pressure heat treatment of metals enables the continuous improvement of the mechanical and plastic properties of products, such as hardness, abrasion resistance, etc. A significant problem related to the operation of vacuum furnaces for heat treatment is that they become unsealed during operation, resulting from the degradation of seals or the thermal expansion of the construction materials. Therefore, research was undertaken to develop a prediction model for detecting leaks in vacuum furnaces, the use of which will reduce the risk of degradation in the charge being processed. Unique experimental studies were carried out to detect leakages in a vacuum pit furnace, simulated using the ENV 116 reference slot. As a consequence, a prediction model for the detection of leaks in vacuum furnaces- which are used in the heat treatment of metals- was designed, using an artificial neural network. (93% for MLP 15-10-1) was developed. The model was implemented in a predictive maintenance system, in a real production company, as an element in the monitoring of the operation of vacuum furnaces.
    Źródło:
    Eksploatacja i Niezawodność; 2022, 24, 4; 719--727
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sustainable Business Model integrated with the Enterprise Resource Planning system: SBM-ERP
    Autorzy:
    Patalas-Maliszewska, Justyna
    Kłos, Sławomir
    Dostatni, Ewa
    Powiązania:
    https://bibliotekanauki.pl/articles/2173720.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    assessment of sustainability
    enterprise resource planning system
    ERP system
    Polish manufacturing company
    case study
    ocena trwałości
    system planowania zasobów przedsiębiorstwa
    system ERP
    firma produkcyjna polska
    studium przypadku
    Opis:
    Increasing the role of sustainable production benefits in transforming manufacturing towards the sustainable organisation. The proposed model integrates two dimensions, namely, the Sustainable Business Model (SBM) and the Enterprise Resource Planning (ERP) system, and defines it as the SBM-ERP. This paper focuses attention on determining SBM-ERP based on the literature research, Fuzzy Analytical Hierarchy Process (F-AHP) method and the results of the analysis on the experiences with the implementation of the ERP system in manufacturing. It was determined that the proprietary approach allows the company’s sustainable manufacturing activities to be organised and monitored, based on real-time data and information, as updated and included in the ERP system. We also emphasized the practicality of the proposed approach for managers of manufacturing companies with an implemented ERP system.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 6; art. no. e143829
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Influence of protein deficient diet, vitamin B2 supplementation and physical training on serum composition of polyunsaturated fatty acids (PUFAs) in rats
    Autorzy:
    Lewicka, Aneta
    Lewicki, Sławomir
    Kłos, Anna
    Dębski, Bogdan
    Kurył, Tomasz
    Bertrandt, Jerzy
    Powiązania:
    https://bibliotekanauki.pl/articles/989797.pdf
    Data publikacji:
    2017
    Wydawca:
    Instytut Medycyny Wsi
    Tematy:
    protein malnutrition
    vitamin b2
    training
    pufa
    Opis:
    Introduction. Prolonged shortages of protein in the diet significantly alter the composition and content of polyunsaturated fatty acids (PUFA) in tissues and body fluids. One of nutritional factors which may reduce negative effects of protein malnutrition might be vitamin B2 due to its influence on lipids metabolism. Objective. The aim of the study was to investigate the influence of low protein (LP) diet enriched with vitamin B2 on the content and composition of PUFA in the blood serum of rats treated with dosed physical exercise. Materials and method. The experiment was carried out for 3 months on 72 growing male Wistar rats divided into 5 groups. Animals were fed ad libitum on a diet with an energy value of 350 kcal/100 g, in which 4.5% of the energy was provided by protein. In the control diet, 20% of the energy was provided by protein. Two groups were fed the diet enriched with vitamin B2. The two groups of tested animals were trained for 5 days a week. Results. LP diet caused a decrease in α-linolenic acid (ALA) after 30 days, and a decrease in docosahexaenoic acid (DHA) after 60 days of experiment, compared with rats fed the control diet. After 60 and 90 days of the experiment, a significant decrease was noted in arachidonic acid (AA) in serum of trained rats, compared with sedentary rats fed the LP diet. Physical activity increased LA (mainly on day 30), EPA (on day 90) and reduced AA content (on day 90) in serum of rats fed the LP diet. B2 supplementation in the trained LP group did not change the EPA and AA dependence; however, there was a decrease in LA content in comparison to the non-supplemented trained group. Conclusions. Results of this study suggest that all investigated factors (protein deficiency, physical exercise and supplementation of vitamin B2) have significant impact on PUFA composition of serum in rats.
    Źródło:
    Annals of Agricultural and Environmental Medicine; 2017, 24, 2
    1232-1966
    Pojawia się w:
    Annals of Agricultural and Environmental Medicine
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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