A vehicle scheduling approach for third-party cold chain logistics enterprises based on an improved saving algorithm

Xuetian Ren; Xiaomin Zhu; Zhongxiang He; Xi Xiang; Donghua Chen

doi:10.11860/j.issn.1673-0291-2015.04.021

A vehicle scheduling approach for third-party cold chain logistics enterprises based on an improved saving algorithm

Xuetian Ren, Xiaomin Zhu^*, Zhongxiang He, Xi Xiang, Donghua Chen

^*Corresponding author for this work

Beijing Jiaotong University

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Third-party cold chain logistics enterprises (TPCCLEs) are commonly with the characters of heavy distribution tasks, strict requirements for the quality of cold chain goods, advanced technologies for refrigeration and trace technique, high costs of distribution, etc. Therefore, they have to pay more attention on the issue of vehicle scheduling. Taking the restrictions of vehicle load capacity, volume capacity and time windows of this kind of enterprises into account, this paper proposes a vehicle scheduling model for TPCCLEs based on an improved saving algorithm. The objective function of this model is minimizing the total distribution cost. Then, an instance of vehicle scheduling from a TPCCLE in Beijing is solved out through the C++ programming algorithm, which verifies the rationality of the model.

Original language	English
Pages (from-to)	125-132
Number of pages	8
Journal	Beijing Jiaotong Daxue Xuebao/Journal of Beijing Jiaotong University
Volume	39
Issue number	4
DOIs	https://doi.org/10.11860/j.issn.1673-0291-2015.04.021
Publication status	Published - 1 Aug 2015
Externally published	Yes

Keywords

Multi-commodity and multi-retailer
Saving algorithm
Single-warehouse
Third-party cold chain logistics
Vehicle scheduling

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10.11860/j.issn.1673-0291-2015.04.021

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title = "A vehicle scheduling approach for third-party cold chain logistics enterprises based on an improved saving algorithm",

abstract = "Third-party cold chain logistics enterprises (TPCCLEs) are commonly with the characters of heavy distribution tasks, strict requirements for the quality of cold chain goods, advanced technologies for refrigeration and trace technique, high costs of distribution, etc. Therefore, they have to pay more attention on the issue of vehicle scheduling. Taking the restrictions of vehicle load capacity, volume capacity and time windows of this kind of enterprises into account, this paper proposes a vehicle scheduling model for TPCCLEs based on an improved saving algorithm. The objective function of this model is minimizing the total distribution cost. Then, an instance of vehicle scheduling from a TPCCLE in Beijing is solved out through the C++ programming algorithm, which verifies the rationality of the model.",

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AU - Ren, Xuetian

AU - Zhu, Xiaomin

AU - He, Zhongxiang

AU - Xiang, Xi

AU - Chen, Donghua

PY - 2015/8/1

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AB - Third-party cold chain logistics enterprises (TPCCLEs) are commonly with the characters of heavy distribution tasks, strict requirements for the quality of cold chain goods, advanced technologies for refrigeration and trace technique, high costs of distribution, etc. Therefore, they have to pay more attention on the issue of vehicle scheduling. Taking the restrictions of vehicle load capacity, volume capacity and time windows of this kind of enterprises into account, this paper proposes a vehicle scheduling model for TPCCLEs based on an improved saving algorithm. The objective function of this model is minimizing the total distribution cost. Then, an instance of vehicle scheduling from a TPCCLE in Beijing is solved out through the C++ programming algorithm, which verifies the rationality of the model.

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A vehicle scheduling approach for third-party cold chain logistics enterprises based on an improved saving algorithm

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Keywords

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