多层环状约束下的航空物流配送优化过程仿真
发布时间：2019-04-24 12:52
【摘要】：常用的航空物流配送模型目标函数很少考虑不同货品需求的差异化,约束函数过于复杂,有时难以运算。为此在原有航空物流配送模型的基础上提出了对模型的分层优化方法。主要包含两层优化:一是利用物流运输工具使用最小化模型得到每一天覆盖所有配送路线的最小物流运输串;二是利用航空物流获利机会最大化模型得到覆盖所有物流运输串的一周物流路线,并进行仿真。仿真结果表明,分层优化方法有效降低了无效物流工具的使用数和模型中的约束个数,模型的规模得以减小,营销成本降低。
[Abstract]:The objective function of the commonly used air logistics distribution model rarely considers the differentiation of different goods requirements, and the constraint function is too complex and sometimes difficult to calculate. Based on the original air logistics distribution model, this paper proposes a hierarchical optimization method for the model. It mainly includes two levels of optimization: one is to use the minimization model of logistics transportation tools to get the minimum logistics transport string covering all distribution routes every day; Secondly, a one-week logistics route covering all logistics transport strings is obtained by using the profit maximization model of aviation logistics, and the simulation is carried out. The simulation results show that the hierarchical optimization method can effectively reduce the number of invalid logistics tools and the number of constraints in the model, the scale of the model can be reduced, and the marketing cost can be reduced.
【作者单位】： 中州大学;郑州轻工业学院;河南天冠燃料乙醇有限公司;
【分类号】：F252;F561
[Abstract]:The objective function of the commonly used air logistics distribution model rarely considers the differentiation of different goods requirements, and the constraint function is too complex and sometimes difficult to calculate. Based on the original air logistics distribution model, this paper proposes a hierarchical optimization method for the model. It mainly includes two levels of optimization: one is to use the minimization model of logistics transportation tools to get the minimum logistics transport string covering all distribution routes every day; Secondly, a one-week logistics route covering all logistics transport strings is obtained by using the profit maximization model of aviation logistics, and the simulation is carried out. The simulation results show that the hierarchical optimization method can effectively reduce the number of invalid logistics tools and the number of constraints in the model, the scale of the model can be reduced, and the marketing cost can be reduced.
【作者单位】： 中州大学;郑州轻工业学院;河南天冠燃料乙醇有限公司;
【分类号】：F252;F561
【共引文献】
相关期刊论文 前10条
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