基于需求和缺货预测改进的补货-服务水平组合策略优化
Optimizing of Service-Replenishment Policies Based on Improved Forecast Accuracy of Demand and Under-Stocking on Cooperation
摘要: 针对单周期产品、易腐产品、耐腐产品和季节性产品,系统地研究了供销节点之间在成本分担合作模式下的补货和服务水平组合策略优化,对每种典型产品给出了组合策略优化方法。对耐腐和季节性产品提出了基于需求和缺货预测改进的变周期向前改进的补货-服务组合策略,可根据实际缺货损害程度改进缺货成本计算精度,从而提高策略的优化程度和实际操作性。结论表明:对各种典型产品,合作的补货-服务组合策略维持了较高而稳定的最优服务水平和补货量,从而有利于供销双方的协调运作。
Abstract: Joint strategy of service-replenishment policy based on cooperation and cost sharing between vendor and retailer, is analyzed for typical products as single period, perishable, imperishable and seasonal product. Service-replenishment policy is proposed for each typical product. An improved-forward with changing cycle service-replenishment policy based on improved forecast accuracy of demand and under-stocking is also proposed for imperishable and seasonal product. With increased accuracy of cost of under-stocking accounting, according to the real under-stocking hurt, this policy will also increase both the optimal degree and actual operation. The conclusion is that: joint strategy of service-replenishment policy optimization keeps higher and stable service level, and then, incurs higher and stable replenishment lot size as a result, which will help to har-monize the operation and cooperation of the two parts in reality.
文章引用:李秀森, 潘月君, 王效义. 基于需求和缺货预测改进的补货-服务水平组合策略优化[J]. 服务科学和管理, 2018, 7(6): 157-161. https://doi.org/10.12677/SSEM.2018.76019

参考文献

[1] Chopra, S. and Meindl, P. (2001) Supply Chain Management-Strategy, Planning, and Operation. Tsinghua University Publisher, Peking, 183-229. [Google Scholar] [CrossRef
[2] (美)巴罗. 企业物流管理—供应链的规划、组织和控制[M]. 王晓东, 等, 译. 北京: 机械工业出版社, 2002: 61-82.
[3] 申成霖, 侯文华, 张新鑫, 卿志琼. 基于信息更新与服务水平约束的供应链订货及协调决策[J]. 中国管理科学, 2012, 20(5): 55-63.
[4] 申成霖, 张新鑫, 卿志琼. 服务水平约束下基于顾客策略性退货的供应链契约协调研究[J]. 中国管理科学, 2010, 18(4): 56-64.
[5] Khouja, M. (1999) The Single-Period (News-Vendor) Problem. Literature Review and Suggestion for Future Research. Omega, 27, 537-553.
[6] 徐晓燕, 李四杰. 单周期产品两层供应链的合作行为分析[J]. 系统工程学报, 2005(5): 478-484.
[7] Zhao, W. and Zheng, Y.-S. (2002) Optimal Dy-namic Pricing for Perishable Assets with Non-Homogeneous Demand. Management Science, 4, 999-1020.
[8] Chun, Y.H. (2003) Optimal Pricing and Ordering Policies for Perishable Commodities. European Journal of Operational Research, 144, 68-82. [Google Scholar] [CrossRef