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    Wyświetlanie 1-5 z 5
    Tytuł:
    Application of uncertainty analysis based on Monte Carlo (MC) simulation for life cycle inventory (LCI)
    Zastosowanie analizy niepewności opartej na symulacji Monte Carlo (MC) do inwentaryzacji cyklu życia (LCI)
    Autorzy:
    Sala, Dariusz
    Bieda, Bogusław
    Powiązania:
    https://bibliotekanauki.pl/articles/319107.pdf
    Data publikacji:
    2019
    Wydawca:
    Polskie Towarzystwo Przeróbki Kopalin
    Tematy:
    Monte Carlo simulation
    uncertainty analysis
    life cycle inventory
    symulacja Monte Carlo
    analiza niepewności
    inwentaryzacja cyklu życia
    Opis:
    The use of Monte Carlo (MC) simulation was presented in order to assess uncertainty in life cycle inventory (LCI) studies. The MC method is finded as an important tool in environmental science and can be considered the most effective quantification approach for uncertainties. Uncertainty of data can be expressed through a definition of probability distribution of that data (e.g. through standard deviation or variance). The presented case in this study is based on the example of the emission of SO2, generated during energy production in Integrated Steel Power Plant (ISPP) in Kraków, Poland. MC simulation using software Crystal Ball® (CB), software, associated with Microsoft® Excel, was used for the uncertainties analysis. The MC approach for assessing parameter uncertainty is described. Analysed parameter (SO2,) performed in MC simulation were assigned with log-normal distribution. Finally, the results obtained using MC simulation, after 10,000 runs, more reliable than the deterministic approach, is presented in form of the frequency charts and summary statistics. Thanks to uncertainty analysis, a final result is obtained in the form of value range. The results of this study will encourage other researchers to consider this approach in their projects, and the results of this study will encourage other LCA researchers to consider the uncertainty in their projects and bring closer to industrial application.
    Źródło:
    Inżynieria Mineralna; 2019, 21, 2/2; 264-269
    1640-4920
    Pojawia się w:
    Inżynieria Mineralna
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Geochemistry of waters and bottom sediments in landslide lakes in Babiogórski National Park
    Autorzy:
    Sala, Dariusz
    Rzepa, Grzegorz
    Powiązania:
    https://bibliotekanauki.pl/articles/2086487.pdf
    Data publikacji:
    2011
    Wydawca:
    Polskie Towarzystwo Mineralogiczne
    Tematy:
    bottom sediments
    water
    trace elements
    Babiogórski National Park
    Opis:
    The aim of this work was to assess the contamination of the landslide lakes located within Babiogórski National Park. For this purpose, samples of water and bottom sediment from 12 lakes were collected. Chemical analyses of the waters (including main cation and anion concentrations, trace-metal levels and selected physicochemical parameters) and of the sediments (including heavy metals) were performed. The waters are acidic to neutral and are characterized by low mineralization. Concentrations of trace elements are commonly low. Elevated levels of Fe, Mn and Al are probably related to natural geochemical processes. The sediments are strongly contaminated by Cd, whereas other trace metals levels are at their hydrogeochemical background. The high level of Cd contamination is most probably related to long-range industrial emissions.
    Źródło:
    Mineralogia; 2011, 42, 1; 63--72
    1899-8291
    1899-8526
    Pojawia się w:
    Mineralogia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Koncepcja systemu ekspertowego szacowania kosztów wytwarzania
    The concept of the expert system in estimating production cost
    Autorzy:
    Sala, Dariusz
    Mazur, Zygmunt
    Powiązania:
    https://bibliotekanauki.pl/articles/415050.pdf
    Data publikacji:
    2000
    Wydawca:
    Małopolska Wyższa Szkoła Ekonomiczna w Tarnowie
    Tematy:
    production management
    production costs
    expert systems
    zarządzanie produkcją
    koszty produkcji
    systemy ekspertowe
    Opis:
    In the modern market economy aimed at meeting customer needs, a special role is played by a fast and reliable answer to the offer inquiries. The methods used so far have been too time-consuming, because they require planning of the entire technological process, which is costly and involves a series of tedious and timely calculations. That is why it is necessary to develop such a method of evaluating production costs that would enable to provide a fast answer to the offer inquiry at minimal cost of its development. The paper presents the concept of the new method of production costs calculations using the expert system to determine the similarity of costs based on the similarity of technology applied.
    Artykuł zawiera charakterystykę koncepcji systemu ekspertowego szacowania kosztów wytwarzania. Autorzy omawiają zasady budowy systemu ekspertowego do szacowania kosztów wyrobów oraz etapy budowy przykładowego systemu ekspertowego.
    Źródło:
    Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej w Tarnowie; 2000, 3; 193-201
    1506-2635
    Pojawia się w:
    Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej w Tarnowie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Life Cycle Inventory (LCI) Stochastic Approach Used for Rare Earth Elements (REEs), Considering Uncertainty
    Autorzy:
    Sala, Dariusz
    Bieda, Bogusław
    Powiązania:
    https://bibliotekanauki.pl/articles/2020124.pdf
    Data publikacji:
    2021
    Wydawca:
    Polskie Towarzystwo Przeróbki Kopalin
    Tematy:
    Life cycle inventory (LCI)
    stochastic approach
    rare earth elements (REEs)
    LCA
    inwentaryzacja cyklu życia
    analiza stochastyczna
    pierwiastki ziem rzadkich
    Opis:
    The purpose of the paper is to present the results of the stochastic modelling with uncertainty performed with the use of Monte Carlo (MC) simulation with 10,000 cycles and a confidence interval of 95 %, as recommended. Analysed REEs were fitted by lognormal distributions by using the Crystal Ball® (CB) spreadsheet-based software after defining the geometric mean value (μg) and the standard deviation (σg), automatically calculated (matches) the lower, as well as, upper boundaries of lognormal distribution. The number of replications of a simulation affects the quality of the results. The principal output report provided by CB and presented in this study consists of the graphical representation in the form of the frequency chart, percentiles summary, and statistics summary. Additional CB options provide a sensitivity analysis with tornado diagrams. The data that was used for MC simulation of the LCI model includes available and published data concerning associated with the REEs. This paper discusses the results and show that the adopted approach is applicable for any REEs used in the LCI studies under uncertainty. The results obtained from this study can be used as the first step in performing a full LCA analysis and help practitioners as well as decision-makers in the environmental engineering and management.
    Źródło:
    Inżynieria Mineralna; 2021, 2; 283--291
    1640-4920
    Pojawia się w:
    Inżynieria Mineralna
    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
      Wyświetlanie 1-5 z 5

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