东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (10): 1385-1389.DOI: -

• 论著 • 上一篇    下一篇

三级网状随机库存与定价联合策略的仿真优化

高镜媚;汪定伟;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-10-15 发布日期:2013-06-22
  • 通讯作者: Gao, J.-M.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(70171021);;

Simulation-based optimization of the policy combining three-echelon network stochastic inventory with pricing

Gao, Jing-Mei (1); Wang, Ding-Wei (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-10-15 Published:2013-06-22
  • Contact: Gao, J.-M.
  • About author:-
  • Supported by:
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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.

关键词: 弹性需求, 提前期, 库存与定价, 仿真优化, 粒子群优化

Abstract: How to decide the policy combining inventory and pricing with both controllable lead time and elastic demand is the problem to be solved. 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.

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