Evaluation and Selection of Nigerian Third-Party Logistics Service Providers Using Multi-Criteria Decision Models

Ejem E.A. (), Uka C.M. (), Dike D.N. (), Ikeogu C.C. (), Igboanusi C.C. () and Chukwu O.E. ()
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Ejem E.A.: Federal University of Technology, Owerri, Imo State, Nigeria, Department of Transport Management Technology
Uka C.M.: Federal University of Technology, Owerri, Imo State, Nigeria, Department of Transport Management Technology
Dike D.N.: Federal University of Technology, Owerri, Imo State, Nigeria, Department of Transport Management Technology
Ikeogu C.C.: Federal University of Technology, Owerri, Imo State, Nigeria, Department of Transport Management Technology
Igboanusi C.C.: Federal University of Technology, Owerri, Imo State, Nigeria, Department of Transport Management Technology
Chukwu O.E.: Federal University of Technology, Owerri, Imo State, Nigeria, Department of Transport Management Technology

LOGI – Scientific Journal on Transport and Logistics, 2021, vol. 12, issue 1, 135-146

Abstract: This paper is focused on solving the evaluation and selection of 3PL’s by applying multi-criteria decision-making methods. Nigerian Breweries, Nigerian Bottling Company (NBC), AG Leventis, Kobo logistics, and Flour Mills of Nigeria (FMN) were understudied. The main criteria on which evaluation is based were established: Cost, Service level, Financial Capability, Reputation and Long-term relationship. A combination of two quantitative models was adopted in the study. Relevant data were collected through an oral interview with managers and key decision-makers at the companies. SWARA was first applied to the collated data to determine the relative weights of the criteria. Afterwards, the TOPSIS was applied to the weights developed using SWARA and on the performance of the selected service providers. After the analysis, the best service provider was identified as supplier 2 while the worst was supplier 5.

Keywords: Logistics; outsourcing; evaluation; selection; MCDM; SWARA; TOPSIS (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:logitl:v:12:y:2021:i:1:p:135-146:n:4

DOI: 10.2478/logi-2021-0013

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