Research on Logistics Distribution Allocation Dispatching System Based on GIS

Hai Song Lin; Bi Xi Zhang

doi:10.4028/www.scientific.net/AMR.433-440.1988

Paper Titles

A New Queuing Algorithm of Ophthalmic Hospital Beds Arrangement
p.1971

An Effective Method of Image Quality Protection Based on ROI Extraction
p.1975

Analysis of Logistics Cost Control of Commercial Chain Enterprises
p.1980

Research on the Network Marketing of Tea Sale
p.1984

Research on Logistics Distribution Allocation Dispatching System Based on GIS
p.1988

Research on the Evaluation Indicators System of the Business Financial Condition
p.1993

The Study on the Stability of Agro-Ecosystem’s Productivity
p.1998

Analysis of Synthetic Aperture Radar Imaging and Signal Processing
p.2004

Error Probability Analysis of Time-Hopping Biorthogonal Pulse Position Modulation UWB Systems with a RAKE Receiver over Indoor Multi-Path Fading Channels
p.2011

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Research on Logistics Distribution Allocation...

Research on Logistics Distribution Allocation Dispatching System Based on GIS

Abstract:

From the practical point of view, the paper researches the optimal and dynamic distribution optimization scheduling model, and explores the dynamic scheduling strategies of optimal scheduling model and GIS. At the same time, it also gives the formal distribution definition of the distribution optimization scheduling model, studies the model algorithm and analyzes performance of algorithm by means of examples. Finally, the article also designs and implements a logistics distribution allocation dispatching prototype system according to business needs of logistics distribution companies.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

1988-1992

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.1988

Citation:

Cite this paper

Online since:

January 2012

Authors:

Hai Song Lin, Bi Xi Zhang

Keywords:

Distribution Optimization, Dynamic Scheduling, Logistic, Tracking

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Ellinger, Alexander E. Improving Marketing/Logistics Cross-Functional Collaboration in the Supply Chain. Industrial Marketing Management, 2000, 29(1): 85-86.

DOI: 10.1016/s0019-8501(99)00114-5

Google Scholar

[2] Yao-Huang Guo, Li Jun. Vehicle scheduling. Chengdu: Chengdu Science and Technology Press, 1994: 50-87.

Google Scholar

[3] G. Loganathan. GPS and GIS Technology Trends. IEEE, 2002: 292-294.

Google Scholar

[4] Hassan A. Karimi, Prashant Krishnamurthy. Real-Time Routing in MobileNetworks Using GPS and GIS Techniques. IEEE, 2001: 1-11.

Google Scholar

[5] R. Glidden et al. Design of ultra-low-cost UHF RFID tags for supply chain applications. IEEE Communications, 2004, 42(8): 140-151.

DOI: 10.1109/mcom.2004.1321406

Google Scholar

[6] M. Savelsbergh. Local search for routing problem with time window. Annals of Operations Research, 1985, 16(4): 285-305.

Google Scholar

[7] T. Dusan,P. Goran. Fuzzy set theory approach to the vehicle routing problem when demand at nodes is uncertain. Fuzzy Set and Systems, 1996, 82(3): 307-317.

DOI: 10.1016/0165-0114(95)00276-6

Google Scholar

[8] D. Teodorovic, G. Pavkovic. A simulated annealing technique approach to the vehicle routing problem in the case of stochastic demand. Transportation Planning and Technology, 1992, 16: 261-270.

DOI: 10.1080/03081069208717490

Google Scholar