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

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ULUTAŞ A.

SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING, vol.32, no.1, pp.171-181, 2021 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 32 Issue: 1
  • Publication Date: 2021
  • Doi Number: 10.7166/32-1-2126
  • Journal Name: SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Compendex, Directory of Open Access Journals
  • Page Numbers: pp.171-181
  • Inonu University Affiliated: Yes

Abstract

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.