Optimization of Goods Delivery Routes for Community Group Buying Based on the Proportion of Fresh Products
Aiming at the issue of varying proportions of fresh products in the goods delivered to different grid stations during community group buying,with batches containing a higher proportion of fresh products needing expedited delivery,a community group buying goods delivery route planning model based on the proportion of fresh products was established. Taking into account the basic costs,the model imposes different penalties on delivery requests that violate soft time window constraints,based on the proportion of fresh agricultural products at different target nodes relative to the total types of goods. This ensures priority delivery for batches with a higher proportion of fresh products. Additionally,an improved simulated annealing algorithm was utilized to experimentally simulate the model,confirming the effectiveness of both the model and the improved algorithm.
proportion of fresh productscommunity group buyingsimulated annealing algorithmroute optimization
万方数据
维普
