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Simulation-Based Optimization Research on Outsourcing Procurement Cost

机译:基于仿真的外包采购成本优化研究

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摘要

To solve the cost control problem of outsourcing procurement inherent in the complexness and difficulty for mathematical analysis, this paper established a simulation-based cost Optimization framework. Firstly, we adopted Poisson process to simulate multi-supplier outsourcing market environment, the procurement cost expectations objective function and constraints of the model was introduced. Secondly, taking decision strategy as feedback variables, procurement cost optimization model was proposed. Thirdly, several key technologies for algorithm implement were described. Finally, based on the history demand of an aircraft model factory, numerical simulation is carried out to show that this optimization model can effectively reduce the outsourcing procurement total cost and outsourcing parts inventory fluctuation.
机译:为解决外包采购成本控制固有的复杂性和数学分析难度,本文建立了一种基于仿真的成本优化框架。首先,我们采用泊松过程来模拟多供应商外包的市场环境,介绍了采购成本期望的目标函数和模型的约束条件。其次,以决策策略为反馈变量,提出了采购成本优化模型。第三,介绍了几种算法实现的关键技术。最后,根据飞机模型厂的历史需求,进行了数值模拟,结果表明,该优化模型可以有效降低外包采购总成本和外包零件库存波动。

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