基于循环取货的多产品供应链提前期波动压缩模型  

A Model of Lead-time Variance Crashing for Multi-item Supply Chains with Milk-Run

作　　者：周欣[1] 霍佳震[2] 

机构地区：[1]上海海关学院海关管理系,上海201204 [2]同济大学经济与管理学院,上海200092

出　　处：《系统管理学报》2015年第2期289-295,共7页Journal of Systems & Management

基　　金：国家自然科学基金资助项目(70832005);上海市教委科研创新项目(12YZ192);上海高校青年教师培养资助计划(shhg004)

摘　　要：对采用循环取货方式配送的由单个采购商和多个供应商组成的多产品供应链进行研究。由于循环取货过程途径多个供应商,导致取货运输过程的不确定性和各供应商生产过程的不确定性发生累积,使得配送过程的总提前期波动增加,并引起供应链总成本上升。为此,将各供应商的生产提前期和运输提前期作为随机变量、以供应链利益最大化为目标建立模型,通过赶工对总提前期进行压缩,讨论如何合理压缩循环取货过程中的总提前期波动来降低供应链总成本,并给出了相关启发式算法。最后,通过数值分析验证了模型和算法的有效性。We study a multi-item supply chain composed of a manufacturer and multiple suppliers and with milk-run consolidation.The milk-run process from one supplier to another causes the accumulation of variances of transportation and production,and increase the total lead-time variance thus leads to the increased total cost.In fact,production lead times of suppliers and transportation lead times can be reduced at certain crashing cost.Aiming at minimizing supply chain total costs,we develap an optimal multi-item supply chain integrated inventory model to study how to properly crash the lead time variance for milk-run.We present a heuristic algorithm to solve the proposed model and show the effectiveness of the model and the algorithm using numerical examples.

关 键 词：循环取货 供应链 随机提前期 方差压缩 

分 类 号：F253.4[经济管理—国民经济]