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Optimizing Order Assignments in On-Demand Delivery with Behavior Heterogeneity of Crowdsourced Drivers
Authors: Xinyi Huang, Tonghua Lin, Weiwei Chen, Hongyan Dai
Status: Almost Completed, Preparing for submission to Production and Operations Management
On-Demand Delivery
Optimization
Machine Learning
On-demand delivery platforms assign orders assuming drivers will follow the plan, but crowdsourced drivers often behave differently from one another and from what the platform expects. This project develops an order assignment approach that takes these behavioral differences into account, combining prediction of driver behavior with optimization.