For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Study on Effort of Ultrasonic Treatment on Water Retention Value of Pulp Fiber
p.458
A Comparative Study on Calculating Water Storage Change of River Basin Based on Two Methods
p.465
A Design for the Wave Power Generation Conversion Device
p.472
A Distribution Regularity Study about Ternary Composite Expulsion of Residual Oil within the Third Grade of Reservoir Bed in the Northeast Massif of Lamadian, Heilongjiang, China
p.476
A Method of Energy-Saving Optimization of Logistics Distribution Plan
p.481
Adaptive Solar Power Supply System Based on SCM
p.485
Analysis of Beach Protection Project Function in Middle Reaches of the Yangtze River
p.489
Cold to Architectural Environment Research and Countermeasures
p.493
Constraint Matrix Method Used in Wave Energy Converter
p.497

A Method of Energy-Saving Optimization of Logistics Distribution Plan

Article Preview

Abstract:

Reasonable logistics distribution plan can not only reduce distribution costs, but also be conducive to energy saving and emissions reduction. This study aims to optimize logistics distribution plan with the minimum energy consumption as objective. Firstly, as for the time-dependent vehicle routing problem with time windows (TDVRPTW), considering the effect of total vehicle weight and travel speed on energy consumption factor, an optimization function is proposed to minimize the fuel consumption during delivery; secondly, based on the road network and traffic information, the ant colony algorithm is used to solve the TDVRPTW to optimize the distribution plan; finally, experiments are designed to evaluate the effectiveness of the proposed optimization method, and the results show that, compared to the existing optimization approach, the proposed method can effectively reduce the energy consumption of delivery vehicles by about 12.76%.

You might also be interested in these eBooks
Materials, Transportation and Environmental Engineering II View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1030-1032)

Pages:

481-484

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.481

Citation:

Cite this paper

Online since:

September 2014

Authors:

Nan Lu*, En Jian Yao, Yong Sheng Zhang, Zhi Feng Lang

Keywords:

Energy-Saving Optimization, Logistics Distribution Plan, Traffic Engineering, Vehicle Routing Planning

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] Y.Y. XIAO, Q.H. ZHAO, I. KAKU. Computers & Operations Research, Vol. 39(2012), p.1419.

Google Scholar

[2] MALANDRAKI C, DASKIN M S. Transportation Science, Vol. 26(1992), p.185.

Google Scholar

[3] Z.Y. DUAN, D.Y. YANG and S. WANG. Control Theory & Applications, Vol. 27(2010), p.1557.

Google Scholar

[4] X.S. WANG, J. PAN, Y.H. CHENG. ACTA ELECTRONICA SINICA, Vol. 10(2011), p.2359.

Google Scholar

[5] Y. KUO, C.C. WANG. Management of Environmental Quality, Vol. 22(2011), p.440.

Google Scholar

[6] Y. SUZUKI. Transportation Research Part D, Vol. 16(2011), p.73.

Google Scholar

[7] E. J YAO, X.R. WANG, Q.R. YANG, etc. Advanced Energy Technology Part 2, p.844.

Google Scholar

[8] C.X. LI, S.L. ZHANG and M.B. PANG. Transportation Science & Technology, Vol. 1(2011), p.104.

Google Scholar

[9] E.J. YAO, Y.Y. SONG. Journal of Intelligent Transportation Systems, Vol. 17(2013), p.42.

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.