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    Wyświetlanie 1-8 z 8
    Tytuł:
    Simulation Modeling in Production Effectiveness Improvement – Case Study
    Autorzy:
    Burduk, Anna
    Łapczynska, Dagmara
    Popiel, Piotr
    Powiązania:
    https://bibliotekanauki.pl/articles/1841424.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    simulation
    model
    batch
    resource
    efficiency
    computer application
    production
    Opis:
    The paper deals with the problem of production material flow management. The proper way of logistic tasks management has an impact on the production process effectiveness and the cycle time, which is a very important factor in manufacturing. Reducing the production process cycle time results not only in the ability to provide more customers with orders but also in increasing the level of resources usage (machines, operators etc.). In order to reach the aim of improving production effectiveness, the simulation modeling was used. It is a computer method that supports a decision-making process and allows to perform experiments on production without interfering with the real process. The paper also includes a risk analysis performed to evaluate the imperfections of simulation modeling, based on the rules of fuzzy logic.
    Źródło:
    Management and Production Engineering Review; 2021, 12, 2; 75-85
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A computer aided analysis and forecasting of gas reservoir production
    Autorzy:
    Żygas, Wojciech
    Blicharski, Jacek
    Rybicki, Czesław
    Powiązania:
    https://bibliotekanauki.pl/articles/2203343.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    optymalizacja
    analiza numeryczna
    produkcja gazu
    computer application
    optimization
    gas production
    energy conditions
    numerical analysis
    Opis:
    The article presents a methodology for analysing historical gas production data and determining the gas reserves and the petrophysical parameters of a reservoir-aquifer system. These parameters are obtained from a fitting algorithm using production data sets. A forecast of the future field gas production can be created on the calibrated mathematical model basis. The developed method is based on the material balance assumptions and the widely used Fetkovich and van Everdingen-Hurst equations for calculating water influx. To conduct the calculations and analyse production data, the computer application was developed using Python programming language. A user-friendly graphical interface makes the proposed application convenient and intuitive to use. The software was calibrated based on the literature data from the gas field of known parameters and then validated using five case studies of the actual gas fields in the Polish Carpathian Foredeep. From the tests, very high compatibility between the computed and the real field values were obtained. An additional comparison with the commercial program MatBal confirmed the proper functioning of the application.
    Źródło:
    Archives of Mining Sciences; 2022, 67, 4; 565--601
    0860-7001
    Pojawia się w:
    Archives of Mining Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of instance-based learning for cast iron casting defects prediction
    Autorzy:
    Sika, Robert
    Szajewski, Damian
    Hajkowski, Jakub
    Popielarski, Paweł
    Powiązania:
    https://bibliotekanauki.pl/articles/407199.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    soft modelling
    instance-based learning
    k-nearest neighbours algorithm
    cast iron casting defects
    computer application
    Opis:
    The paper presents an example of Instance-Based Learning using a supervised classification method of predicting selected ductile cast iron castings defects. The test used the algorithm of k-nearest neighbours, which was implemented in the authors’ computer application. To ensure its proper work it is necessary to have historical data of casting parameter values registered during casting processes in a foundry (mould sand, pouring process, chemical composition) as well as the percentage share of defective castings (unrepairable casting defects). The result of an algorithm is a report with five most possible scenarios in terms of occurrence of a cast iron casting defects and their quantity and occurrence percentage in the casts series. During the algorithm testing, weights were adjusted for independent variables involved in the dependent variables learning process. The algorithms used to process numerous data sets should be characterized by high efficiency, which should be a priority when designing applications to be implemented in industry. As it turns out in the presented mathematical instance-based learning, the best quality of fit occurs for specific values of accepted weights (set #5) for number k = 5 nearest neighbours and taking into account the search criterion according to “product index”.
    Źródło:
    Management and Production Engineering Review; 2019, 10, 4; 101-107
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A computer-aided application for modeling and monitoring operational and maintenance information in mining trucks
    Wspomagany komputerowo program do modelowania i monitoringu informacji dotyczących pracy i serwisowania górniczych pojazdów
    Autorzy:
    Nikulin, C.
    Ulloa, A.
    Carmona, C.
    Creixell, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/219941.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    niezawodność
    zabezpieczenie
    aplikacja wspomagana komputerowo
    reliability
    maintainability
    computer-aided application
    Opis:
    The combination of maintenance planning and key performance indicators are relevant to create a more holistic scenario of the mining activities. On the one hand, reliability and maintainability are system characteristics suitable for planning maintenance strategies. On the other hand, key performance indicators are suitable to analyze cost and resource consumption information about mining equipment. Nevertheless in practice, both approaches are modeled separately and frequently by different team-works of a mining company. With this in mind, a computer-aided application was conceived to drive with better efficacy the operational and maintenance strategy in a complex process where the equipment is in continuous movement such as the transportation process in an open-mine pit.
    Połączenie planowania eksploatacji i działań zabezpieczających i analizy głównych wskaźników wydajności stanowi podstawę opracowania holistycznego scenariusza prowadzenia prac wydobywczych. Z jednej strony mamy niezawodność i możliwość eksploatacji jako elementy charakterystyczne układu. Z drugiej strony, analiza podstawowych wskaźników wydajności wykorzystywana jest do obliczenia kosztów, zużycia zasobów przy wykorzystaniu sprzętu górniczego. W praktyce jednak, aspekty te modelowane są osobno, zazwyczaj przez różne zespoły badawcze w ramach kopalni. Mając to na uwadze, opracowano aplikację wspomaganą komputerowo dla generowania większej wydajności eksploatacji i prac zabezpieczających w ramach niezwykle złożonego procesu w którym sprzęt pozostaje w ciągłym ruchu, jak ma to miejsce w przypadku procesu transportu w kopalni odkrywkowej.
    Źródło:
    Archives of Mining Sciences; 2016, 61, 3; 695-708
    0860-7001
    Pojawia się w:
    Archives of Mining Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Open Atlas of Defects as a Supporting Knowledge Base for Cast Iron Defects Analysis
    Autorzy:
    Sika, R.
    Rogalewicz, M.
    Kroma, A.
    Ignaszak, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/379986.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    cast iron
    castings defects
    data acquisition
    NDT
    computer application
    żeliwo
    wady odlewów
    pozyskiwanie danych
    aplikacja komputerowa
    Opis:
    A significant development of the foundry industry contributes to the creation of high reliability and operational strength castings so that they meet specific standards in accordance with customers’ needs. This technology, however, is inseparably connected with casting defects in finished products. Cast products are subject to various defects which are considered acceptable or not, which is conditioned by the alloy chemical composition and strength characteristics, that is, generally – qualities to be agreed between the foundry and the customer. It is the latter that led the authors to research on designing a tool enabling the most reliable possible assessment of the emerging casting defects, which after proper consultations can be repaired and the casting – sold. The paper presents an original tool named the Open Atlas of Defects (OAD), developed for the last few years to support the evaluation of cast iron defects using Non-Destructive Testing (NDT) casting defects analysis tools (DCC card – Demerit Control Chart, Pareto-Lorenz analysis and ABC analysis). The OAD tool structure was presented as an integral part of the original system module for acquisition and data mining (A&DM) in conjunction with the possibilities of using selected tools for defect analysis support on the example of cast iron casting.
    Źródło:
    Archives of Foundry Engineering; 2020, 20, 1; 55-60
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cause-effect Analysis Using A&DM System for Casting Quality Prediction
    Autorzy:
    Sika, R.
    Ignaszak, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/380630.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    cast iron
    castings defects
    data acquisition
    exploratory data analysis
    computer application
    żeliwo
    wady odlewów
    pozyskiwanie danych
    analiza danych
    aplikacja komputerowa
    Opis:
    The paper indicates the significance of the problem of foundry processes parameters stability supervision and assessment. The parameters, which can be effectively tracked and analysed using dedicated computer systems for data acquisition and exploration (Acquisition and Data Mining systems, A&D systems) were pointed out. The state of research and methods of solving production problems with the help of computational intelligence systems (Computational Intelligence, CI) were characterised. The research part shows capabilities of an original A&DM system in the aspect of selected analyses of recorded data for cast defects (effect) forecast on the example of a chosen iron foundry. Implementation tests and analyses were performed based on selected assortments for grey and nodular cast iron grades (castings with 50 kg maximum weight, casting on automatic moulding lines for disposable green sand moulds). Validation tests results, applied methods and algorithms (the original system’s operation in real production conditions) confirmed the effectiveness of the assumptions and application of the methods described. Usability, as well as benefits of using A&DM systems in foundries are measurable and lead to stabilisation of production conditions in particular sections included in the area of use of these systems, and as a result to improvement of casting quality and reduction of defect number.
    Źródło:
    Archives of Foundry Engineering; 2020, 20, 2; 5-12
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Vision-based parking lot occupancy evaluation system using 2D separable discrete wavelet transform
    Autorzy:
    Kłosowski, M.
    Wójcikowski, M.
    Czyżewski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/201876.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    computer vision
    discrete wavelet transform
    sensor system
    sensor application
    wizja komputerowa
    czujnik
    dyskretna transformata falkowa
    Opis:
    A simple system for rough estimation of the occupancy of an ad-hoc organized parking lot is presented. A reasonably simple microprocessor hardware with a low resolution monochrome video camera observing the parking lot from the location high above the parking surface is capable of running the proposed 2-D separable discrete wavelet transform (DWT)-based algorithm, reporting the percentage of the observed parking area occupied by cars. A simple calibration is needed – the mask covering all the areas outside the parking lot must be prepared. The proposed system has been tested on the dedicated FPGA-based hardware in real conditions and proven immune to scene and light changes. As it is discussed in the paper, it can be used in low-power wireless sensor networks.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2015, 63, 3; 569--573
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of ALSV(FD) logic and XTT knowledge representation in the range of ADI properties
    Autorzy:
    Regulski, K.
    Wilk-Kołodziejczyk, D.
    Rojek, B.
    Kluska-Nawarecka, S.
    Adrian, W. T.
    Powiązania:
    https://bibliotekanauki.pl/articles/380492.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    foundry production
    computer aided foundry
    application of information technologies
    ADI
    ALSV
    rule based XTT format
    odlewnia
    odlewy
    komputerowe wspomaganie odlewni
    zastosowanie technologii informatycznych
    Opis:
    The objective of studies presented in this publication was structuring of research knowledge about the ADI functional properties and changes in these properties due to material treatment. The results obtained were an outcome of research on the selection of a format of knowledge representation that would be useful in further work aiming at the design, application and implementation of an effective system supporting the decisions of a technologist concerning the choice of a suitable material (ADI in this case) and appropriate treatment process (if necessary). ALSV(FD) logic allows easy modelling of knowledge, which should let addressees of the target system carry out knowledge modelling by themselves. The expressiveness of ALSV (FD) logic allows recording the values of attributes from the scope of the modelled domain regarding ADI, which is undoubtedly an advantage in the context of further use of the logic. Yet, although the logic by itself does not allow creating the rules of knowledge, it may form a basis for the XTT format that is rule-based notation. The difficulty in the use of XTT format for knowledge modelling is acceptable, but formalism is not suitable for the discovery of rules, and therefore the knowledge of technologist is required to determine the impact of process parameters on values that are functional properties of ADI. The characteristics of ALSV(FD) logic and XTT formalism, described in this article, cover the most important aspects of a broadly discussed, full evaluation of the applicability of these solutions in the construction of a system supporting the decisions of a technologist.
    Źródło:
    Archives of Foundry Engineering; 2016, 16, 2; 75-78
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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