【摘 要】
：
在假设供应商和零售商工作和中断的持续时间分别服从独立的指数分布条件下,首先,利用4个状态连续时间Markov链,得到完成订单的平均等待时间,其次,基于更新报酬定理,构建零售
【机 构】
：
山东大学现代物流研究中心,山东大学数学与系统科学学院
论文部分内容阅读
在假设供应商和零售商工作和中断的持续时间分别服从独立的指数分布条件下,首先,利用4个状态连续时间Markov链,得到完成订单的平均等待时间,其次,基于更新报酬定理,构建零售商库存的长程平均费用模型,并设计自适应交叉熵法(ACE),求解它的近似最优解.最后,通过仿真试验,验证了算法的有效性,并得到如下结论:当零售商中断率较大恢复率较小或单位产品需求未满足损失费较大时,采用经典的经济订货批量(EOQ)模型,会显著增加系统的费用.
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