需求指数分布EOQ模型的鲁棒仿真

Yang Yaqing, Ma Yizhong, Zhong Jianlan, Zhu Lianyan
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引用次数: 1

摘要

随着经济和科技的飞速发展,市场需求呈波动变化。在经济订货量优化中,许多研究使用统计方法来描述需求率。指数分布已被广泛认为是描述需求率的有效模型,特别是对新产品和老化产品的需求率。然而,在大多数EOQ仿真优化中,需求率的分布被设置为正态分布。在需求率服从指数分布的假设下,结合Kriging模型和Taguchi的鲁棒性观点,对EOQ模型进行鲁棒模拟,并估计出pareto边界。结果表明,鲁棒性优化对订单数量的要求与传统EOQ不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Robust Simulation for EOQ Model with Exponential Distributed Demand
With the rapid development of economic and technology, the demand of market changes in a fluctuating way. Many researches use statistical methods to describe the demand rate while in economic order quantity (EOQ) optimization. Exponential distribution has been widely recognized as an effective model for describing the demand rate especially for new items and deteriorating items. However, in most simulation optimization for EOQ, the distribution of the demand rate is set as normal distributed. Based on the assumption that the demand rate follows exponential distribution, we conduct robust simulation for EOQ model by incorporating Kriging model and Taguchi's robust view and then estimate the pareto frontier. The result suggests the robust optimization requires different order quantity from that of classic EOQ.
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