Optimization Model and Algorithm for Platform-based"Dispatch+Grab-order"Delivery Mode under Large-scale Disruption Events
Large-scale disruption events can cause platform delivery to face realistic problems such as order ambiguity,complex vehicle delivery network,and difficulty in matching pickup and delivery sequences.This study addresses the combined"dispatch+grab-order"operational model,leveraging the efficient courier-order matching of the dispatch model and the enhanced delivery flexibility of the grab-order model.With the dual optimization goals of minimizing delivery costs and maximizing customer satisfaction,an optimization model is de-veloped to ensure orderly pick-up and delivery in multi-seller and multi-customer relationships.A hybrid GA-SA evolution-ary algorithm is designed to effectively plan delivery routes for couriers.Numerical experiments show that the proposed opti-mization algorithm can efficiently solve real-time vehicle rout-ing problems.
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