基于超網(wǎng)絡(luò)的貨運高鐵的選址與魯棒性研究
發(fā)布時間:2018-11-08 07:10
【摘要】:物流是國民經(jīng)濟發(fā)展的動脈,貨運高鐵是未來一段時間我國物流建設(shè)的重要組成部分。文章以客運高鐵數(shù)據(jù)為研究對象,基于超網(wǎng)絡(luò)方法,建立中國高鐵物流超網(wǎng)絡(luò)模型,分析高鐵超網(wǎng)絡(luò)的靜態(tài)特性及魯棒性,識別出高鐵物流超網(wǎng)絡(luò)中的關(guān)鍵站點及線路。研究發(fā)現(xiàn):超網(wǎng)絡(luò)建模不僅可以評價站點的重要性,而且可以評價線路的重要性;基于超網(wǎng)絡(luò)關(guān)聯(lián)矩陣的動態(tài)最短超路徑算法,可以動態(tài)地量化、識別、預(yù)測高鐵物流網(wǎng)絡(luò)中節(jié)點和線路的魯棒性指標。這些研究成果可對未來貨運高鐵配送中心的選址及可靠性管理發(fā)揮指導作用。
[Abstract]:Logistics is the artery of national economic development, freight high-speed rail is an important part of logistics construction in the future. In this paper, based on the data of passenger high-speed railway, the model of Chinese high-speed rail logistics supernetwork is established, and the static characteristics and robustness of high-speed rail supernetwork are analyzed, and the key stations and routes in high-speed rail logistics supernetwork are identified. It is found that supernetwork modeling can not only evaluate the importance of the site, but also the importance of the line. The dynamic shortest hyperpath algorithm based on hypernetwork association matrix can dynamically quantify identify and predict the robustness index of nodes and lines in high-speed rail logistics network. These research results can play a guiding role in the location and reliability management of freight high-speed rail distribution center in the future.
【作者單位】: 上海理工大學管理學院;江蘇信息職業(yè)技術(shù)學院;
【基金】:國家自然基金項目(71571119)
【分類號】:U238;U294.1
本文編號:2317750
[Abstract]:Logistics is the artery of national economic development, freight high-speed rail is an important part of logistics construction in the future. In this paper, based on the data of passenger high-speed railway, the model of Chinese high-speed rail logistics supernetwork is established, and the static characteristics and robustness of high-speed rail supernetwork are analyzed, and the key stations and routes in high-speed rail logistics supernetwork are identified. It is found that supernetwork modeling can not only evaluate the importance of the site, but also the importance of the line. The dynamic shortest hyperpath algorithm based on hypernetwork association matrix can dynamically quantify identify and predict the robustness index of nodes and lines in high-speed rail logistics network. These research results can play a guiding role in the location and reliability management of freight high-speed rail distribution center in the future.
【作者單位】: 上海理工大學管理學院;江蘇信息職業(yè)技術(shù)學院;
【基金】:國家自然基金項目(71571119)
【分類號】:U238;U294.1
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