A GREY HYBRID MODEL TO SELECT THE OPTIMAL THIRD-PARTY LOGISTICS PROVIDER

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ULUTAŞ A.

SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING, cilt.32, sa.1, ss.171-181, 2021 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 32 Sayı: 1
  • Basım Tarihi: 2021
  • Doi Numarası: 10.7166/32-1-2126
  • Dergi Adı: SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Compendex, Directory of Open Access Journals
  • Sayfa Sayıları: ss.171-181
  • İnönü Üniversitesi Adresli: Hayır

Özet

Enterprises need to work with a proper third-party logistics provider to reduce costs and increase their logistics performance; so the third-party logistics (3PL) provider selection problem is a significant one for them. In this study, grey step-wise weight assessment ratio analysis (SWARA) and grey combinative distance-based assessment (CODAS) are proposed to address this problem. To the best of the authors' knowledge, no other study uses grey SWARA and grey CODAS together to solve any problem. Therefore a new grey hybrid model incorporating grey SWARA and grey CODAS is proposed to identify the best 3PL provider.