首页> 外文会议>Chinese Control and Decision Conference >Complexity Measure of Supply Chain Networks
【24h】

Complexity Measure of Supply Chain Networks

机译:供应链网络的复杂性测度

获取原文

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.
机译:在本文中,我们使用信息熵的方法来衡量和分析供应链网络的复杂性。我们在三个因素的影响下观察了供应链网络的复杂性:需求方差​​模式,需求信息共享和提前期。这项研究表明,从总体上讲,共享需求信息,提前期短和需求方差少可以减少其熵。与直觉相反,在不共享需求信息的情况下,客户需求方差的减少可能会增加供应商订单和零售商订单之间的复杂性。在共享客户需求信息的情况下,减少交货时间也可能会增加供应商订单和零售商订单之间的复杂性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号