Integrated Optimization of Order Allocation and Last-Mile Multi-Temperature Joint Distribution for Fresh Agriproduct Community Retail

Community retail is an important research issue in the field of fresh agriproduct e-commerce. This paper focuses on problem last-mile multi-temperature joint distribution (MTJD), which combines time coupling, order allocation, and vehicle scheduling. Firstly, according to temperature a refrigerated truck zones, split-order packing decision proposed integrate different types agriproduct. Then, allocation strategy incorporated into comprehensive picking schedule, while taking account time-coupling picking, distribution, delivery limit. To improve consumer satisfaction reduce fulfillment costs, optimization model combining multi-item scheduling established, determine optimal scheme route. Finally, community Gulou District Nanjing as example, effectiveness feasibility are illustrated. The numerical results medium- large-scale examples show that, compared with variable neighborhood search algorithm (VNS) genetic (GA), mixed (MGA) can save 29% CPU 65% iterations. study considers integrated multiple links, provide scientific support for e-commerce enterprises.