摘要
在提前期内需求为模糊随机变量且提前期为可变情形下,建立由制造商和购买商所组成的供应链优化决策模型,其中购买商订货周期、目标订货点和进货提前期、制造商目标库存点为决策变量。首先推导出模糊随机需求条件下购买商、制造商和供应链的成本函数,然后进一步考虑总需求为三角模糊数,推导出购买商、制造商和供应链的模糊成本函数。在此基础上从供应链成本最小角度对模型设计求解,并运用具体算例验证模型的有效性。
The decisions of ordering and lead time reduction in a supply chain consisting of one manufacturer and one buyer with fuzzy random variable lead time demand was investigated. A decision model was presented to determine the lead time, ordering cycle, the buyer＇ s target replenishment level and manufacturer＇ s target inventory level so that the expected supply chain cost could be minimized. The cost functions of buyer, manufacturer and supply chain with fuzzy random lead time demand were first obtained. Then, considering the fuzzy total demand, the fuzzy cost functions for buyer, manufacturer and supply chain were derived. Also, the solution procedure for the proposed model was devel- oped. Finally, a numerical example was provided to illustrate the effectiveness of the proposed model.
出处
《山东大学学报（理学版）》
CAS
CSCD
北大核心
2011年第7期48-55,共8页
Journal of Shandong University(Natural Science)
基金
国家自然科学基金资助项目(70973074)
上海海事大学校基金项目(2009116)
关键词
可变提前期
供应链
模糊随机变量
模糊需求
variable lead time
supply chain
fuzzy random variable
fuzzy demand
