標題: A hybrid neuro-fuzzy analytical approach to mode choice of global logistics management
作者: Sheu, Jiuh-Biing
運輸與物流管理系 註:原交通所+運管所
Department of Transportation and Logistics Management
關鍵字: global logistics;global supply chain management;multi-criteria decision making;Fuzzy inference;neural networks
公開日期: 16-Sep-2008
摘要: 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 multi-criteria 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 chain management. A numerical study with a questionnaire survey database aimed at the information technology (IT) industries of Taiwan is conducted to illustrate the applicability of the proposed method. (C) 2007 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.ejor.2006.06.082
http://hdl.handle.net/11536/28876
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2006.06.082
期刊: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume: 189
Issue: 3
起始頁: 971
結束頁: 986
Appears in Collections:Conferences Paper


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