摘要
针对复杂不确定环境下的联合采购决策难题,用三角模糊数表示不确定的次要订货费用、库存持有费用和资金约束条件,用梯形模糊数表示不确定的存储空间约束,构建了模糊联合采购模型,并采用两种方法对模糊总成本进行去模糊化处理。进而在对差分进化(DE)算法改进并借助典型函数测试性能的基础上,给出了基于改进DE的模糊联合采购模型求解流程,算例证明所设计的DE算法能较好地解决模糊联合采购问题。
Aiming at making hard decision of joint replenishment problem （JRP） under high uncertainty, this paper proposed a fuzzy JRP model using triangular fuzzy number to represent the minor setup cost and holding cost and fuzzy capital constraints, and trapezoid fuzzy number to represent the fuzzy storage capacities constraints. Then, it proposed the detailed steps to solve the fuzzy JRP using two kinds of defuzziness approaches and the improved differential evolution （DE） algorithm based on the tests of the performance by typical functions. Numerical examples illustrate the proposed DE algorithm can be a suitable approach to solve the fuzzy JRP model .
出处
《计算机应用研究》
CSCD
北大核心
2012年第3期880-884,共5页
Application Research of Computers
基金
国家自然科学基金资助项目(70801030)
湖北省教育厅科研重点资助项目(D20112201)
国家教育部人文社会科学研究青年基金项目(11YJC630275)
关键词
联合采购
三角模糊数
梯形模糊数
去模糊化
差分进化算法
joint replenishment
triangular fuzzynumber
trapezoid fuzzy number
defuzziness
differential evolution algorithm
