摘要
为研究不确定环境下多需求点应急转运库存策略,考虑由一个中央物资供应点、一个共享仓库和多个需求点组成的二级应急物资供应系统。中央物资供应点和共享仓库为需求点提供物资,需求点对物资的需求为随机模糊变量。计算了需求点依靠自身库存满足需求的比例、需要其他需求点应急转运的比例、直运满足比例和各种费用的计算表达式;建立以总费用最小为目标的函数,考虑各个需求点的服务水平为约束条件、以各个需求点的库存水平和转运点为决策变量的优化决策模型,并针对主要参数的变化分析完全转运策略、部分转运策略和不转运策略的优劣条件,结合随机模糊变量模拟和粒子群算法对模型进行求解。运用具体算例分析了三种转运策略的总费用变化,得出在一定的条件下,完全转运策略下的总费用最低、部分转运策略次之、不转运策略的总费用最高的结论。
To study the multiple demand spots emergency transshipment inventory policy under uncertain environment,a second level emergency materials supply system which included an central materials supply center,a shared warehouse and multiple demand spots was considered.The demand of materials for demand spots was provided by central materials supply center and shared warehouse,which belongs to random fuzzy varible.Proportion of total demand satisfied by demond spots depended on inventory,proportion of other demond spots＇ emergency transshipment,and formulations of direct deliveries＇ satisfied proportion and total cost were calculated.The optimization decision model was proposed with minimum total cost as objective function,considering individual demand spots＇ service level as constraint condition and demand spots＇ stock level and transshipment points as decision variables.Aiming at the changes of main parameters,the comparison analysis was performed on complete transshipment strategy,partial transshipment strategy,and no transshipment strategy.The proposed model was solved by random fuzzy varible simulation combined with particle swarm algorithm.A numerical example was given to analyze the total cost difference among three transshipment strategies,and concluded that the total cost with complete transshipment strategy was least and that without transshipment strategy was highest.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2011年第9期2022-2028,共7页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(70973074)~~
关键词
应急转运
转运点
随机模糊
粒子群算法
emergency transshipment
transshipment point
random fuzzy
particle swarm optimization
