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    Tytuł:
    Maintenance 4.0 technologies – new opportunities for sustainability driven maintenance
    Autorzy:
    Jasiulewicz-Kaczmarek, Małgorzata
    Legutko, Stanislaw
    Kluk, Piotr
    Powiązania:
    https://bibliotekanauki.pl/articles/407249.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Maintenance 4.0
    smart maintenance
    data-driven maintenance
    sustainable maintenance
    Opis:
    Digitalization and sustainability are important topics for manufacturing industries as they are affecting all parts of the production chain. Various initiatives and approaches are set up to help companies adopt the principles of the fourth industrial revolution with respect sustainability. Within these actions the use of modern maintenance approaches such as Maintenance 4.0 is highlighted as one of the prevailing smart & sustainable manufacturing topics. The goal of this paper is to describe the latest trends within the area of maintenance management from the perspective of the challenges of the fourth industrial revolution and the economic, environmental and social challenges of sustainable development. In this work, intelligent and sustainable maintenance was considered in three perspectives. The first perspective is the historical perspective, in relation to which evolution has been presented in the approach to maintenance in accordance with the development of production engineering. The next perspective is the development perspective, which presents historical perspectives on maintenance data and data-driven maintenance technology. The third perspective, presents maintenance in the context of the dimensions of sustainable development and potential opportunities for including data-driven maintenance technology in the implementation of the economic, environmental and social challenges of sustainable production.
    Źródło:
    Management and Production Engineering Review; 2020, 11, 2; 74-87
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of Principle Component Analysis and logistic regression to support Six Sigma implementation in maintenance
    Autorzy:
    Antosz, Katarzyna
    Jasiulewicz-Kaczmarek, Małgorzata
    Machado, Jose
    Relich, Marcin
    Powiązania:
    https://bibliotekanauki.pl/articles/28328274.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    maintenance management
    Six Sigma generation
    DMAIC
    PCA
    logistic regression
    Opis:
    Improving the efficiency of maintenance processes is one of the goals of companies. Improvement activities in this area require not only an appropriate maintenance strategy but also the use of a new approach to increase the efficiency of the process. This article focuses on using Six Sigma (SS) to improve maintenance processes. As an introduction, the generations of SS development are identified, and traditional and advanced analytical tools that can be useful in SS projects are reviewed. As part of the research, an example of the implementation of the SS project in the maintenance process using the DMAIC and selected advanced analytical methods, such as PCA and logistic regression, was presented. The PCA results showed that it was enough to have seven main components to keep about 84% of the information on variability. In developed logistic regression explained the impact of the individual factors affecting the availability of the machines. The identified factors and their interactions made it possible to define maintenance activities requiring improvements
    Źródło:
    Eksploatacja i Niezawodność; 2023, 25, 4; art. no. 174603
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of machine learning and rough set theory in lean maintenance decision support system development
    Autorzy:
    Antosz, Katarzyna
    Jasiulewicz-Kaczmarek, Małgorzata
    Paśko, Łukasz
    Zhang, Chao
    Wang, Shaoping
    Powiązania:
    https://bibliotekanauki.pl/articles/2038009.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    lean maintenance
    availability
    machine learning
    decision trees
    rough set theory
    Opis:
    Lean maintenance concept is crucial to increase the reliability and availability of maintenance equipment in the manufacturing companies. Due the elimination of losses in maintenance processes this concept reduce the number of unplanned downtime and unexpected failures, simultaneously influence a company’s operational and economic performance. Despite the widespread use of lean maintenance, there is no structured approach to support the choice of methods and tools used for the maintenance function improvement. Therefore, in this paper by using machine learning methods and rough set theory a new approach was proposed. This approach supports the decision makers in the selection of methods and tools for the effective implementation of Lean Maintenance.
    Źródło:
    Eksploatacja i Niezawodność; 2021, 23, 4; 695-708
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Framework of machine criticality assessment with criteria interactions
    Autorzy:
    Jasiulewicz–Kaczmarek, Małgorzata
    Antosz, Katarzyna
    Żywica, Patryk
    Mazurkiewicz, Dariusz
    Sun, Bo
    Ren, Yi
    Powiązania:
    https://bibliotekanauki.pl/articles/1841665.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    machine criticality assessment
    assessment criteria
    assessment methods
    interactions
    Opis:
    Criticality is considered as a fundamental category of production planning, maintenance process planning and management. The criticality assessment of machines and devices can be a structured set of activities allowing to identify failures which have the greatest potential impact on the company’s business goals. It can be also used to define maintenance strategies, investment strategies and development plans, assisting the company in prioritizing their allocations of financial resources to those machines and devices that are critical in accordance with the predefined business criteria. In a criticality assessment process many different and interacting criteria have to be taken into consideration, despite the fact that there is a high level of uncertainty related to various parameters. In addition, not all assessment criteria are equally important. Therefore, it is necessary to determine the weight of each criterion taking into account different requirements of machine criticality process stakeholders. That is why a novel model of a machine criticality assessment is proposed in this paper. The model extends the existing methods of assessing machines criticality, taking into account not only the importance of machine criticality assessment criteria, but also possible interactions between them.
    Źródło:
    Eksploatacja i Niezawodność; 2021, 23, 2; 207-220
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Failure-based sealing reliability analysis considering dynamic interval and hybrid uncertainties
    Autorzy:
    Sun, Bo
    Yang, Xi
    Ren, Yi
    Wang, Zili
    Antosz, Katarzyna
    Loska, Andrzej
    Jasiulewicz-Kaczmarek, Małgorzata
    Powiązania:
    https://bibliotekanauki.pl/articles/1841699.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    reliability analysis
    dynamic interval
    hybrid uncertainty
    physics of failure
    sealing
    Opis:
    In the reliability analysis of a sealing structure, radial clearance of the contact surface is usually regarded as a failure criterion, and the sample size is usually quite small, which brings great challenges to uncertainty quantification. Therefore, this paper proposes a reliability analysis method based on the leakage mechanism of the sealing. With the application of dynamic interval, the proposed method can be used to deal with problem of degradation in small sample to evaluate reliability. Moreover, the dynamic reliability with the mixture of the probabilistic and non-probabilistic variables can be obtained using the proposed method. An illustrative numerical case study of a spool valve is conducted in order to validate the proposed method and the implemented reliability sensitivity analysis. The proposed method is of great help in evaluating and predicting reliability with small degradation sample and hybrid uncertainties.
    Źródło:
    Eksploatacja i Niezawodność; 2021, 23, 2; 278-284
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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