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Analysis and Optimization of Supply Chain Traffic using Mobility Mining Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 54 - Number 6 |
| Year of Publication: 2012 |
| Authors: Sabu Augustine, Sajimon Abraham |
10.5120/8574-2311
|
Sabu Augustine, Sajimon Abraham . Analysis and Optimization of Supply Chain Traffic using Mobility Mining Techniques. International Journal of Computer Applications. 54, 6 ( September 2012), 40-43. DOI=10.5120/8574-2311
Abstract
The mobile objects in the supply chain present the means of transportation, and they have an influence on the functioning of the supply chain. The mobile object bring a correct information, where and when necessities, to reduce the uncertainty, increase the visibility of products and increase the global efficiency of the supply chain. The supply chain is a system characterized by the mobility between the various processes of the chain as well as the mobility pattern of materials including the vehicle which carries in transportation network. Mobility mining is the process of extracting hidden knowledge from moving object trajectories. This is a concept paper which visualizes the scope of various mobility mining techniques for analysis and optimization of objects moving in transportation network. Also we demonstrate how the trajectory similarity technique which is one of the mobility mining technique could be used for an efficient and effective supply chain infrastructure.
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