Abstract
In this study, we consider a logistics problem involving the transportation of products between Hong Kong and China. The logistics here differ from logistics as traditionally defined because of the existence of a cross-border variable, inevitable in any transaction between Hong Kong and China. Logistics management often involves fuzzy or vague data; we therefore develop two fuzzy models for different logistic problems in an uncertain environment. In one problem the demand is fuzzy while the cost components are crisp. In the other problem all the costs and demand are fuzzy. The parameters in both problems are characterized as triangular fuzzy numbers and the optimal solution is achieved via the fuzzy ranking function of the fuzzy numbers with respect to their total integral value. A set of data from a Hong Kong-based manufacturing company is used to test the robustness and effectiveness of the proposed models.
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Leung, S.C.H., Lai, K.K. (2002). A Fuzzy Programming Model for A Cross-Border Logistics Problem Under an Uncertain Environment in Hong Kong. In: Kozan, E., Ohuchi, A. (eds) Operations Research/Management Science at Work. International Series in Operations Research & Management Science, vol 43. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0819-9_17
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DOI: https://doi.org/10.1007/978-1-4615-0819-9_17
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