摘要
研究再制造供应链的库存管理策略,证明了再制造环境下类似传统供应链中(s,S)策略的最优库存管理策略的存在性.针对订货提前期存在下由于回收产品量信息缺失而造成的理论最优库存管理策略无法实现的问题,进行了产品用户端信息的挖掘,明确了最优策略实现所需的用户端信息.通过实例对算法进行仿真实验,结果验证了(s,S)策略在再制造供应链中的最优性和用户端信息共享对库存成本节约的积极意义.
The inventory policy for supply chain systems with remanufacturing was discussed. The existence of (s,S) type optimal inventory policy was proved. Under lead-time scenarios, the theoretical optimal policy is infeasible as a consequence of the lacking of the returning information of products. Data mining within the user phase was executed to solve this problem. Specification of user phase information that served to implementing optimal policy was articulated. Simulation experiments were conducted to verify the optimality of (s,S) type policy and the contribution of user phase information sharing to inventory cost reduction.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2015年第4期558-563,共6页
Journal of Shanghai Jiaotong University
基金
教育部博士点基金(20120073110029)
国家自然科学基金重点项目(71131005)
上海交通大学文理交叉重点项目(11JCZ02)
关键词
再制造
库存管理
订货策略
用户端信息
remanufaeturing
inventory management
procurement policy
user phase information