摘要
针对TPL仓库面向汽车零部件企业的产前物料拣选和配送作业环节,研究了JIT生产模式下配送送达时间限定和生产线缓冲库容量有限条件下的出库作业拣选订单排序的优化模型及算法。在分析现有拣选订单排序模式的基础上,提出了融合现有模式优点的新作业模式,建立了该模式下拣选订单排序优化模型,并针对这一整数组合优化模型,设计了一套基于贪心理论的算法对其进行求解。通过实际案例分析表明,该模型及算法可以达到减少拣选作业空余时间、提高作业效率、降低作业成本的目的。
The material picking and delivery process of auto parts enterprises Third Party Logistics(TPL)services are studied.The order scheduling optimizing model and algorithm relevant with JIT mode and limit of delivery time and buffer storage capacity of these TPLs are studied.Based on the analysis result of existing order scheduling models,a new order scheduling integrating model is proposed.This order scheduling model is based on the original work process of TPL,and inherits its advantage.A greedy theory algorithm is designed to solve the proposed model.After calculating apractical case,the result shows that this new model obviously improves the operational efficiency and reduces operating costs of pick-up operation in TPL warehouse.
出处
《工业工程与管理》
CSSCI
北大核心
2016年第4期106-113,共8页
Industrial Engineering and Management
基金
国家自然科学基金资助项目(71271041)
关键词
订单排序
出库拣选作业
优化模型
贪心理论
汽车零部件
order sequencing
pick-up operation
optimization model
greedy theory algorithm
auto parts
