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Based on the theory of supply chain management and activity-based costing method, we study the cost structure of manufacturer, which is in the mode of supply chain operation. And then we develop two models: manufacturer's cost model and profit optimize model. Every client's cost can be computed using the cost model respectively. The customer order quantities are defined as decision-variable, and the manufacturer's profit as the objective function in the profit optimization model. At last we apply genetic algorithm method to simulate a case of manufacture enterprise with the real data, the results show that the method is effective and the manufacturer enterprises can increase its profit by adjusting the client's order quantities.
Machine Learning and Cybernetics, 2007 International Conference on (Volume:4 )
Date of Conference: 19-22 Aug. 2007