【摘要】：常用的航空物流配送模型目標(biāo)函數(shù)很少考慮不同貨品需求的差異化,約束函數(shù)過于復(fù)雜,有時(shí)難以運(yùn)算。為此在原有航空物流配送模型的基礎(chǔ)上提出了對(duì)模型的分層優(yōu)化方法。主要包含兩層優(yōu)化:一是利用物流運(yùn)輸工具使用最小化模型得到每一天覆蓋所有配送路線的最小物流運(yùn)輸串;二是利用航空物流獲利機(jī)會(huì)最大化模型得到覆蓋所有物流運(yùn)輸串的一周物流路線,并進(jìn)行仿真。仿真結(jié)果表明,分層優(yōu)化方法有效降低了無效物流工具的使用數(shù)和模型中的約束個(gè)數(shù),模型的規(guī)模得以減小,營銷成本降低。
[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.
【作者單位】： 中州大學(xué);鄭州輕工業(yè)學(xué)院;河南天冠燃料乙醇有限公司;
【分類號(hào)】：F252;F561

【共引文獻(xiàn)】

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