Research on the Network Optimization for Reuse Reverse Logistics Under Grey Environment
Considering the uncertainties of the products’ demands and the damaged conditions of return products, a grey model for network optimization of the reuse reverse logistics is presented by expressing the uncertain parameters with grey numbers. The grey model is converted into the specified equivalent model with the grey whitenization method, and the deterministic model is solved by Hybrid Intelligent Algorithms combined with Genetic Algorithms and traditional optimization algorithms. Finally, the validity of the network optimization method is demonstrated by a numerical example.
BAI Ming-Guo
School of Management, Anhui University of Technology, Ma’anshan 243002, P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）