摘要
面对经济全球化、顾客需求的多样化和众多不确定性因素,传统的供应链必须向适应性供应链转变。适应性供应链已经开始引起企业和学术界的关注。本文探讨了适应性供应链的概念,指出学习是提高供应链适应能力的一个重要途径,并提出了适应性供应链的一个初步模型框架。然后建立了供应链的复杂网络演化模型,导出了其基本统计规律,最后给出了仿真结果。研究对于探讨供应链的复杂动态演化规律具有一定意义。
With the economic globalization,diversity of customer requirement and many uncertain factors,a traditional supply chain must be transformed to an adaptive supply network.Adaptive supply network has gained more and more attentions from both enterprises and academic areas.A primary study of adaptive supply network is given.Learning is emphasized as an important way to implement the transformation from traditional supply chain to adaptive one.A framework for adaptive supply chains is proposed based on complex system theory.Finally,a complex network model for adaptive supply chains is established.Several important statistical characters are given.Simulation results show this model is useful to understand the complex evolution behaviors of complex supply chains.
出处
《中国管理科学》
CSSCI
北大核心
2009年第2期76-79,共4页
Chinese Journal of Management Science
基金
国家自然科学基金资助项目(70671057
70771052)
关键词
适应性供应链
适应
学习
演化
复杂网络
adaptive supply chain
adaptation
learning
evolution
complex network
