W kierunku zrównoważonego zarządzania łańcuchami dostaw podczas pandemii COVID-19, ocena kryteriów wyboru najlepszych dostawców: analiza Potrójnej Linii Przewodniej (TBL)

Maryam Khokhar

maryamkhokhar@stumail.ysu.edu.cn
School of Economics and Management Yanshan University (Chiny)

Sayma Zia


Bahria Business School, Department of Business Studies, Bahria University Karachi Campus, Karachi (Pakistan)

Tahir Islam


Dept. of Management, Faculty of Management, Prague University of Economics and Business, (Czechy)

Anshuman Sharma


Ajman University, Department of Marketing, College of Business Administration, (Zjednoczone Emiraty Arabskie)

Wasim Iqbal


Shenzhen University, Department of Management Science, College of Management, C (Chiny)

Muhammad Irshad


Yanshan University, College of Computer Science and Technology (Chiny)

Abstrakt

Zrównoważone zarządzanie łańcuchem dostaw (SSCM) staje się coraz bardziej istotne w kontekście konsumentów, organizacji nastawionych na zysk i organizacji bez zysku oraz przepisy ustawowe i wykonawcze do społecznej i korporacyjnej odpowiedzialności konsumentów. Zostało docenione przez praktyków i naukowców. Wybór dostawcy, efekt środowiskowy, taki jak blokada, oraz współpraca społeczna i inne programy SSCM mogą odgrywać ważną rolę w realizacji Potrójnej linii przewodniej
(TBL) pomocy ekonomicznej, środowiskowej i społecznej. W zarządzaniu łańcuchem dostaw (SCM) zrównoważony wybór dostawców (SSS) i wydajność firmy odgrywają ważną rolę. Tradycyjnie, podczas oceny wyników SSS, organizacje będą rozważać nowe ramy w celu uzyskania ogólnych kryteriów/podkryteriów indeksu rozwoju, poprzez enkapsulację zrównoważonego rozwoju. W niniejszym artykule zebrano 12 kryteriów cząstkowych dla 3 filarów zrównoważonego rozwoju, takich jak wyniki gospodarcze, środowiskowe i społeczne. Chociaż istnieje wiele artykułów na temat SSS i ewaluacji, jak dotąd badania dotyczące kwestii zrównoważonego rozwoju są bardzo ograniczone. Niniejsze badanie ma na celu zaproponowanie rozmytego, wielokryterialnego podejścia do omówienia planowania SSCM i bada kwestię określenia obecnego modelu SSS w łańcuchu dostaw podczas COVID-19 w oparciu o metodę TBL. Aby wyrazić wartość językową subiektywnej preferencji ekspertów, używamy trójkątnych liczb rozmytych. Stosując liczby rozmyte do znalezienia standardowych wag do jakościowej oceny wydajności, proponuje się następnie rozmyte TOPSIS (Technika uporządkowania preferencji według podobieństwa do idealnego rozwiązania) w celu znalezienia rankingu SSS. Stwierdzono, że pandemia COVID-19 wywiera negatywny wpływ na SSS i wydajność firmy. Sytuacja zablokowania z powodu pandemii COVID-19 także ma negatywny wpływ na wyniki organizacji. Pomoc stanowi nowa metoda, analizowana w niniejszym artykule.


Słowa kluczowe:

zrównoważone zarządzanie łańcuchem dostaw, SSCM, Potrójna linia przewodnia (TBL), Zrównoważony wybór dostawcy (SSS), Technika uporządkowania preferencji według podobieństwa do rozwiązania idealnego (TOPSIS), COVID-19

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Opublikowane
2022-01-03

Cited By / Share

Khokhar, M., Zia, S., Islam, T., Sharma, A., Iqbal, W., & Irshad, M. (2022). W kierunku zrównoważonego zarządzania łańcuchami dostaw podczas pandemii COVID-19, ocena kryteriów wyboru najlepszych dostawców: analiza Potrójnej Linii Przewodniej (TBL). Problemy Ekorozwoju Problems of Sustainable Development, 17(1), 36–51. https://doi.org/10.35784/pe.2022.1.04

Autorzy

Maryam Khokhar 
maryamkhokhar@stumail.ysu.edu.cn
School of Economics and Management Yanshan University Chiny

Autorzy

Sayma Zia 

Bahria Business School, Department of Business Studies, Bahria University Karachi Campus, Karachi Pakistan

Autorzy

Tahir Islam 

Dept. of Management, Faculty of Management, Prague University of Economics and Business, Czechy

Autorzy

Anshuman Sharma 

Ajman University, Department of Marketing, College of Business Administration, Zjednoczone Emiraty Arabskie

Autorzy

Wasim Iqbal 

Shenzhen University, Department of Management Science, College of Management, C Chiny

Autorzy

Muhammad Irshad 

Yanshan University, College of Computer Science and Technology Chiny

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