摘要
可以把订单服从泊松输入、单个拣选人员提供服务的人工拣选作业系统看作M/G/1随机服务系统,研究此随机服务系统的效率优化问题.分析订单到达的物品种类与件数随机特性,建立分类存储返回型与S型拣选距离随机模型,分别推导相应的拣选时间分布.仿真结果表明,两个模型的结果能在误差允许条件下较好地与仿真逼近.比较5种物品订购频率和货位分配情况下的返回型和S型拣选方式,得出两种拣选方式各自适用的情况.研究结论可以为传统矩形配送中心的订单拣选时间、等待时间估计提供参考,可为拣选路径方式选择提供依据.
The manual order picking system with order arrival as Poisson flow, and single picking servicer can be considered as M/G/1 random service system. This paper studies the efficiency optimization problem of manual order picking system. We also analyze the stochastic characteristics of arrived orders goods categories and items number. The paper establishes picker route stochastic models under sorted storage return-type and S-type picking for logistics distribution center to deduce corresponding picking time distribution functions. Ex- periment results show that the two models approximate all approach simulation better under permitted error conditions. Compare the two picking manners with five kinds of goods order frequency and storage assignment, and then get application situations. This paper provides reference for estimation picking time and waiting time of traditional rectangular logistic distribution center, and provides basis for choosing storage strategy.
出处
《管理科学学报》
CSSCI
北大核心
2012年第2期59-71,共13页
Journal of Management Sciences in China
基金
国家自然科学基金资助项目(70971011)
北京市教委资助项目(SM201110037004)
北京市属高等学校人才强教深化计划资助项目(PHR201007145
PHR201108311)
作者简介
朱杰（1960-），男，北京人，硕士，教授．Email：zhujie@bwu．edu．cn
