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EOR
2008

A hybrid neuro-fuzzy analytical approach to mode choice of global logistics management

9 years 1 months ago
A hybrid neuro-fuzzy analytical approach to mode choice of global logistics management
This paper presents a hybrid neuro-fuzzy methodology to identify appropriate global logistics (GL) operational modes used for global supply chain management. The proposed methodological framework includes three main developmental phases: (1) establishment of a GL strategic hierarchy, (2) formulation of GL-mode identification rules, and (3) development of a GL-mode choice model. By integrating advanced multi-criteria decision-making (MCDM) techniques including fuzzy analytical hierarchy process (Fuzzy-AHP), Fuzzy-MCDM, and the technique for order preference by similarity to an ideal solution (TOPSIS), six types of global logistics and operational modes coupled with corresponding fuzzy-based multicriteria decision-making rules are specified in the second phase. Using the specified fuzzy decision-making rules as the input database, an adaptive neuro-fuzzy inference system (ANFIS) is then developed in the third phase to identify proper GL modes for the implementation of global supply chai...
Jiuh-Biing Sheu
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2008
Where EOR
Authors Jiuh-Biing Sheu
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