Path Optimization Design of Multimode Combined Transport Based on the Linear Programming Method

Article Preview

Abstract:

A single mode of transportation can not satisfy the agile manufacturing, rapid response from the customer demand, logistics supply chain management, and many other aspects with the rapid development of economy. Multimodal combined transport provide the corresponding solutions. Multimodal combined transport helps to save transportation costs or to save transportation time. And multimodal combined transport has a great significance to improve the transportation service level ,to strengthen competition ability, to improve social comprehensive benefit. This article give an example from Liuzhou to Guangzhou. This article make a detailed scheme of Multimodal combined transport. In this paper, integrated transport path optimization model of multimodal combined transport of is set up with linear programming method. And integrated transport path optimization model is solved.Key words:Multimodal combined transport,Path optimization, Linear programming method

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 779-780)

Pages:

1056-1059

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] GongzhongWang , BenxiaoHuang, HuanLiu. Research on the Comprehensive Evaluation Model of Project Risk in Project Management[D]. Logistic science and technology. 2005(02).

Google Scholar

[2] ZhaochenMeng. Discussion on Service Marketing of Regional Logistice Business[D]. Logistics Technology. 2007(05).

Google Scholar

[3] GongzhongWang , BenxiaoHuang, HuanLiu. Research on the Comprehensive Evaluation Model of Project Risk in Project Management[D]. Logistic science and technology. 2005(02).

Google Scholar

[4] DashengChai, JinshengShen, GenzhuLi. Journal of Beijing Jiaotong University. Study on Risk of Virtual Logistics Organizations Based on WBS-RBS and AHP Method. 2006(03).

Google Scholar