摘要
构建了一个基于等待时间限制的、多级多库存点、连续盘点的低需求服务备件库存系统模型,在目标服务水平约束下寻求各点的最优库存量使得系统总成本最小,其中目标服务水平由最大的等待时间限制来体现。最后采用MATLAB遗传算法工具箱对模型进行求解,通过一个算例验证了模型的有效性。
A multi-item and multi-location inventory model is formed for low-demand service parts with waiting time constraints.In the inventory system,the continuous-review policy is used.The goal is to look for an optimal stock for each local warehouse under the target service which is presented by aggregate mean waiting time constraints per local warehouse.Finally,MATLAB genetic algorithm toolbox is used to solve for the model and a numerical example is presented to demonstrate the validity of the model.
出处
《山东大学学报（理学版）》
CAS
CSCD
北大核心
2010年第3期61-65,共5页
Journal of Shandong University(Natural Science)
基金
国家自然科学基金资助项目(70871122)
教育部人文社科基金资助项目(09YJC630230)
关键词
服务备件
同级转运
多级库存
等待时间限制
遗传算法
service parts
lateral transshipment
multi-echelon inventory
waiting time constraints
genetic algorithm
