Yıl 2021, Cilt 5 , Sayı 1, Sayfalar 676 - 687 2021-06-30

Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector

Fulya ZARALI [1]


Green Supplier Selection is a mandatory function of green supply chain management and has an strategic importance for enterprises to preserve their competitiveness. GSS is an important element in the pass to sustainable supply chain design and management. Therefore, it is important to provide a well-functioning green supplier decision-making system to enterprises and it is a critical process for them. In this study, a selection model including green criteria was proposed for GSS. In order to appear the praticticability and efficacy of the recommended model, a real-world case analysis is showned. The results of this paper proved that the recommended model could resolve the GSS problem well by considering the uncertainties associated with the decisions of experts.
Green supply chain management, Green Supplier Selection, Multi-criteria decision making problems, Intuitionistic fuzzy TOPSIS
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Birincil Dil en
Konular Endüstri Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Orcid: 0000-0002-7796-1040
Yazar: Fulya ZARALI (Sorumlu Yazar)
Kurum: Kayseri Üniversitesi, Develi Hüseyin Şahin Meslek Yüksek Okulu
Ülke: Turkey


Tarihler

Başvuru Tarihi : 21 Mart 2021
Kabul Tarihi : 19 Mayıs 2021
Yayımlanma Tarihi : 30 Haziran 2021

Bibtex @araştırma makalesi { jtom900810, journal = {Journal of Turkish Operations Management}, issn = {2630-6433}, eissn = {2630-6433}, address = {İletişim Bilgileri/Contact Information: Ankara Yıldırım Beyazıt Üniversitesi Mühendislik ve Doğa Bilimleri Fakültesi Endüstri Mühendisliği Bölümü 15 Temmuz Şehitleri Binası Ayvalı Mah. Halil Sezai Erkut Cad. 150. Sok. Etlik/Ankara}, publisher = {Ankara Yıldırım Beyazıt Üniversitesi}, year = {2021}, volume = {5}, pages = {676 - 687}, doi = {}, title = {Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector}, key = {cite}, author = {Zaralı, Fulya} }
APA Zaralı, F . (2021). Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector . Journal of Turkish Operations Management , 5 (1) , 676-687 . Retrieved from https://dergipark.org.tr/tr/pub/jtom/issue/63460/900810
MLA Zaralı, F . "Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector" . Journal of Turkish Operations Management 5 (2021 ): 676-687 <https://dergipark.org.tr/tr/pub/jtom/issue/63460/900810>
Chicago Zaralı, F . "Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector". Journal of Turkish Operations Management 5 (2021 ): 676-687
RIS TY - JOUR T1 - Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector AU - Fulya Zaralı Y1 - 2021 PY - 2021 N1 - DO - T2 - Journal of Turkish Operations Management JF - Journal JO - JOR SP - 676 EP - 687 VL - 5 IS - 1 SN - 2630-6433-2630-6433 M3 - UR - Y2 - 2021 ER -
EndNote %0 Journal of Turkish Operations Management Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector %A Fulya Zaralı %T Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector %D 2021 %J Journal of Turkish Operations Management %P 2630-6433-2630-6433 %V 5 %N 1 %R %U
ISNAD Zaralı, Fulya . "Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector". Journal of Turkish Operations Management 5 / 1 (Haziran 2021): 676-687 .
AMA Zaralı F . Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector. JTOM. 2021; 5(1): 676-687.
Vancouver Zaralı F . Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector. Journal of Turkish Operations Management. 2021; 5(1): 676-687.
IEEE F. Zaralı , "Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector", Journal of Turkish Operations Management, c. 5, sayı. 1, ss. 676-687, Haz. 2021