Informacja

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

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


Wyświetlanie 1-2 z 2
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:
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
    Wyświetlanie 1-2 z 2

    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