多层环状约束下的航空物流配送优化过程仿真

Simulation of Optimal Aviation Logistics Distribution Process with Multi-layered Circular Constraints

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。

In this paper, we proposed a two-tiered procedure for the optimization of the traditional aviation logistics distribution model, then introduced the two tiers in detail, then subjected the process to simulation, found that the tiered optimization process could effectively reduce the utility of ineffective logistics instruments and the number of constraints in the model, leading to a simpler model and lower operational cost for the aviation logistics companies.