随机需求环境下多级库存优化问题的改进GSA研究  

Study of multi-echelon inventory optimization using improved guaranteed-service approach under stochastic demand

作　　者：李鹏 陈菊红[1] 吴迪 LI Peng;CHEN Juhong;WU Di(School of Economics and Management,Xi’an University of Technology,Xi’an 710054,China)

机构地区：[1]西安理工大学经济与管理学院,陕西西安710054

出　　处：《西安理工大学学报》2020年第1期72-79,共8页Journal of Xi'an University of Technology

基　　金：国家自然科学基金资助项目(71401133);陕西省社会科学资助项目(2018S44);陕西省自然科学基金资助项目(2015JQ7280);西安理工大学人文社科创新团队资助项目(105-451215007)。

摘　　要：针对服务时间保证法(Guaranteed-Service Approach,GSA)在求解多级库存优化问题时未考虑订货成本和柔性成本的局限性,本文研究了一类随机需求环境下的两级分销系统,构建了改进的GSA库存优化型,针对目标函数及非线性约束的复杂性特点,提出基于线性搜索的最优化方法对模型进行求解,实验结论验证了模型及算法的有效性及收敛性。For the limitation of guaranteed-service approach(GSA)in solving the multi-echelon inventory optimization problem without considering fixed order cost and operating flexibility cost,this paper studies a two-echelon distribution system with the stochastic customer demand,with an improved GSA optimization model established.For the complexity of the objective function and nonlinear constraints,an optimization procedure based on line search is proposed to solve the problem.Experimental results demonstrate the effectiveness and convergence by the model and algorithm.

关 键 词：库存管理 多级库存系统 服务时间保证法 (R Q)策略 

分 类 号：C931[经济管理—管理学]