Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm

Multimodal transport is a process of effectively moving cargoes in a single container by combining land transport (road or rail) and maritime or river transport (vessel or barge) in one transport chain. However, cold chain logistics (CCL), as a special while major kind of cargo delivery, has not bee...

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Main Authors: Changjiang Zheng, Kai Sun, Yuhang Gu, Jinxing Shen, Muqing Du
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2022/5458760
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author Changjiang Zheng
Kai Sun
Yuhang Gu
Jinxing Shen
Muqing Du
author_facet Changjiang Zheng
Kai Sun
Yuhang Gu
Jinxing Shen
Muqing Du
author_sort Changjiang Zheng
collection DOAJ
description Multimodal transport is a process of effectively moving cargoes in a single container by combining land transport (road or rail) and maritime or river transport (vessel or barge) in one transport chain. However, cold chain logistics (CCL), as a special while major kind of cargo delivery, has not been incorporated with this beneficial combination. In order to realize efficient delivery of cold chain foods (CCF), in this study, the characteristics of multimodal and CCL are analyzed and integrated to select the optimal logistics path. In establishing the path-selection model, customer satisfaction is introduced, which is reflected by arrival punctuality and the quality of CCF. An improved particle swarm optimization algorithm (IPSO) is introduced to address the model and is proven to retain a fast convergence rate and achieve outstanding solving accuracy through the experimental study. Sensitivity analysis is also conducted to present the impact of railway speed and cost variation on path selection. Results show that compared with highway transport, railway transport is preferable to the medium and long distance. The influence of railway speed improvement is more striking than cost reduction in motivating decision makers to choose railway transport mode in logistics operations.
format Article
id doaj-art-3c2129e7067147e995247f07e4665310
institution Kabale University
issn 2042-3195
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-3c2129e7067147e995247f07e46653102025-08-20T03:55:37ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/5458760Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization AlgorithmChangjiang Zheng0Kai Sun1Yuhang Gu2Jinxing Shen3Muqing Du4College of Civil and Transportation EngineeringCollege of Civil and Transportation EngineeringCollege of Civil and Transportation EngineeringCollege of Civil and Transportation EngineeringCollege of Civil and Transportation EngineeringMultimodal transport is a process of effectively moving cargoes in a single container by combining land transport (road or rail) and maritime or river transport (vessel or barge) in one transport chain. However, cold chain logistics (CCL), as a special while major kind of cargo delivery, has not been incorporated with this beneficial combination. In order to realize efficient delivery of cold chain foods (CCF), in this study, the characteristics of multimodal and CCL are analyzed and integrated to select the optimal logistics path. In establishing the path-selection model, customer satisfaction is introduced, which is reflected by arrival punctuality and the quality of CCF. An improved particle swarm optimization algorithm (IPSO) is introduced to address the model and is proven to retain a fast convergence rate and achieve outstanding solving accuracy through the experimental study. Sensitivity analysis is also conducted to present the impact of railway speed and cost variation on path selection. Results show that compared with highway transport, railway transport is preferable to the medium and long distance. The influence of railway speed improvement is more striking than cost reduction in motivating decision makers to choose railway transport mode in logistics operations.http://dx.doi.org/10.1155/2022/5458760
spellingShingle Changjiang Zheng
Kai Sun
Yuhang Gu
Jinxing Shen
Muqing Du
Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm
Journal of Advanced Transportation
title Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm
title_full Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm
title_fullStr Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm
title_full_unstemmed Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm
title_short Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm
title_sort multimodal transport path selection of cold chain logistics based on improved particle swarm optimization algorithm
url http://dx.doi.org/10.1155/2022/5458760
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AT kaisun multimodaltransportpathselectionofcoldchainlogisticsbasedonimprovedparticleswarmoptimizationalgorithm
AT yuhanggu multimodaltransportpathselectionofcoldchainlogisticsbasedonimprovedparticleswarmoptimizationalgorithm
AT jinxingshen multimodaltransportpathselectionofcoldchainlogisticsbasedonimprovedparticleswarmoptimizationalgorithm
AT muqingdu multimodaltransportpathselectionofcoldchainlogisticsbasedonimprovedparticleswarmoptimizationalgorithm