Complexity Measure of Supply Chain Networks

摘要：

In this paper, we use the information entropy method measure and analyze the complexity of supply chain networks. We observe the supply chain networks complexity under the influence of three factors: demand variance pattern, demand information sharing, and lead time. This study shows that, in general speaking sharing demand information, little lead time, and little demand variance can decrease its entropy. Counter-intuitively, under not sharing demand information condition, the customer demand variance decrease may increase the complexity between the supplier order and retailer order. Under sharing customer demand information condition, decrease the lead time may have increase the complexity also between the supplier order and retailer order.

关键词： Supply chain networks Complexity Entropy

作者: Song Zhu Yong Xu

作者单位: College of Sciences, China University of Mining and Technology, Xuzhou 221116, China School of Mathematical Sciences and Computing Technology, Central South University, Changsha 410075,

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 2232-2236

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）