【摘要】 从四方面评述物流网络设计决策支持模型:(1)建模复杂性,包括运输时期、产品类型、模型目标以及确定性考虑,如单一产品或多产品运输,单目标模型或多目标模型;(2)建模方法与算法;(3)求解方法与技术;(4)持续性与鲁棒性.分析发现复杂性考虑需要更加注重物流网络活动排放和不确定性,环境和经济考虑使持续性成为物流网络设计主要困难之一,难以处理更加复杂物流网络的鲁棒性问题.CPLEX和LINGO通常能有效求解整数和/或双层规划模型,但对于大规模物流网络而言,改进的智能算法在实际求解中更为可行.最后提出目前和未来以实践为研究方向的有关问题.更多还原

【Abstract】 The decision-making support models for logistics network design are reviewed from four dimensions:( 1) the complexity of modeling,including transportation period,product types and objective of modeling along with deterministic considerations,such as single or multiple product transport and single or multiple objective model;( 2) modeling approaches and algorithms;( 3) solution methods and technologies;( 4) sustainability and robustness. It is identified that different considerations of complexity need a broader emphasis on emission and uncertainty during logistics network activities,that the sustainability is one of the major difficulties due to environmental and economic consideration,and that the robustness of more complex logistics networks is difficult to be tackled. CPLEX and LINGO are effective solvers for integer and / or bi-level programming models,but improved intelligent algorithms may be more feasible in practice for large-sized networks. Finally,the present and future practice-oriented research issues are recommended.更多还原