计算机集成制造系统 ›› 2018, Vol. 24 ›› Issue (第12): 3157-3164.DOI: 10.13196/j.cims.2018.12.023

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Internet下双渠道闭环供应链动态模型及其预测控制

郭海峰   

  1. 沈阳理工大学自动化与电气工程学院
  • 出版日期:2018-12-31 发布日期:2018-12-31

Dynamic model and model predictive control of dual-channel closed-loop supply chain on Internet

  • Online:2018-12-31 Published:2018-12-31

摘要: 针对Internet下既包含电子商务网络渠道和传统分销渠道的双源渠道正向物流,又包含退货、再制造的双渠道逆向物流,建立了闭环供应链网络动态模型;给出模型预测控制方法的一般步骤,以及系统牛鞭效应、正向牛鞭效应和再制造牛鞭效应的l2范数量化方法;通过仿真讨论了模型预测控制方法对系统生产、订货和库存波动的平滑作用,对于3种牛鞭效应的抑制效果,进一步讨论了渠道偏好对系统牛鞭效应的影响。所提算法的本质是通过滚动优化和滚动实施不断适时调整订货量、生产量等控制变量,使系统在稳定的前提下得到良好的动态性能,从而抑制牛鞭效应。

关键词: 电子商务, 双渠道闭环供应链网络, 牛鞭效应, 模型预测控制, 动态矩阵

Abstract: Aiming at the problem that Internet contained dual-channel forward logistics with Internet channel and traditional channel and dual-channel inverse logistics with return and remanufacturing,the system network dynamic model was established,and the general steps of model predictive control algorithm were presented.l2 norm measure methods of system bullwhip effect,forward bullwhip effect and remanufacturing bullwhip effect were given.With simulation examples,the smoothing effects of this method on production fluctuation,order fluctuation and inventory fluctuation of the system were discussed,and the control effects of this method on three kinds of bullwhip effect were researched.Further,the influence of channel preference on system bullwhip effect was discussed.The essence of the proposed algorithm was adjusted control variables such as order and production quantity through the rolling optimization and continuous implementations,which made the system have good dynamic performances in the premise of stability,and restrain the bullwhip effects.

Key words: e-commerce, dual-channel closed-loop supply chain networks, bullwhip effect, model predictive control, dynamic matrix

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