新零售背景下药品协同配送优化研究

随着药品网上零售的发展以及将线上线下融合为核心理念的新零售模式的涌现,药品的全渠道运作特别是协同配送优化问题引起学术界和产业界的广泛关注.新零售背景下药品的前置仓储,配伍使用和客户需求时效性等运营特点给新零售背景下药品配送策略的制定带来了新的难题.本文采用时空网络建模思想,在精准刻画系统决策过程的同时简化模型结构.根据优化问题的两阶段复杂决策特性,本文设计基于拉格朗日松弛方法的综合优化算法求解该模型.最后通过算例分析验证了方法的有效性和高效性,并通过参数敏感性分析提出相应的管理启示,给新零售背景下的药品协同配送运营决策提供参考和建议.

Optimization scheduling method of drug collaborative distribution under the background of new retail

With the development of online retail and the appearance of new retail with the integration of online and offline,the omni-channel operation and especially the collaborative distribution optimization problem have attracted the attention of academics and industry.The drugs operational characteristics under the background of new retail,such as pre-storage,compatibility and timeliness of customer demand,bring new difficulties to the formulation of drug distribution strategy in the new retail.In this paper,the idea of space-time network modeling is adopted to accurately describe the decision-making process of the system and simplify the model structure.According to the two-stage complex decision characteristics of the optimization problem,a comprehensive optimization algorithm based on Lagrangian relaxation method is designed to solve the model.Finally,the effectiveness and efficiency of the algorithm are verified by case studies,and the corresponding management implications are proposed through parameter sensitivity analysis,which provide reference and suggestions for the operation decision of drug collaborative distribution under the background of new retail.