摘要
借鉴稳健设计的基本思想,运用随机机会约束规划方法,建立了需求和制造中心加工量不确定条件下的企业分销物流中心的稳健性选址模型,该模型通过将不确定条件下选址分派费用的波动均方差融入目标函数以实现选址稳健性目标。分析了该类模型的处理方法,探讨了基于组合遗传算法的模型求解思路,并通过算例进行了验证。分析结果表明:与普通模型相比,该模型在整个规划期内选址分派费用的波动均方差降低31.5%,物流网络稳健性显著提高,该模型合理有效。
Based on the idea of robust design and stochastic chance constrained programming mehtod, a robust location model of enterprise distribution logistics centers was constructed under the uncertain conditions of customer＇s demand and manufacture center＇s processing amount, and the standard error of location allocating cost was integrated into object function to achieve robust location. The solving method of the model was discussed, and the programming thinking based on combination genetic algorithm was expounded. The model and its algorithm were validated by an example. Analysis result indicates that compared with normal model, the standard error of robust location model allocating cost reduces by 31. 5%, and logistics network robustness enhances evidently, so the model is rational and valid. 2 tabs, 3 figs, 8 refs.
出处
《交通运输工程学报》
EI
CSCD
北大核心
2010年第1期60-65,共6页
Journal of Traffic and Transportation Engineering
基金
湖南省教育厅科研基金项目(05C250)
关键词
企业物流中心
选址模型
机会约束规划
组合遗传算法
enterprise logistics center
location model
chance constrained programming
combination genetic algorithm
