SÜRDÜRÜLEBİLİRLİK, RİSKLER VE SEZGİSEL BULANIK ORTAM ALTINDA SIRALAMA PROBLEMLERİ İÇİN ÇOK KRİTERLİ GRUP KARAR VERME YÖNTEMİ

Bu makale, sezgisel bulanık bir ortamda sıralama problemlerini düzgün bir şekilde yönetmek için bir grup karar verme mekanizması sunmaktadır. Sezgisel bulanık küme teorisi kapsamında çok kriterli karar verme (MCDM) yöntemi olan TOPSIS kullanılmaktadır. Bu çözüm tekniğinde karar verme problemlerinde kullanılan birtakım kriterler, karar vericiler grubunun tercihleri ve karar vericilerin önem düzeyleri incelenmektedir. Yöneticiler, sıralama yöntemlerini tedarikçi değerlendirme kararlarını vermek için güvenilir bir teknik olarak kullanır. Ayrıca, COVID-19 döneminden sonra tedarik zinciri malzeme sıkıntısı, ulaşım sorunları vb. sıkıntılardan muzdariptir, pratik ve kapsamlı bir araca olan ihtiyaç açıktır. Prosedürü adım adım detaylandırarak önerilen tekniğin uygulanabilirliğini göstermek için, COVID-19 sonrası dönemde sürdürülebilirliği ve riskleri dikkate alan bir tedarikçi seçimi sorununa ilişkin örnek bir vaka kullanılmıştır. Sonuçlar, sunulan metodolojinin diğer alanlara da uygulanabilir olduğunu göstermektedir.

A MULTI-CRITERIA GROUP DECISION-MAKING METHOD FOR OUTRANKING PROBLEMS UNDER SUSTAINABILITY, RISKS, AND INTUITIONISTIC FUZZY ENVIRONMENT

This paper presents a group decision-making mechanism to properly manage outranking problems in an intuitionistic fuzzy environment. TOPSIS, outranking multi-criteria decision-making (MCDM) method, is utilized under intuitionistic fuzzy set theory. A set of criteria employed in decision-making problems, the preferences of a group of decision-makers, and the importance levels of decision-makers are examined in this solution technique. Managers use the outranking methods as a reliable technique for making supplier evaluation decisions. Furthermore, the supply chain suffers from the shortage of materials, transportation problems etc. post COVID-19 era, the need for a practical, and exhaustive tool is explicit. An illustrative case on a supplier selection problem considering sustainability and risks in the post-COVID-19 era is used to demonstrate the applicability of the proposed technique by detailing the procedure step by step. The results show that the presented methodology is applicable to the other areas.

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Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi-Cover
  • ISSN: 1308-2922
  • Yayın Aralığı: Yılda 6 Sayı
  • Başlangıç: 2008
  • Yayıncı: Pamukkale Üniversitesi