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基于蚁群优化的作业成本动因选择方法研究
A Study on Selection of Cost Driver in ABC Based on Ant Colony Optimization Algorithm
【摘要】 蚁群优化算法已成功地应用于复杂优化问题的求解,但其在生产成本管理领域的应用还是一个新的研究课题。本文针对作业成本管理(ABCM)中的成本动因的选择问题,建立了基于蚁群优化算法的成本动因的模型,并提出了一种基于蚁群优化算法的成本动因选择的方法体系。最后设计了一个成本动因选择系统,有效解决了作业成本动因难于选择的问题,充分发挥了利用作业成本管理达到降低成本、合理使用资源与提升利润的作用。
【Abstract】 Though the Ant Colony Optimization Algorithm is successfully applied to solve complex optimization problems,it remains a new research subject in the area of production cost.In this paper,a model of cost driver based on Ant Colony Optimization Algorithm is established and a method-system of cost driver selection is proposed to solve the selection problem of cost driver in ABCM.Finally,the paper puts forward a cost driver selection system which effectively solves the problems in selecting the cost driver,makes full use of cost driver management to decrease the cost,reasonably uses the resources and promotes the profit.
【Key words】 Ant colony optimization algorithm; Cost driver in ABC; Cost driver selection system;
- 【文献出处】 计算机仿真 ,Computer Simulation , 编辑部邮箱 ,2009年11期
- 【分类号】TP301.6
- 【被引频次】4
- 【下载频次】161