基于大数据理论的弱化"长鞭效应"研究

"长鞭效应"是供应链运作中出现的一个主要问题,"长鞭效应"的存在给供应链带来了大量的额外库存,这些库存顶替了供应链上的流动资金,给供应链的运营造成了巨大的损失.通过分析"长鞭效应"带来的负面效应,在大数据的基础上,采用其理论方法来削弱供应链上"长鞭效应",应用大数据的手段在供应链上建模,形成一个大数据体系去处理供应链上所有节点企业的链上决策,从而促进供应链协调和绩效最大化.

Study of the Weakening the Bullwhip Effect in Supply Chain Based on Big Data

In twenty-first century, the business competition is the competition of supply chain. In order to improve their own competitiveness, the enterprises need to consider the coordinate operation situation of supply chain from the overall and promote the supply chain performance maximization. But the bullwhip effect is a major problem in supply chain operation. The presence of bullwhip effect has brought a lot of extra inventory for the supply chain. The inventory replaces the stock of liquidity in the supply chain, and causes huge losses for the operations of supply chain. In the moment, the concept of big data causes great concern to the industry, technology and government. Because in the era of big data, data began to shift from simple processing object to a basic resource, which was accepted and exploited to sectors. This paper adopts the theoretical method of big data to weaken the bullwhip effect in supply chain. Its measures are applied by means of big data to modeling in the supply chain, forming a large data system to process decision-making of all nodes coorporate in the supply chain, so as to promote the supply chain coordination and performance maximization.