The research on optimization of auto supply chain network robust model under macroeconomic fluctuations
Guo, Chunxiang; Liu, Xiaoli; Jin, Maozhu; Lv, Zhihan
刊名CHAOS SOLITONS & FRACTALS
2016
英文摘要Considering the uncertainty of the macroeconomic environment, the robust optimization method is studied for constructing and designing the automotive supply chain network, and based on the definition of robust solution a robust optimization model is built for integrated supply chain network design that consists of supplier selection problem and facility location distribution problem. The tabu search algorithm is proposed for supply chain node configuration, analyzing the influence of the level of uncertainty on robust results, and by comparing the performance of supply chain network design through the stochastic programming model and robustness optimize model, on this basis, determining the rational layout of supply chain network under macroeconomic fluctuations. At last the contrastive test result validates that the performance of tabu search algorithm is outstanding on convergence and computational time. Meanwhile it is indicated that the robust optimization model can reduce investment risks effectively when it is applied to supply chain network design.
收录类别SCI
原文出处http://www.sciencedirect.com/science/article/pii/S0960077915003185
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/10192]  
专题深圳先进技术研究院_数字所
作者单位CHAOS SOLITONS & FRACTALS
推荐引用方式
GB/T 7714
Guo, Chunxiang,Liu, Xiaoli,Jin, Maozhu,et al. The research on optimization of auto supply chain network robust model under macroeconomic fluctuations[J]. CHAOS SOLITONS & FRACTALS,2016.
APA Guo, Chunxiang,Liu, Xiaoli,Jin, Maozhu,&Lv, Zhihan.(2016).The research on optimization of auto supply chain network robust model under macroeconomic fluctuations.CHAOS SOLITONS & FRACTALS.
MLA Guo, Chunxiang,et al."The research on optimization of auto supply chain network robust model under macroeconomic fluctuations".CHAOS SOLITONS & FRACTALS (2016).
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