Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Kołwzan, Wiktor" wg kryterium: Wszystkie pola

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-3 z 3
    Tytuł:
    Non-extreme variant of support management model of a production-supply system with the structural process of product supply
    Autorzy:
    Galanc, Tadeusz
    Kołwzan, Wiktor
    Pieronek, Jerzy
    Powiązania:
    https://bibliotekanauki.pl/articles/406393.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    production-supply system
    process
    product supply
    non-extremal state
    set of equations
    system produkcji
    system dostaw
    proces
    dostawa produktu
    Opis:
    The paper is dedicated to building a probabilistic analysis method of functioning a productionsupply system with the structural process of product supply. This analysis is carried out in the nonextreme variant of warehouse filling level to which two independent streams of production (of the product) are directed by means of a transport subsystem. For this variant, four sets of equations that fulfilled the density function determining state probabilities of a multidimensional process characterizing operations of the system examination were derived.
    Źródło:
    Operations Research and Decisions; 2019, 29, 2; 43-53
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Risk estimation and decision making in management (in selected areas of science)
    Autorzy:
    Galanc, Tadeusz
    Kołwzan, Wiktor
    Pieronek, Jerzy
    Skowronek-Grądziel, Agnieszka
    Powiązania:
    https://bibliotekanauki.pl/articles/406314.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    risk estimation methods
    risk categories
    decision making
    management
    Opis:
    Risk is a category that is inseparably connected with uncertainty and probability, which means that the nature of risk as a category of science is complex, and the concept of risk is very difficult to define by one conceptual system of modern science. Due to the above, the main research hypothesis of the work is oriented to the assumption that the complexity of the risk category is determined by the diversity (variety) of reality, as a result of which in science there is currently no uniform methodology for risk assessment and estimation. As a result, the main goal of the article is to describe the research area based on selected representative methods of risk estimation and logical decision-making schemes, as well as to systematise the knowledge about the methodology used in them. In the article, the authors illustrate risk estimation with examples developed by themselves and quoted from various fields of science, differing from one another in formal terms in quantitative and qualitative (numerical and content-verbally) dimensions. Strategic risk, risk of fraction estimation, Bayesian risk, Bayesian methods for estimation of population distribution parameters, risk of econometric model assessment, interest rate risk, banking risk, and adverse event as a measure of risk are here addressed. The article also focuses on the problem of risk estimation in terms of the theory of fractals. The work is to have not only cognitive but also practical meaning. The created source of knowledge should prove helpful for decision-makers in the area of management since effective process management requires the expertise of risk estimation in various dimensions and using various mathematical tools.
    Źródło:
    Operations Research and Decisions; 2020, 30, 1; 47-66
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies