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    Wyświetlanie 1-4 z 4
    Tytuł:
    Classification of forecasting methods in production engineering
    Autorzy:
    Winkowski, Cezary
    Powiązania:
    https://bibliotekanauki.pl/articles/125637.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
    Tematy:
    forecasting
    forecasting method
    production engineering
    manufacturing company
    prognozowanie
    metoda prognozowania
    inżynieria produkcji
    zakład produkcyjny
    Opis:
    Business management is a continuous decision-making process. It is difficult to imagine a company that does not use forecasting techniques. Even small enterprises without relevant forecasting departments more or less consciously anticipate future events, forecasting the volume of production and setting directions for development. Today’s production companies must quickly adapt to changing customer requirements, implementing structural and technological changes and delivering projects related to the production of new products. Under the dynamically changing conditions, the functioning and effective management of modern enterprises depend on futureoriented information. This increases the validity of forecasting. This article aimed to identify forecasting methods and areas of their use in production engineering. The publications on this subject were reviewed in the Scopus database, using the time frame from January 1970 to June 2018. An original classification of research subareas was created using VOS viewer software, and then, a bibliometric map was developed to visualise the results of the word coexistence analysis. The analysis of the co-occurrence and co-classification of words made it possible to indicate research subareas of forecasting in production engineering and related emerging research areas and issues.
    Źródło:
    Engineering Management in Production and Services; 2019, 11, 4; 23-33
    2543-6597
    2543-912X
    Pojawia się w:
    Engineering Management in Production and Services
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Metoda diagnozy w procesie starzenia budynków mieszkalnych
    The method of diagnosis in the process of aging of residential buildings
    Autorzy:
    Nowogońska, Beata
    Powiązania:
    https://bibliotekanauki.pl/articles/160892.pdf
    Data publikacji:
    2019
    Wydawca:
    Polski Związek Inżynierów i Techników Budownictwa
    Tematy:
    budynek mieszkalny
    metoda diagnostyczna
    metoda prognozowania
    starzenie
    element budowlany
    residential building
    diagnostic method
    forecasting method
    ageing
    building component
    Opis:
    Perspektywiczna znajomość procesu starzenia budynku mieszkalnego jest potrzebna do zapewnienia jego odpowiedniego stanu technicznego przez cały okres użytkowania. W artykule zaproponowana jest metoda diagnozy procesu starzenia budynku – metoda PRRD (Prediction of Reliability according to Rayleigh Distribution). W metodzie tej zmiany właściwości użytkowych budynków w funkcji czasu są sposobem przewidywania uszkodzeń. Prognoza degradacji budynku powinna być pomocna w procesach reagowania na uszkodzenia starzeniowe obiektów, a stosowanie przez zarządców krzywych zagrożenia może być przydatne jako wspomaganie planowania przedsięwzięć remontowych.
    Prospective knowledge of the aging process of a residential building is necessary to ensure its appropriate technical condition throughout the entire exploitation period. The article proposes a method of diagnosis of residential building aging process – using the PRRD method (Prediction of Reliability according to Rayleigh Distribution). In this method, changes in performance characteristics of buildings in the time function constitute a way of predicting defects. Forecast of degradation of the building should be helpful in the processes of reacting to aging defects of the facilities, whereas the use of threat curves by managers can be useful as a support in planning renovation undertakings.
    Źródło:
    Przegląd Budowlany; 2019, 90, 7-8; 87-89
    0033-2038
    Pojawia się w:
    Przegląd Budowlany
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Forecasting return products in an integrated forward/reverse supply chain utilizing an ANFIS
    Autorzy:
    Kumar, D. T.
    Soleimani, H.
    Kannan, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/329809.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    artificial neural network
    adaptive network based fuzzy
    inference system
    closed loop supply chain
    forecasting methods
    fuzzy neural network
    sztuczna sieć neuronowa
    system wnioskowania
    metoda prognozowania
    sieć neuronowa rozmyta
    Opis:
    Interests in Closed-Loop Supply Chain (CLSC) issues are growing day by day within the academia, companies, and customers. Many papers discuss profitability or cost reduction impacts of remanufacturing, but a very important point is almost missing. Indeed, there is no guarantee about the amounts of return products even if we know a lot about demands of first products. This uncertainty is due to reasons such as companies’ capabilities in collecting End-of-Life (EOL) products, customers’ interests in returning (and current incentives), and other independent collectors. The aim of this paper is to deal with the important gap of the uncertainties of return products. Therefore, we discuss the forecasting method of return products which have their own open-loop supply chain. We develop an integrated two-phase methodology to cope with the closed-loop supply chain design and planning problem. In the first phase, an Adaptive Network Based Fuzzy Inference System (ANFIS) is presented to handle the uncertainties of the amounts of return product and to determine the forecasted return rates. In the second phase, and based on the results of the first one, the proposed multi-echelon, multi-product, multi-period, closed-loop supply chain network is optimized. The second-phase optimization is undertaken based on using general exact solvers in order to achieve the global optimum. Finally, the performance of the proposed forecasting method is evaluated in 25 periods using a numerical example, which contains a pattern in the returning of products. The results reveal acceptable performance of the proposed two-phase optimization method. Based on them, such forecasting approaches can be applied to real-case CLSC problems in order to achieve more reliable design and planning of the network.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2014, 24, 3; 669-682
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Applying blended foresight methods for revealing incentives and future strategies of key national innovation system players
    Autorzy:
    Chulok, Alexander
    Powiązania:
    https://bibliotekanauki.pl/articles/2086478.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
    Tematy:
    foresight method
    blended foresight
    technological change and its management
    national innovation system
    global trends
    new institutional economics
    planning models and polic
    metoda prognozowania
    mieszany foresight
    zmiana technologiczna
    krajowy system innowacji
    światowe trendy
    nowa ekonomia instytucjonalna
    planowanie modele i polityka
    Opis:
    The paper aims to develop and apply a methodological approach that could help to reveal incentives and future strategies of key National Innovation System (NIS) players considering the influence of global social, economic, scientific, technological and ecological trends. To fulfil this aim, a blended foresight methodology was applied, grounded on the platform of economic and classic foresight theory and considering four possible directions for using foresight methods: investigating and building a common vision; supporting evidence-based decisions; promoting communication and participation; inducing transformation and integration into the decision-making process. The main results and findings of the research include a list of 19 global trends, defined from literature analysis and the author’s expert knowledge, a short description of their influence on key NIS players, including society, business, infrastructure and institutions, science, education and government; and mapping more than 35 different foresight methods that could be used for revealing incentives and future strategies of key NIS players. The article’s theoretical contribution to economic theory consists of several parts. First, a NIS conception is examined through the prism of global trends and a dynamic aspect, whereas it is mostly investigated from statistical and static perspectives. Second, applying foresight as an instrument for researching NIS as a system is a developing academic area with some theoretical gaps, considered in this article by designing a conceptional research framework. Third, blending different foresight methods is always a craft, and the approach applied in this article contributes to it. Finally, the article presents several important trends which will appear in NIS and its key players’ transformation in the nearest 5–10 years. From practical implications, this article could be useful for proactive policymakers in the field of science, technology and innovation policy at national and regional levels for designing and providing measures for supporting innovation systems effectively. Foresight practitioners and experts are offered useful, practical ideas of different foresight methods and their possible combinations for everyday activities.
    Źródło:
    Engineering Management in Production and Services; 2021, 13, 4; 160--173
    2543-6597
    2543-912X
    Pojawia się w:
    Engineering Management in Production and Services
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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