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    Wyświetlanie 1-8 z 8
    Tytuł:
    A Strategic Roadmap to Improve the Maturity Level of Maintenance Information Management Systems
    Autorzy:
    Tortora, Alessia Maria Rosaria
    Di Pasquale, Valentina
    Iannone, Raffaele
    Powiązania:
    https://bibliotekanauki.pl/articles/24200514.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    industrial maintenance
    maintenance management information systems
    MMIS
    small and medium enterprises
    SME
    maintenance maturity models
    Opis:
    Maintenance involves a large amount of data management. Although many tools, strategies, and systems, have been developed to organize the maintenance information resources, SMEs have not found the same benefits as large companies due to their inherent characteristics and, above all, the maturity level of the maintenance department. Maturity models are useful tools for assessing the maturity of maintenance information practices; however, existing models are not suitable for any type of business context, as they required companies to have a clear organizational structure and definite informative infrastructure. Moreover, they do not assist in identifying and defining actions to reach the highest level. This paper proposes a model for assessing and improving maintenance management information practices. It allows a clear measure of the maturity of the maintenance information management practices in industrial contexts and provides improvement actions identifying the information and data needed to enhance maintenance management information practices.
    Źródło:
    Management and Production Engineering Review; 2023, 14, 3; 98--117
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Predicting length of fatigue cracks by means of machine learning algorithms in the small-data regime
    Autorzy:
    Badora, Maciej
    Sepe, Marzia
    Bielecki, Marcin
    Graziano, Antonino
    Szolc, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2038115.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    empirical models
    fatigue cracks
    predictive maintenance
    regression analysis
    small data
    statistical learning
    turbomachinery
    Opis:
    In this paper several statistical learning algorithms are used to predict the maximal length of fatigue cracks based on a sample composed of 31 observations. The small-data regime is still a problem for many professionals, especially in the areas where failures occur rarely. The analyzed object is a high-pressure Nozzle of a heavy-duty gas turbine. Operating parameters of the engines are used for the regression analysis. The following algorithms are used in this work: multiple linear and polynomial regression, random forest, kernel-based methods, AdaBoost and extreme gradient boosting and artificial neural networks. A substantial part of the paper provides advice on the effective selection of features. The paper explains how to process the dataset in order to reduce uncertainty; thus, simplifying the analysis of the results. The proposed loss and cost functions are custom and promote solutions accurately predicting the longest cracks. The obtained results confirm that some of the algorithms can accurately predict maximal lengths of the fatigue cracks, even if the sample is small.
    Źródło:
    Eksploatacja i Niezawodność; 2021, 23, 3; 575-585
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Use of Selected Adaptive Models to Forecast Accidents During the Repair, Maintenance, Installation of Machines and Equipment
    Autorzy:
    Małysa, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2064889.pdf
    Data publikacji:
    2020
    Wydawca:
    STE GROUP
    Tematy:
    work safety
    forecasting
    prognostic models
    maintenance
    machinery installed
    equipment
    accident repair
    Opis:
    In the article the possibility of using selected adaptive models to forecast accidents at work during repairing, maintaining and installing machines, was presented. On the basis of statistical data on persons injured in accidents at work (2009-2018), the process of their forecasting was carried out (for 2019 and the years 2019-2021) and the errors of expired forecasts were determined. Prediction of empirical data allowed for the assessment of accident rates among persons injured in total accidents and allowed for the assessment of the state of occupational safety in the area with was analyzed. The presented models can be used to assess accidents in other sectors of the economy and be a tool used to assess the state of occupational safety in an enterprise.
    Źródło:
    Multidisciplinary Aspects of Production Engineering; 2020, 3, 1; 141--149
    2545-2827
    Pojawia się w:
    Multidisciplinary Aspects of Production Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Measuring Goal-Oriented Requirements Language Actor Stability
    Autorzy:
    Hassine, Jameleddine
    Alshayeb, Mohammad
    Powiązania:
    https://bibliotekanauki.pl/articles/384139.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    goal models
    Goal-oriented Requirements Language
    GRL
    stability
    metrics
    maintenance
    Opis:
    Background: Goal models describe interests, preferences, intentions, desired goals and strategies of intervening stakeholders during the early requirements engineering stage. When capturing the requirements of real-world systems such as socio-technical systems, the produced goal models evolve quickly to become large and complex. Hence, gaining a sufficient level of understanding of such goal models, to perform maintenance tasks, becomes more challenging. Metric-based approaches have shown good potential in improving software designs and making them more understandable and easier to maintain. Aim: In this paper, we propose a novel metric to measure GRL (Goal-oriented Requirements Language) “actor stability” that provides a quantitative indicator of the actor maintainability. Method: We first, validate the proposed metric theoretically then empirically using a case study of a GRL model describing the fostering of the relationship between the university and its alumni. Results: The proposed actor stability metric is found to have significant negative correlation with the maintenance effort of GRL models. Conclusions: Our results show that the proposed metric is a good indicator of GRL actors’ stability.
    Źródło:
    e-Informatica Software Engineering Journal; 2019, 13, 1; 203-226
    1897-7979
    Pojawia się w:
    e-Informatica Software Engineering Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Degradation-Threshold-Shock model for a system. The case of dependent causes of failure in finite-time
    Autorzy:
    Caballé, N. C.
    Castro, I. T.
    Powiązania:
    https://bibliotekanauki.pl/articles/2069176.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
    Tematy:
    condition-based maintenance
    degradation-threshold-shock models
    finite-time analysis
    gamma process
    Opis:
    This paper deals with a condition-based maintenance strategy (CBM) in finite-time horizon for a system subject to two different causes of failure, internal degradation and sudden shocks. Internal degradation is modelled under a gamma process and sudden shocks arrive at the system following a non-homogeneous Poisson process (NHPP). Both causes of failure are considered as dependent. When a sudden shock takes places, the system fails. In addition, the system is regarded to fail when the deterioration level reaches a critical threshold. Under this functioning scheme, a CBM strategy is developed for controlling the reliability of the system. Traditionally, this strategy is developed under an asymptotic approach. Hence, considering an infinite-time horizon is not always possible. In this paper, we analyse a CBM strategy under a finite-time horizon developing a recursive method which estimates the expected cost rate based on numerical integration and Monte Carlo simulation. A numerical example is provided in order to illustrate this complex maintenance model.
    Źródło:
    Journal of Polish Safety and Reliability Association; 2016, 7, 1; 13--20
    2084-5316
    Pojawia się w:
    Journal of Polish Safety and Reliability Association
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Model adaptacyjnego algorytmu wspomagania decyzji w systemie utrzymania ruchu
    A model of adaptive algorithm for maintenance decision support system
    Autorzy:
    Kosicka, E.
    Mazurkiewicz, D.
    Gola, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/339925.pdf
    Data publikacji:
    2016
    Wydawca:
    Polskie Towarzystwo Zarządzania Produkcją
    Tematy:
    predykcyjne utrzymanie ruchu
    modele predykcyjne
    awarie sprzętu
    diagnozowanie usterek
    predictive maintenance
    predictive models
    equipment failure
    fault diagnosis
    Opis:
    Currently used predictive maintenance systems predict future events by monitoring residual processes using the enforced predictive model. Despite the benefits resulting from their implementation in companies (e.g. savings resulting from preventing failure), it is necessary to draw attention to the fact that such models lack flexibility in adapting to the dynamically changing values of observation vectors due to real-time readout which can provide more accurate predictions. The paper proposes a model of adaptive algorithm for maintenance decision support system which - depending on the changing parameters of residual processes - selects an adequate mathematical model based on predictive and in-formative criteria. Moreover, to produce more accurate predictions this model uses additional input data for prediction including values of residual processes as well as technical or quality-related aspects due to the extended range of observed factors that affect failure occurrence. The proposed model additionally contains a maintenance decision-related part which - based on the information about actions taken by maintenance services - generates a constrained optimal time interval for performing the necessary maintenance work.
    Źródło:
    Zarządzanie Przedsiębiorstwem; 2016, 19, 4; 29-35
    1643-4773
    Pojawia się w:
    Zarządzanie Przedsiębiorstwem
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Models of logistic support systems
    Autorzy:
    Nowakowski, T.
    Werbińska-Wojciechowska, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/2069667.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
    Tematy:
    logistic support system
    maintenance modelling
    inventory models
    procurement process
    Opis:
    We present an overview of some recent developments in the area of inventory planning and maintenance scheduling issues. The emphasis is on spare part inventory models, which authors divided into four main groups of models: models of optimal spare part inventory policy for system under PM, number of spare parts optimization models, storage reliability models, multi-echelon systems models. Later, in the paper there is considered the time dependent system of systems where the system total task must be executed during the constrained time resource. There is used the simulation approach to investigate the influence of parameters of the procurement process (order quantity, critical inventory level, lead-time length) on the system of systems behavior.
    Źródło:
    Journal of Polish Safety and Reliability Association; 2009, 2; 325--344
    2084-5316
    Pojawia się w:
    Journal of Polish Safety and Reliability Association
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Model integracji analiz RAMS w ramach systemu utrzymania ruchu klasy CMMS
    Model of RAMS analysis methodology integration in CMMS systems
    Autorzy:
    Pietrzyk, A.
    Uhl, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/327532.pdf
    Data publikacji:
    2008
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    utrzymanie maszyn
    metody RAMS
    systemy CMMS
    maintenance models
    CMMS
    RAMS methods
    Opis:
    Metody związane z analizą niezawodności, gotowości i bezpieczeństwa systemów technicznych (ang. Reliability, Availability, Maintainability and Safety), odgrywają coraz większą rolę w planowaniu produkcji i utrzymaniu parku maszynowego. Coraz powszechniej przedsiębiorstwa produkcyjne wykorzystują lub wdrażają systemy klasy CMMS (ang. Computerised Maintenance Management System). W publikacji przedstawiono potrzebę oraz koncepcję ogólnego modelu systemu informatycznego integrującego analizy RAMS w ramach funkcjonalności systemu CMMS. Proponowane rozwiązanie umożliwia modelowania procesów eksploatacji w oparciu o zbierane rzeczywiste dane eksploatacyjne.
    RAMS methodology can play significant role in formulating maintenance and production schedules. Computerized Maintenance Management Systems are widely used by manufacturers yet and still will be used in future. This paper discuss need for integration, presents concept and model of software platform for integrated RAMS centered CMMS system. Presented system aids in creating different RAMS analysis documents based on real data collected during system operation.
    Źródło:
    Diagnostyka; 2008, 1(45); 171-174
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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