IMPROVING VEHICLE UTILIZATION THROUGH THE USE OF DATA MINING
Open Access
Author:
Li, Heng
Area of Honors:
Supply Chain and Information Systems
Degree:
Bachelor of Science
Document Type:
Thesis
Thesis Supervisors:
Robert Alexander Novack, Thesis Supervisor Dr. Robert Alexander Novack, Thesis Supervisor Anup Sen, Thesis Supervisor Dr. John C. Spychalski, Thesis Honors Advisor
Keywords:
explorative analyses transportation data warehouses
Abstract:
Transportation, or the process of transferring materials, goods, and services from one location to another, is becoming of increasing importance in logistics optimization and supply chain management. With expanding development, management, and application of database technology and information systems, enterprises can use statistical and data mining techniques to trace out their transportation patterns. The results help reveal and highlight hidden trends, changes, and correlations which may help identify opportunities for improvements in both transportation and the overall supply chain network.
