競(jìng)爭(zhēng)條件下快運(yùn)貨物班列定價(jià)研究
發(fā)布時(shí)間:2018-03-24 22:45
本文選題:快運(yùn)貨物班列 切入點(diǎn):定價(jià) 出處:《鐵道科學(xué)與工程學(xué)報(bào)》2016年03期
【摘要】:在分析我國鐵路快運(yùn)班列產(chǎn)品特性及其與公路等同類產(chǎn)品差異性基礎(chǔ)上,基于貨主選擇行為建立不同運(yùn)輸方式間貨流分配的下層模型,再構(gòu)建以鐵路快運(yùn)班列產(chǎn)品效益最大化為目標(biāo)的上層模型,并用粒子群算法求解整個(gè)雙層規(guī)劃模型。實(shí)例表明:快運(yùn)班列以該雙層規(guī)劃模型的最終解為定價(jià)時(shí),該貨運(yùn)產(chǎn)品在各運(yùn)輸方式間具有較強(qiáng)的市場(chǎng)競(jìng)爭(zhēng)力。
[Abstract]:Based on the analysis of the characteristics of railway express train products in China and their differences with similar products such as highways, a lower layer model of cargo flow distribution among different modes of transport is established based on the behavior of cargo owner selection. Then the upper layer model with the goal of maximizing the benefit of railway express train train is constructed, and the whole bilevel programming model is solved by particle swarm optimization algorithm. The example shows that the final solution of this bilevel programming model is used as the pricing method. The freight products in each mode of transport has a strong market competitiveness.
【作者單位】: 西南交通大學(xué)交通運(yùn)輸與物流學(xué)院;
【分類號(hào)】:F532.5
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1 林結(jié)良,潘樹平;快運(yùn)貨車的研制及展望[J];鐵道車輛;2002年02期
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