三级网状随机库存与定价联合策略的仿真优化  

Simulation-Based Optimization of the Policy Combining Three-Echelon Network Stochastic Inventory with Pricing

作　　者：高镜媚[1] 汪定伟[1] 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110004

出　　处：《东北大学学报（自然科学版）》2009年第10期1385-1389,共5页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(70171021);国家创新研究群体科学基金资助项目(60821063);高等学校博士学科点专项科研基金资助项目(200801450008)

摘　　要：研究了弹性需求下提前期可控的库存与定价联合策略问题.由于该系统具有顾客到达服从泊松分布,随机顾客需求量、随机顾客购买行为、随机订货时间和制造商生产容量有限制等特点,使得解析方法很难描述系统中的多种复杂随机因素.为此建立了以最大化总收益为目标,将价格、提前期及库存控制策略同时作为决策变量的数学模型,并运用基于仿真的优化方法,通过将仿真方法与粒子群优化算法相结合对问题进行求解.仿真实例验证了模型和基于仿真的优化方法的可行性和有效性.How to decide the policy combining inventory and pricing with both controllable lead time and elastic demand is the problem to be mired. Because the customer arrival time follows Possion distribution and customers＇ demands/purchase and lead time are all stochastic with suppliers＇ limited production capacity in inventory system, it is difficult to describe various complex and stochastic factors by analytical method. A mathematical model is thus developed aiming at maximizing the total profit with the price, lead time and inventory control strategy as variables in decision making, Then, the simulation-based optimization （SBO） is implemented to ,solve the problem via combining the simulation with particle swarm optimization （PSO） algorithm. A simulation is done as example to verify the feasibility and the effectiveness of both the mathematical model and SBO.

关 键 词：弹性需求 提前期 库存与定价 仿真优化 粒子群优化 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]