A hybrid data analytic methodology for 3PL transportation provider evaluation using fuzzy multi-criteria decision making

Adile Yesim Yayla, Asil Oztekin, Alev Taskin Gumus, Angappa Gunasekaran

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

Abstract

Third-party logistics (3PL) service provider selection for a strategic alliance is not an easy decision, and is constantly associated with uncertainty and complexity. For this reason, in this study, a hybrid fuzzy multi-criteria decision-making methodology is proposed to provide a systematic decision support tool for 3PL provider evaluation, especially for 3PL transportation provider. The proposed evaluation methodology consists of several steps. First, the strategic goal and sub-attributes are identified for 3PL service provider evaluation. After constructing the hierarchy, Buckleys fuzzy-analytical hierarchy process (AHP) extension algorithm is used to determine the evaluation criteria weights. Then, by using fuzzy-AHP results as input weights, the fuzzy-Technique for Order Preference by Similarity to Ideal Solution technique is conducted in order to identify the most suitable third-party providers. Finally, a real-life case study in a confectionary company is presented to demonstrate the potential use of the methodology and a sensitivity analysis is performed to analyse the hybrid methodology proposed here. In the conclusion of the study, future recommendations are presented.

Original languageEnglish (US)
Pages (from-to)6097-6113
Number of pages17
JournalInternational Journal of Production Research
Volume53
Issue number20
DOIs
StatePublished - Oct 18 2015

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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