Automated Driver Scheduling for Vehicle Delivery
Vehicle delivery is a major business where third-party drivers are hired to deliver vehicles when they are relocated, sold, or while returning rental cars. This is a complex process due to the wide variation in collection/delivery locations, time bounds, types of vehicles, special skills required by drivers, and impact due to traffic and weather. We propose an automated driver scheduling solution to maximize the number of vehicle deliveries and customer satisfaction while minimizing the delivery cost. Proposed solution consists of a rule checker and a scheduler. Rule checker enforces constraints such as deadlines, license types, skills, and working hours. Scheduler uses simulated annealing to assign as many jobs as possible while minimizing the overall cost. Using a workload derived from an actual vehicle delivery company, we demonstrate that the proposed solution has good coverage of jobs while minimizing the cost and having flexibility to tolerate breakdowns, excessive traffic, and bad weather.
KeywordsScheduling Simulated annealing Vehicle Delivery
This research is supported in part by the Senate Research Grant of the University of Moratuwa under award number SRC/LT/2016/14.
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