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    Wyświetlanie 1-3 z 3
    Tytuł:
    Improving the effectiveness of proceedings with disagreements in a production process with applying of report 8D
    Autorzy:
    Pacana, Andrzej
    Czerwińska, Karolina
    Powiązania:
    https://bibliotekanauki.pl/articles/104164.pdf
    Data publikacji:
    2020
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    8D report
    KPIs
    production process
    quality management
    raport 8D
    proces produkcji
    zarządzanie jakością
    Opis:
    The aim of the study is to use the 8D methodology to solve the production problem, which was the incorrect installation of the rings in the piston designed for excavators. The idea of the method used is to correctly identify the causes of the problem and implement corrective actions to prevent recurrence of the problem. In order to detect as many potential causes of non-compliance as possible, the working team conducted brainstorming sessions and then developed the Ishikawa diagram. Team members found that the most common source of the problem was human error. In order to eliminate it, it was decided to carry out a series of training courses and to additionally equip assembly stations. The presented methodology of solving quality problems can be implied in every production company.
    Źródło:
    Quality Production Improvement - QPI; 2020, 2, 1; 172-179
    2657-8603
    Pojawia się w:
    Quality Production Improvement - QPI
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An improving the occupational risk assessment in industrial enterprises
    Autorzy:
    Siwiec, Dominika
    Woźny, Artur
    Pacana, Andrzej
    Powiązania:
    https://bibliotekanauki.pl/articles/1830770.pdf
    Data publikacji:
    2021
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    risk assessment
    production engineering
    mechanical engineering
    fuzzy analytic hierarchy process
    PN-N-18002
    ocena ryzyka
    inżynieria produkcji
    inżynieria mechaniczna
    proces rozmytej hierarchii analitycznej
    Opis:
    An occupational risk assessment is one of the main processes to assure a safe and healthy workplace. It was shown, that this process is particularly important in the cause of industrial enterprises, in which the number of accidents is the largest. In these enterprises, one of the most often practiced methods is the PN-N-18002 method. However, it was concluded this method has some limitations. They concern the way of assessing the risks in the traditional number scale, which is less precise than the fuzzy triangular number (using in FAHP). Therefore, the aim is to improve the process of assessment in industrial enterprises by integrated the PN-N-18002 method with the FAHP method (Fuzzy Analytic Hierarchy Process). The test of the proposed method was made for three machine operator positions used to aggregate extraction in one of the Podkarpacie enterprises. These positions were: loader operator (Ł-34), digger operator (CAT 323), dredge operator (300/250 KREBS 10/8). The concept of the method was to identify in a precise way what is the greatest extent danger to the operators of these workplaces. It was shown, that it is the work at height. It was concluded, that this method can be practice to risk assessment of other workplaces, among others from industrial enterprises. The originality is the integrated risk assessment method (PN-N-18002) with the fuzzy multicriteria decision method (FAHP) as part of achieving the precise results of risk assessment.
    Źródło:
    System Safety : Human - Technical Facility - Environment; 2021, 3, 1; 260-267
    2657-5450
    Pojawia się w:
    System Safety : Human - Technical Facility - Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An improving the occupational risk assessment in industrial enterprises
    Autorzy:
    Siwiec, Dominika
    Woźny, Artur
    Pacana, Andrzej
    Powiązania:
    https://bibliotekanauki.pl/articles/1831314.pdf
    Data publikacji:
    2021
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    risk assessment
    production engineering
    mechanical engineering
    fuzzy analytic hierarchy process
    PN-N-18002
    ocena ryzyka
    inżynieria produkcji
    inżynieria mechaniczna
    proces rozmytej hierarchii analitycznej
    Opis:
    An occupational risk assessment is one of the main processes to assure a safe and healthy workplace. It was shown, that this process is particularly important in the cause of industrial enterprises, in which the number of accidents is the largest. In these enterprises, one of the most often practiced methods is the PN-N-18002 method. However, it was concluded this method has some limitations. They concern the way of assessing the risks in the traditional number scale, which is less precise than the fuzzy triangular number (using in FAHP). Therefore, the aim is to improve the process of assessment in industrial enterprises by integrated the PN-N-18002 method with the FAHP method (Fuzzy Analytic Hierarchy Process). The test of the proposed method was made for three machine operator positions used to aggregate extraction in one of the Podkarpacie enterprises. These positions were: loader operator (Ł-34), digger operator (CAT 323), dredge operator (300/250 KREBS 10/8). The concept of the method was to identify in a precise way what is the greatest extent danger to the operators of these workplaces. It was shown, that it is the work at height. It was concluded, that this method can be practice to risk assessment of other workplaces, among others from industrial enterprises. The originality is the integrated risk assessment method (PN-N-18002) with the fuzzy multicriteria decision method (FAHP) as part of achieving the precise results of risk assessment.
    Źródło:
    System Safety : Human - Technical Facility - Environment; 2021, 3, 1; 260-267
    2657-5450
    Pojawia się w:
    System Safety : Human - Technical Facility - Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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