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- W2387206164 abstract "Due to lack of study on current lot sizing order model of supply chain, a lot sizing model of Global Supply Chain (GSC) based on non-linear mixed integer programming was put forward. Different from previous research, besides traditional decision variable- order numbers, transfer price and transportation cost allocation factor were taken as decision variables, and the objective function was the maximization of after-tax profit for GSC. Since the primitive model was a NP-hard problem and it was difficult to be solved, it was divided into several simple linear programming models in accordance with the characteristics of the problem. After the division, a data analysis was conducted with optimization toolbox of MATLAB. The calculation results demonstrated that the adjustment on transfer price and transportation cost allocation would significantly influence the optimal order quantity and after-tax profit of GSC." @default.
- W2387206164 created "2016-06-24" @default.
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- W2387206164 date "2005-01-01" @default.
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- W2387206164 title "Lot sizing order model of global supply chain" @default.
- W2387206164 hasPublicationYear "2005" @default.
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