Study on the Optimization of Hub-and-Spoke Logistics Network regarding Traffic Congestion

The design of the hub-and-spoke network has wide applications in the freight transportation system. This design involves the location of a group of hubs as well as the allocation between nonhub nodes and the hubs after the location. On the basis of the traditional single distribution hub-and-spoke n...

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Autores principales:	Wei Xu, JinCan Huang, YanZhao Qiu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Transportation engineering TA1001-1280 Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/9e1b1f9a2b2149c0902e9ac02ecb1a96
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spelling	oai:doaj.org-article:9e1b1f9a2b2149c0902e9ac02ecb1a962021-11-15T01:19:53ZStudy on the Optimization of Hub-and-Spoke Logistics Network regarding Traffic Congestion2042-319510.1155/2021/8711964https://doaj.org/article/9e1b1f9a2b2149c0902e9ac02ecb1a962021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8711964https://doaj.org/toc/2042-3195The design of the hub-and-spoke network has wide applications in the freight transportation system. This design involves the location of a group of hubs as well as the allocation between nonhub nodes and the hubs after the location. On the basis of the traditional single distribution hub-and-spoke network, the congestion flow waiting model (CFWM) and the congestion flow redistribution model (CFRM) are proposed in this paper after considering traffic waiting and traffic diversion, respectively, in the case of hub congestion. The presented models focus on the design of single distribution hub-and-spoke logistics network under traffic congestion. The objective function minimizes the total cost of the road network on the premise of ensuring the normal operation of the logistics network, which effectively balances the contradiction between the economic benefits of traffic scale and the congestion cost. Given the complexity of the problem, the congestion cost function is linearized, and the mutational particle swarm optimization (MPSO) is employed for the solution. Additionally, certain calculation experiments and sensitivity analysis of the congestion optimization model are conducted to verify the effectiveness and applicability of the constructed hub-and-spoke network and the congestion solutions. The results indicate that the optimized logistics network may effectively alleviate congestion, balance the network freight flow, and improve the stability of the hub-and-spoke network.Wei XuJinCan HuangYanZhao QiuHindawi-WileyarticleTransportation engineeringTA1001-1280Transportation and communicationsHE1-9990ENJournal of Advanced Transportation, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Transportation engineering TA1001-1280 Transportation and communications HE1-9990
spellingShingle	Transportation engineering TA1001-1280 Transportation and communications HE1-9990 Wei Xu JinCan Huang YanZhao Qiu Study on the Optimization of Hub-and-Spoke Logistics Network regarding Traffic Congestion
description	The design of the hub-and-spoke network has wide applications in the freight transportation system. This design involves the location of a group of hubs as well as the allocation between nonhub nodes and the hubs after the location. On the basis of the traditional single distribution hub-and-spoke network, the congestion flow waiting model (CFWM) and the congestion flow redistribution model (CFRM) are proposed in this paper after considering traffic waiting and traffic diversion, respectively, in the case of hub congestion. The presented models focus on the design of single distribution hub-and-spoke logistics network under traffic congestion. The objective function minimizes the total cost of the road network on the premise of ensuring the normal operation of the logistics network, which effectively balances the contradiction between the economic benefits of traffic scale and the congestion cost. Given the complexity of the problem, the congestion cost function is linearized, and the mutational particle swarm optimization (MPSO) is employed for the solution. Additionally, certain calculation experiments and sensitivity analysis of the congestion optimization model are conducted to verify the effectiveness and applicability of the constructed hub-and-spoke network and the congestion solutions. The results indicate that the optimized logistics network may effectively alleviate congestion, balance the network freight flow, and improve the stability of the hub-and-spoke network.
format	article
author	Wei Xu JinCan Huang YanZhao Qiu
author_facet	Wei Xu JinCan Huang YanZhao Qiu
author_sort	Wei Xu
title	Study on the Optimization of Hub-and-Spoke Logistics Network regarding Traffic Congestion
title_short	Study on the Optimization of Hub-and-Spoke Logistics Network regarding Traffic Congestion
title_full	Study on the Optimization of Hub-and-Spoke Logistics Network regarding Traffic Congestion
title_fullStr	Study on the Optimization of Hub-and-Spoke Logistics Network regarding Traffic Congestion
title_full_unstemmed	Study on the Optimization of Hub-and-Spoke Logistics Network regarding Traffic Congestion
title_sort	study on the optimization of hub-and-spoke logistics network regarding traffic congestion
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/9e1b1f9a2b2149c0902e9ac02ecb1a96
work_keys_str_mv	AT weixu studyontheoptimizationofhubandspokelogisticsnetworkregardingtrafficcongestion AT jincanhuang studyontheoptimizationofhubandspokelogisticsnetworkregardingtrafficcongestion AT yanzhaoqiu studyontheoptimizationofhubandspokelogisticsnetworkregardingtrafficcongestion
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Study on the Optimization of Hub-and-Spoke Logistics Network regarding Traffic Congestion

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