考虑需求关联性的多供应商电商库存分配研究  

Multi-supplier e-commerce inventory allocation considering demand correlation

作　　者：李昀洲 陈璐[1] LI Yunzhou;CHEN Lu(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]上海交通大学机械与动力工程学院,上海200240

出　　处：《上海理工大学学报》2023年第2期180-188,共9页Journal of University of Shanghai For Science and Technology

基　　金：国家自然科学基金资助项目(51775347)。

摘　　要：需求关联性现象普遍存在于顾客购买行为中,然而大多数库存管理方面的研究假设产品需求相互独立,忽视关联性造成的影响,可能导致严重的缺货现象发生。针对存在需求关联性情况下具有库存容量限制的多供应商电商库存分配问题,应用FP-Growth算法从订单数据库中挖掘得到关联规则,并将关联规则抽象为一种约束,建立双目标随机规划数学模型,通过分段线性拟合方法对非线性目标函数和约束进行处理。采用非支配排序遗传算法(NSGA-Ⅱ)对模型进行求解,基于“先知种群”改进种群初始化过程,以提升算法收敛速度。使用真实数据的数值实验表明,基于关联规则的库存分配模型能以小幅度增加运营成本为代价,显著减少缺货数量。最后对库存容量、关联规则置信度和供应商个数进行敏感性分析,进一步为电商平台管理者提供了参考。ed into a kind of constraints.A bi-objective stochastic programming model was built,and piecewise linear approximation method was used to handle the nonlinear objective function and constraint.A non-dominated sorting genetic algorithm(NSGA-Ⅱ)was implemented to solve the model,and improved by the modification of population initialization to accelerate the convergence speed of the algorithm.Numerical experiments using real datasets show that the proposed inventory allocation model based on association rules can significantly reduce the number of stockouts at the expense of slightly increasing the operating cost.Sensitivity analysis on capacity constraint,the confidence levels of association rules and the number of suppliers further provide a reference for the manager of e-commerce platform.

关 键 词：库存分配 需求关联性 关联规则挖掘 多供应商 多目标优化 库存容量约束 

分 类 号：F272.3[经济管理—企业管理]