生鲜品多中心区域协作半开放式配送路径研究

针对生鲜产品区域配送问题,在新物流理念下,建立了区域协作下多中心半开放式配送路径.鉴于生鲜品配送的独特性,将时间窗及满意度考虑在内,构建在时间惩罚、满意度指标及路径约束条件下的成本优化模型.结合A生鲜企业数据,设计了一种改进的自适应遗传算法与变邻域搜索算法相结合的混合算法解决问题.通过仿真实验证明模型合理性以及算法实效性.实验表明,区域协作下多中心半开放式配送方案对比各区域独立封闭式配送方案具有改进性,提高了物流配送的效率,降低成本同时保证高客户满意度,有助于生鲜配送企业整体发展.并在此基础上,对生鲜配送企业进一步发展提出建议.

Research on the Distribution Path of Fresh Products With Multi-Depot Regional Cooperation and Half-Open Mode

Aiming at the regional distribution problem of fresh products, under the new logistics concept, the half-open and multi-depot routing problem under regional cooperation is established. In view of the uniqueness of fresh product distribution, a cost optimization model under the constraints of time penalty, satisfaction index and path was constructed by taking time window and satisfaction degree into account. Combined with A fresh enterprise data, an improved hybrid algorithm combining adaptive genetic algorithm and variable neighborhood search algorithm was designed to solve the problem. Simulation experiments prove the rationality of the model and the effectiveness of the algorithm. The experiment shows that the half-open and multi-depot distribution scheme under regional cooperation is improved compared with the independent regional closed distribution scheme, which improves the efficiency of logistics distribution, reduces costs and ensures high customer satisfaction, which is conducive to the overall development of fresh distribution enterprises. On this basis, the further development of fresh distribution enterprises is proposed.