摘要
库存不确定性问题是供应链不确定性研究的重点之一.利用粒子群优化算法快速搜寻最优解的优点对库存不确定性问题进行仿真分析,得出了库存不确定性环境下的最优解,这说明了粒子群优化算法能够辅助供应链管理者在不确定性环境下对供应链进行优化设计和决策分析.
Inventory uncertainty is one of the problems for research priorities on the uncertainty supply chain. The paper simulated uncertainty inventory with the advantage that PSO algorithm quick searches for the optimal solution, and: obtained the optimal solution under the uncertain environment. It shows that PSO algorithm can support supply-chain manager with optimization and decision-making on the supply chain in the context of uncertainty.
出处
《数学的实践与认识》
CSCD
北大核心
2010年第8期36-40,共5页
Mathematics in Practice and Theory
基金
山西省软科学研究项目(2009041020-03)
关键词
粒子群优化
绩效评估
库存
仿真
Particle Swarm Optimization( PSO)
performance evaluation
inventory
simulation