随机需求与机会约束下多源联合选址-库存-定价问题研究

考虑到在大数据背景下,传统确定性模型已无法处理供应链管理中不确定因素的影响,基于随机需求与机会约束,针对短生命周期产品的多源联合选址-库存-定价问题,在允许缺货的情况下,本研究建立了单/多周期两阶段随机规划模型,其中,第一阶段决策选址问题,第二阶段决策库存以及动态定价问题,并运用蒙特卡洛模拟与启发式算法求解。通过算例,分析了单/多周期、随机需求以及动态定价对求解结果的影响,验证了随机因素和库存传递对供应链整体收益产生的正向影响以及启发式算法的有效性,为多源联合选址-库存-定价问题研究提供了参考。

Research on the Multi-Sourcing Joint Location-Inventory-Pricing Problem under Uncertain Demand with Chance Constraint

Considering that in the context of big data, traditional deterministic models can not deal with the influence of uncertain factors in supply chain management, based on uncertain demand and chance constraint, this study established a single/multi period tow-stage stochastic programming model when stock out is allowed to solve the short life cycle products'' multi-sourcing joint location-inventory-pricing problem, in which the first stage deals with the location decision in the tactical period, and the second stage deals with the inventory and pricing problem over the operational periods. Monte-Carlo simulation and heuristic algorithm were used in the solution. Through the numerical examples, the positive influences of multiple periods consideration, randomness of the demand, and the dynamic pricing on the final solution were analyzed, and the rationality of the two heuristic algorithms were demonstrated, providing a reference for the study of multi-sourcing joint location-inventory-pricing problem.