Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Multi Criteria Decision Making (MCDM)" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-11 z 11
    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:
    A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies
    Autorzy:
    Kokoç, Melda
    Ersöz, Süleyman
    Powiązania:
    https://bibliotekanauki.pl/articles/2100434.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    multi-criteria decision-making
    review
    interval-valued intuitionistic fuzzy set
    MCDM
    MADM
    Opis:
    Multi-criteria decision-making (MCDM) is one of the most popular problems handled by researchers in the literature. Since the interval-valued intuitionistic fuzzy set (IVIFS) theory generates as realistic as possible evaluation of linguistic expressions, researchers have been expanding traditional MCDM methods to the IVIF environment, especially in the last decade. This study provides a literature review of the relevant articles from several academic databases on applications of IVIF-MCDM methods. The review of 131 publications addresses specific research questions. To understand the research publication trend, this review offers a visual analysis that examines the studies from different perspectives, such as application areas, IVIF-MCDM methods, citations, most relevant journals, and validation methods. One of the most remarkable results of the literature review is that most publications in this field are published in SCIE indexed journals. Another noteworthy issue is that China is the country that produces the most articles in this field. In addition, English journals are mostly selected for the publication of articles. While it is seen that the investment selection problem is chosen mostly as the application area, the TOPSIS method is preferred mostly in the applications. This study stands out as the most comprehensive one that compiles publications containing extended traditional MCDM methods for IVIF sets. This review will be an important reference for future researchers and decision-makers involved in advancing MCDM methods considering vagueness and ambiguity.
    Źródło:
    Operations Research and Decisions; 2021, 31, 4; 89--116
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimum site selection for oil spill response center in the Marmara Sea using the AHP-TOPSIS method
    Autorzy:
    Koseoglu, B.
    Buber, M.
    Toz, A. C.
    Powiązania:
    https://bibliotekanauki.pl/articles/205446.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    oil spill
    MCDM
    multi-criteria decision-making
    Marmara Sea
    AHP-TOPSIS
    Response Center
    Opis:
    The aim of this study is to determine the optimum location for an oil spill response center in the Marmara Sea. The analytic hierarchy process (AHP) and technique for the order of preference by similarity to ideal solution (TOPSIS) method as the most preferred multi-criteria decision-making (MCDM) technique were used. The results reveal that the LOC criterion and PRA sub-criterion have the highest effects on the optimal location selection of the oil spill response center. According to the results, the most suitable location for the oil spill response center in the region is Izmit Bay Entrance. This location has been proposed for the response headquarters to manage the whole operation with the assistance of auxiliary installations in the area. In this study, only technical and operational variables are taken into account, but political and administrative criteria are excluded.
    Źródło:
    Archives of Environmental Protection; 2018, 44, 4; 38-49
    2083-4772
    2083-4810
    Pojawia się w:
    Archives of Environmental Protection
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prioritizing Key Business Actions of an Indian Automobile Industry Using Efficient Interpretive Ranking Process (eIRP)
    Autorzy:
    Kumar, Sumit
    Gupta, Pardeep
    Powiązania:
    https://bibliotekanauki.pl/articles/2023984.pdf
    Data publikacji:
    2021-09
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Multi Criteria Decision Making
    MCDM
    system flexibility
    SAP-LAP
    eIRP
    business excellence
    cost management
    Opis:
    Management processes in an organization involve decision-making based on many criteria (MCDM), and in this process ranking of variables plays a vital role. This paper presents the analysis of key business issues of an Indian automotive organization using an efficient interpretive ranking (eIRP) approach. This paper integrates the Situation-Actor-Process (SAP) and Learning-Action-Performance (LAP) framework of the organization with eIRP. It evaluates the ranking of actions to be carried out in an organization with respect to performance parameters. The study highlights the area where the organization should focus on achieving desired business excellence. From the analysis, it is revealed that the top-ranked suggested action for the organization is the adoption of energy policy as a core business policy followed by technology management, maintenance management, and the use of information technology for cost management. This case study is one of the few that uses the SAP-LAP framework for ranking the actors and actions of the organization using the eIRP approach, to make MCDM an easy task.
    Źródło:
    Management and Production Engineering Review; 2021, 13, 3; 74-83
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    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:
    Multi-criteria Decision Making Using Hybrid methods for Supplier Selection in the Clothing Industry
    Autorzy:
    Lahdhiri, Mourad
    Babay, Amel
    Jmali, Mohamed
    Powiązania:
    https://bibliotekanauki.pl/articles/2171958.pdf
    Data publikacji:
    2022
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
    Tematy:
    multi-criteria decision-making
    MCDM
    supplier selection
    AHP-TOPSIS
    AHP-WPM
    AHP-WSM
    apparel supply chain
    Opis:
    Supplier selection and evaluation are among the most critical issues in supply chain management, affecting companies’ performance because of the important role of suppliers in the chain’s profitability. For this reason, it is important for companies to have an objective methodology to evaluate and choose an appropriate supplier based on convenient criteria in a competitive market. Determination of a convenient supplier selection is a multi-criteria decision-making (MCDM) problem. In the literature, several applications of the MCDM methods for supplier evaluation and selection can be found; however, research studies in the clothing industry are still limited. Indeed, apparel supply chain managers have to consider their supplier-related decisions to reduce risks affecting the company’s performance. This study aims to fill this gap by providing apparel manufacturers with different hybrid models for selecting the best supplier. According to a literature review and questionnaire conducted, the main criteria related to supplier selection were identified and determined. Then, the analytic hierarchy process method was performed to determine the criteria’s weights, and then suppliers were ranked using hybrid multicriteria decision-making models (AHP-TOPSIS, AHP-WSM, and AHP-WPM) to select the suitable one in the apparel chain. This research methodology can be considered useful for apparel companies and other industries.
    Źródło:
    Fibres & Textiles in Eastern Europe; 2022, 2 (151); 23--34
    1230-3666
    2300-7354
    Pojawia się w:
    Fibres & Textiles in Eastern Europe
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Using TOPSIS and AHP Methods in Job Distribution to Subcontractors in Apparel Companies and Comparing the Results
    Zastosowanie metod TOPSIS i AHP w dystrybucji pracy wśród podwykonawców w firmach odzieżowych – porównywanie wyników
    Autorzy:
    Bulur, Öykü Ceren
    Kayar, Mahmut
    Powiązania:
    https://bibliotekanauki.pl/articles/1857703.pdf
    Data publikacji:
    2021
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
    Tematy:
    multi criteria decision making
    MCDM
    job distribution
    supplier selection
    TOPSIS
    AHP
    apparel
    wielokryterialne podejmowanie decyzji
    dystrybucja pracy
    wybór dostawców
    odzież
    Opis:
    The ready-to-wear sector is one of the areas where outsourcing is used extensively due to reasons such as being a labour-intensive sector, having a wide range of products, and the time pressure caused by the very short shelf life of the product. Therefore, garment companies work with a large number of subcontractors, which raises the problem as to which subcontractor/subcontractors work will be distributed to as well as how much to each subcontractor. Using multi-criteria decision-making methods in solving this complex problem helps decision-makers make the right decisions. From this point of view, multi-criteria decision-making methods are very important decision-making tools in terms of the optimal distribution of work to subcontractors. Within the scope of the study, the TOPSIS and AHP methods were used to distribute orders to subcontractors and compared.
    Sektor odzieżowy jest jednym z obszarów, w których szeroko stosowany jest outsourcing, głównie z takich powodów, jak: pracochłonność sektora, szeroka gama produktów oraz presja czasowa spowodowana bardzo krótkim okresem trwałości produktu. Dlatego firmy odzieżowe współpracują z dużą liczbą podwykonawców, co rodzi problem, do jakiego podwykonawcy/podwykonawców zostanie przydzielona praca, a także do jakiej kwoty zostanie przydzielona każdemu z podwykonawców. W podejmowaniu właściwych decyzji w kwestii tego złożonego problemu pomaga decydentom możliwość korzystania z wielokryterialnych metod podejmowania decyzji. Z tego punktu widzenia wielokryterialne metody podejmowania decyzji są bardzo ważnymi narzędziami decyzyjnymi z punktu widzenia optymalnego podziału pracy na podwykonawców. W ramach badania wykorzystano metody TOPSIS i AHP do dystrybucji zamówień do podwykonawców i porównano je.
    Źródło:
    Fibres & Textiles in Eastern Europe; 2021, 4 (148); 24-31
    1230-3666
    2300-7354
    Pojawia się w:
    Fibres & Textiles in Eastern Europe
    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:
    Selection of Robot for Contour Crafting Using Analytical Hierarchy Process
    Autorzy:
    Senthilraja, S.
    Raja, Muthaiah R.C.
    Powiązania:
    https://bibliotekanauki.pl/articles/27314864.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    multi criteria decision making
    MCDM
    robotization in construction
    contouring
    analytical hierarchy process
    AHP
    wielokryterialne podejmowanie decyzji
    robotyzacja w budownictwie
    konturowanie
    proces hierarchii analitycznej
    Opis:
    The use of robotic equipment and a new technique called contour crafting allows for the construction of buildings at lower labor and material costs. The selection of the type of robot is an important factor that affects the overall performance of the contour crafting (CC) system. Various robot configurations, such as gantry, cylindrical, and SCARA, may be employed for contour crafting. There are benefits and drawbacks to using different types of robots for various tasks, including cost, work volume, material compatibility, and precision. Identifying a proper robot using the multi-criterion decision-making (MCDM) technique is crucial for successful building automation. This article uses the analytical hierarchy process (AHP) method to rank the best robots according to several characteristics. Cartesian robots, cylindrical robots, and SCARA robots were evaluated based on cost, accuracy, work volume, surface finish, type of profile, and speed. The results showed that the gantry-type robot is the most suitable option, while the cylindrical robot is unsuitable for building construction due to lower accuracy.
    Źródło:
    Civil and Environmental Engineering Reports; 2023, 33, 4; 123--150
    2080-5187
    2450-8594
    Pojawia się w:
    Civil and Environmental Engineering Reports
    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
    Tytuł:
    Comparative analysis of multi-criteria decision making methods for the assessment of optimal SVC location
    Autorzy:
    Aydin, Faruk
    Gümüş, Bilal
    Powiązania:
    https://bibliotekanauki.pl/articles/2173650.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Borda count method
    FACTS
    MCDM
    optimal location
    PSAT
    voltage stability
    flexible alternating current transmission system
    power system analysis toolbox
    multi criteria decision making
    metoda liczenia Bordy
    podejmowanie decyzji wielokryterialnej
    lokalizacja optymalna
    stabilność napięcia
    elastyczne systemy przesyłowe prądu przemiennego
    narzędzia do analizy systemu zasilania
    Opis:
    The goal of multi-criteria decision making (MCDM) is to select the most appropriate of the alternatives by evaluating many conflicting criteria together. MCDM methods are widely available in the literature and have been used in various energy problems. The key problems studied in electrical power systems in recent years have included voltage instability and voltage collapse. Different flexible alternating current transmission systems (FACTS) equipment has been used for this purpose for decades, increasing voltage stability while enhancing system efficiency, reliability and quality of supply, and offering environmental benefits. Finding the best locations for these devices in terms of voltage stability in actual electrical networks poses a serious problem. Many criteria should be considered when determining the most suitable location for the controller. The aim of this paper is to provide a comparative analysis of MCDM techniques to be used for optimal location of a static VAR compensator (SVC) device in terms of voltage stability. The ideal location can be determined by means of sorting according to priority criteria. The proposed approach was carried out using the Power System Analysis Toolbox (PSAT) in MATLAB in the IEEE 14-bus test system. Using ten different MCDM methods, the most appropriate locations were compared among themselves and a single ranking list was obtained, integrated with the Borda count method, which is a data fusion technique. The application results showed that the methods used are consistent among themselves. It was revealed that the integrated model was an appropriate method that could be used for optimal location selection, providing reliable and satisfactory results to power system planners.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 2; art. no. e140555
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-11 z 11

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies