第四方物流多到多彈復(fù)性網(wǎng)絡(luò)設(shè)計
發(fā)布時間:2019-03-19 09:16
【摘要】:為了使第四方物流(4PL)能夠提供安全、有效的物流服務(wù),提出多個供需點對之間物流配送任務(wù)下的4PL彈復(fù)性網(wǎng)絡(luò)設(shè)計模型。建立以總物流成本最小化為目標(biāo)的優(yōu)化模型,考慮物流服務(wù)節(jié)點和運輸線路的中斷,通過構(gòu)建備用路徑實現(xiàn)彈復(fù)性,以主路徑和備用路徑共用的服務(wù)節(jié)點和運輸線路的數(shù)量作為彈復(fù)性指標(biāo),設(shè)計人工蜂群算法對模型進(jìn)行求解,并對問題模型中的重要參數(shù)進(jìn)行分析。仿真結(jié)果表明,人工蜂群算法能夠?qū)栴}進(jìn)行有效求解。
[Abstract]:In order to make the fourth party logistics (4PL) provide safe and effective logistics service, the design model of 4PL resilience network under the logistics distribution task between multiple supply and demand pairs is proposed. The optimization model with the goal of minimizing the total logistics cost is established. Considering the interruption of logistics service node and transportation route, the resilience is realized by constructing the backup path. Taking the number of service nodes and transportation lines shared by the main path and the standby path as the elastic index, the artificial bee colony algorithm is designed to solve the model, and the important parameters in the problem model are analyzed. The simulation results show that the artificial bee colony algorithm can solve the problem effectively.
【作者單位】: 遼寧工業(yè)大學(xué)電子與信息工程學(xué)院;
【基金】:國家自然科學(xué)基金(61572244) 遼寧省教育廳科學(xué)研究一般項目(L2015232)
【分類號】:F259.2;TP18
,
本文編號:2443393
[Abstract]:In order to make the fourth party logistics (4PL) provide safe and effective logistics service, the design model of 4PL resilience network under the logistics distribution task between multiple supply and demand pairs is proposed. The optimization model with the goal of minimizing the total logistics cost is established. Considering the interruption of logistics service node and transportation route, the resilience is realized by constructing the backup path. Taking the number of service nodes and transportation lines shared by the main path and the standby path as the elastic index, the artificial bee colony algorithm is designed to solve the model, and the important parameters in the problem model are analyzed. The simulation results show that the artificial bee colony algorithm can solve the problem effectively.
【作者單位】: 遼寧工業(yè)大學(xué)電子與信息工程學(xué)院;
【基金】:國家自然科學(xué)基金(61572244) 遼寧省教育廳科學(xué)研究一般項目(L2015232)
【分類號】:F259.2;TP18
,
本文編號:2443393
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