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An extended fuzzy TOPSIS–GRA method based on different separation measures for green logistics service provider selection
Celik, E.; Erdogan, M. & Gumus, A. T.
Abstract
In this paper, first, the criteria that make
logistics service providers more ‘‘green’’ are determined
as: cooperation with customer’s company and its customer,
green government regulations, environmental management
system, green process design, reduction in energy consumption
and green network design. The criteria weights
are determined by fuzzy AHP, based on expert opinions.
Then, a new method is proposed, which is the combination
of fuzzy TOPSIS and GRA, and used to evaluate green
3PLs based on different separation measures, as an extension,
using trapezoidal fuzzy numbers. Five Turkish 3PLs
serve in Istanbul are selected in order to apply a case study
to show the applicability of the proposed method. Finally,
the proposed method is verified with respect to different
resolving coefficient values and separation measures and
also compared with fuzzy TOPSIS and fuzzy VIKOR
method results. Different multi-criteria decision-making
methods can be applied and compared to check validity of
our results for future studies. The proposed method can
also be implemented to 3PLs in other countries.
Keywords
Fuzzy GRA; Fuzzy TOPSIS; Green logistics; Logistics service provider selection; Trapezoidal fuzzy numbers
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