| dc.description.abstract | This thesis investigates the problem of vehicle assignment with time window constraints
for Duy Phuc Trucking Company in South Vietnam. The company is currently
grappling with high outsourcing costs, necessitating a solution to optimize vehicle
assignments and improve internal vehicle utilization. By employing Mixed Integer
Programming (MIP) and Genetic Algorithm (GA), this study achieves a reduction in
costs and enhances internal vehicle utilization. Historical data from Duy Phuc Trucking
Company is utilized to develop the MIP model and train the GA algorithm. The results
demonstrate the effectiveness of the proposed methodology, leading to significant cost
reductions in outsourcing and improved internal vehicle utilization. These findings
provide valuable insights and practical solutions for Duy Phuc Trucking Company,
addressing their challenges and contributing to the field of transportation and logistics. | en_US |
