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A hybrid fuzzy-based approach for identifying global logistics strategies

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  • Sheu, Jiuh-Biing

Abstract

This paper presents a hybrid fuzzy-based method that integrates fuzzy-AHP and fuzzy-MADM approaches for identifying global logistics (GL) strategies when corresponding supply and demand environments are complicated and uncertain. Before applying the methodology, six typical types of GL strategic modes were specified with their distinctive channels of physical distribution and information flows. Survey data collected from integrated circuit (IC) manufacturers in Taiwan was used to demonstrate the applicability of the proposed method. The empirical results indicate that the proposed method can be used to identify GL strategies when the factors that influence GL are complex and uncertain.

Suggested Citation

  • Sheu, Jiuh-Biing, 2004. "A hybrid fuzzy-based approach for identifying global logistics strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(1), pages 39-61, January.
    • Handle: RePEc:eee:transe:v:40:y:2004:i:1:p:39-61
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    Citations

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    Cited by:

    1. Kuo-Liang Lee & Wen-Chih Huang & Junn-Yuan Teng, 2009. "Locating the competitive relation of global logistics hub using quantitative SWOT analytical method," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(1), pages 87-107, January.
    2. ȚARȚAVULEA (DIEACONESCU) Ramona Iulia, 2015. "Model for Determining the Optimum Location for Performance Improvement in Supply-Chain Strategies," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
    3. Martin Pech, 2010. "Application of fuzzy multicriteria decision making on the factors of corporate culture," Acta Universitatis Bohemiae Meridionales, University of South Bohemia in Ceske Budejovice, vol. 13(2), pages 93-104.
    4. Engin ÇAKIR, 2017. "Application of Fuzzy Multi-Criteria Decision Making Methods on Six Sigma Projects Selection," Journal of Social and Administrative Sciences, KSP Journals, vol. 4(1), pages 132-138, March.
    5. Feng, Cheng-Min & Wu, Pei-Ju, 2009. "A tax savings model for the emerging global manufacturing network," International Journal of Production Economics, Elsevier, vol. 122(2), pages 534-546, December.
    6. Heo, Eunnyeong & Kim, Jinsoo & Boo, Kyung-Jin, 2010. "Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2214-2220, October.
    7. Juhan Kim & Jinsoo Kim, 2018. "Optimal Portfolio for LNG Importation in Korea Using a Two-Step Portfolio Model and a Fuzzy Analytic Hierarchy Process," Energies, MDPI, vol. 11(11), pages 1-18, November.
    8. Cho, Sangmin & Kim, Jinsoo & Heo, Eunnyeong, 2015. "Application of fuzzy analytic hierarchy process to select the optimal heating facility for Korean horticulture and stockbreeding sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1075-1083.
    9. Sheu, Jiuh Biing & Kundu, Tanmoy, 2018. "Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 5-22.
    10. Zhiqiang Zhu & Xuechi Zhang & Mengqing Xue & Yaoyao Song, 2023. "Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    11. Justice Odei Som & Hod Anyigba, 2022. "Examining the Effects of Information Systems Usage and Managerial Commitment on Supply Chain Performance: The Mediating Role of Supply Chain Integration," SAGE Open, , vol. 12(2), pages 21582440221, April.
    12. Wanke, Peter & Barros, C.P. & Nwaogbe, Obioma R., 2016. "Assessing productive efficiency in Nigerian airports using Fuzzy-DEA," Transport Policy, Elsevier, vol. 49(C), pages 9-19.

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