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    Wyświetlanie 1-4 z 4
    Tytuł:
    Material Selection of Collapsible Pot Hauler and Finite Element Analysis Simulation Applied to the Selected Material
    Autorzy:
    Surya Hadi Saputra, Rahmad
    Iskandar, Budhi Hascaryo
    Kurniawati, Vita Rumanti
    Desrial, Desrial
    Purbayanto, Ari
    Powiązania:
    https://bibliotekanauki.pl/articles/2201910.pdf
    Data publikacji:
    2023
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    materials selection
    multi-criteria decision making
    MCDM
    finite element analysis
    FEA
    Opis:
    The current collapsible pot hauler uses a wooden frame, thus making much space in the working area of the fishing boat and also at this time challenging to find the best quality wood at this time. In this study, the wood material would replace by metal; the selection of the proper material is critically needed. A suitable material means the applied material has to deal with environmental conditions. Finding the appropriate material applied to the collapsible pot hauler; can be determined using a Multi-Criteria Decision Making (MCDM) approach. After selecting the proper material, the collapsible pot hauler simulates the material stress using the Finite Element Analysis (FEA) simulation. The material for the new model of collapsible pot hauler was selected using the WSM method. The material with the highest rank (selected) is AISI 304, with a preference value of 3.58. The static strength simulation using the FEA method utilizing Solidworks Software shows that the yield strength value is still below the material properties, which a maximum value is 200. MPa, the material safety factor is the minimum value above one, which is 1.24 on the line spool plate shafts. It means that the material AISI 304 is safe to be applied to the collapsible pot hauler.
    Źródło:
    Advances in Science and Technology. Research Journal; 2023, 17, 2; 289--298
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Use of the grey incidence analysis in the inland waterway transport system assessment
    Autorzy:
    Tabor, Joanna
    Powiązania:
    https://bibliotekanauki.pl/articles/24202589.pdf
    Data publikacji:
    2022
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    inland waterway transport
    IWT
    multi-criteria decision making
    MCDM
    grey systems theory
    GIA method
    Opis:
    Inland waterway transport (IWT) is currently in focus for EU countries due to a shift in policy towards a more sustainable and green economy. The aim of this article is to analyze the possibility of using a grey incidence analysis (GIA) to identify key factors related to the functioning of the IWT system. GIA is classified as a multi-criteria decision-making method and is one of the key applications of grey systems theory (GTS), i.e., systems with incomplete and uncertain information about structure and behavior. GIA identifies the most favorable (or quasi-preferred) system characteristics and the most favorable (or quasi-preferred) system factors. The identification of such characteristics and factors enables a reduction in the inconsistencies in decision making on the functioning of the system. The application of the GIA to the assessment of the IWT system is an original concept.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2022, 72 (144); 57--64
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A modified HEART – 4M method with TOPSIS for analyzing indonesia collision accidents
    Autorzy:
    Bowo, L. P.
    Prilana, R. E.
    Furusho, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1841582.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    human reliability assessment
    multi-criteria decision making
    MCDM
    error producing condition
    EPC
    HEART - 4M
    EPC - 4M
    human error probability
    HEP
    Opis:
    Human error is recognized as the most common factor that causes maritime accidents. The human error assessment and reduction technique (HEART) is a human reliability assessment (HRA) that has been widely applied in various industries. Furthermore, the HEART – 4M method has been proposed to assess maritime accidents. The HEART – 4M method can clearly define the relationship between man, machine, media, and management factors and the human error. However, the calculation process to determine the weight of every selected error-producing condition (EPC) suffers from the uncertainty of the assessor's estimation in practical applications, which may affect the objectivity of its result. In this study, a modification of the HEART – 4M method with the technique for order preference by similarity to ideal solution (TOPSIS) is proposed. TOPSIS is a multi-criteria decision making (MCDM) tool. This study aims to develop the HEART – 4M method to make it more comprehensive and objective when assessing maritime accidents. First, the parameter of the generic task is determined as in the conventional HEART method. Second, the causal factors are converted to the suitable EPC – 4M, and there are four classification factors for the 38 standard EPCs, which are divided into man, machine, media, and management factors. Third, the TOPSIS is applied to handle the problems of interdependencies and interaction among EPC – 4M and the uncertainty that exists in the assessor´s judgment. The proportion effect of each EPC – 4M is determined through TOPSIS by considering the correlation among EPC – 4M. Finally, thirteen collision data obtained from the National Transportation and Safety Committee of Indonesia are assessed to apply the proposed method.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 3; 751-759
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Decision-Making Process Development for Industry 4.0 Transformation
    Autorzy:
    Sajjad, Ahmad
    Ahmad, Wasim
    Hussain, Sulman
    Powiązania:
    https://bibliotekanauki.pl/articles/2201777.pdf
    Data publikacji:
    2022
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    analytical hierarchy process
    AHP
    technique for order of preference by similarity to ideal solution
    TOPSIS
    operational flexibility
    Industry 4.0
    multi-criteria decision making
    MCDM
    Opis:
    Development of design characteristics based dynamic decision support framework is presented in the current study, to facilitate the decision makers in the transformation of system in the industry 4.0 paradigm. The model development is designed for a robust decision-making approach to integrating human and machine knowledge to adopt smart technologies and system design. The system is based on prioritization of the industry 4.0 design principles and characteristics including flexibility, self-adaptability, self-reconfigurability, context awareness, decision autonomy, and real-time capabilities. It has been revealed from an industrial field study, the companies facing difficulty to transform the system, and systematics approach needed to overcome the challenge. A decision support process has been developed as an integrated approach to embedding human knowledge. The developed process has been validated using Technique for Order of Preference by Similarity to Ideal Solution, the results depict the operational flexibility, has been most crucial transformation characteristics prioritized using the Analytical Hierarchical Process. The developed process has the capability to help the system development and estimate the factors involved in the transformation.
    Źródło:
    Advances in Science and Technology. Research Journal; 2022, 16, 3; 1--11
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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