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Formulation of Models for Analyzing Eco-environmental Impact on Global Supply Chain Network
Thi, Phuong-Nha Le
|關鍵字:||Global supply chain;全球供應鏈;Supply chain management;Environmental management;CO2 emission;Supply chain configuration;Multi-criteria optimization model;供應鏈管理;環境管理;二氧化碳排放量;供應鏈模型;多準則最佳化模型||出版社:||電子商務研究所||引用:||Books 1. Chopra, S. and Meindl, P. (2007), Supply chain management: Strategy, planning and operation, Pearson Prentice Hall, New Jersey. 2. Leenders, M. L., Fearon, H. E. (1997), Purchasing and Supply Management, 11th ed., New York: McGraw-Hill. 3. Mentzer, J.T. (2004), Supply Chain Management, Thousand Oaks, CA: Sage. 4. Nikbakhsh, E. (2009), Green Supply Chain Management, Supply Chain and Logistics in National, International and Governmental Environment, Physica-Verlag HD 5. Oliver, R. K., and Webber, M. D. (1992), Supply-Chain Management: Logistics Catches Up with Strategy, Chapman and Hall, London, 1992. 6. Taha, H. A. (2007), Operation Research: An Introduction, 8th ed., Pearson Prentice Hall. Journal 1. Albino, V., Izzo, C. and Kuhtz, S. 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This study formulates a model for analyzing eco-environmental impact on global supply chain network. The multi-criteria optimization model is applied to seek optimal solutions that can not only achieve predetermined objectives but also satisfy constraints for both single and multi-product problems. The overall optimization is achieved using mathematical programming for modeling the supply chain functions such as location, inventory, production, distribution functions and transportation mode selections. Then, the supply chain model is formulated as a cost and environmental impact minimization problem. Herein, the solution is the flow of goods in global supply chain environment in different periods over one year. Furthermore, the numerical values obtained from a real company are applied to these mathematical formulations to test its usability. The testing is conducted in eight different cases that include three combination, e.g. single product and multi-product model, no constraint on time and constraint on time, without connection of distributor and linked distributors. The results from these experiments can help in determining the best transportation routes, inventory levels, shipment quantity, and transportation modes. Specifically, the result proposes a new configuration for designing global supply chain of the case company that could minimize economical and environmental impacts problems simultaneously.
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