Logistics Service Provider Selection through an Integrated Fuzzy Multicriteria Decision Making Approach
Author(s) -
Gülşen Akman,
Kasım Baynal
Publication year - 2014
Publication title -
journal of industrial engineering
Language(s) - English
Resource type - Journals
eISSN - 2314-4890
pISSN - 2314-4882
DOI - 10.1155/2014/794918
Subject(s) - topsis , selection (genetic algorithm) , analytic hierarchy process , service provider , multiple criteria decision analysis , fuzzy logic , operations research , computer science , ideal solution , service (business) , order (exchange) , integrated logistics support , preference , business , process management , marketing , engineering , mathematics , artificial intelligence , statistics , physics , finance , thermodynamics
Nowadays, the demand of third-party logistics provider becomes an increasingly important issue for companies to improve their customer service and to decrease logistics costs. This paper presents an integrated fuzzy approach for the evaluation and selection of 3rd party logistics service providers. This method consists of two techniques: (1) use fuzzy analytic hierarchy process to identify weights of evaluation criteria; (2) apply fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method to evaluate and sequence alternatives and to make the final selection. Finally, an actual industrial application is performed in logistics department of a tire manufacturing company. For this, first, eight logistics supplier selection criteria were determined, and then the best alternative among seven logistics service provider companies was selected by the proposed method
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