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模糊环境中含质量缺陷及服务水平约束的(R,Q)模型

(R,Q) Inventory Models for Items with Imperfect Quality and Service Level Constraint in the Fuzzy Environment
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摘要 基于可信性理论,研究了产品需求及到货产品质量不确定环境下的连续盘点(R,Q)库存模型。运用梯形模糊数表示需求、缺陷率等不确定性因素,首先运用模糊变量的期望值建立最优订货批量Q*;然后根据预定的服务水平约束确定合理的安全库存,以消除不确定因素对顾客满意度造成的影响,并确定相应的订货点,使整个库存在满足服务水平的同时,实现利润最大化。 Based on the credibility theory, continuous review inventory model is investigated under fuzzy demand and imperfect quality. In the paper, the uncertain factors are expressed by trapezoidal fuzzy number. Firse, by using the expected value of the fuzzy number, the optimal order quantity is decided. Second the safety stock and the reordering point are decided according to the required service level, in order to eliminate the influence of uncertainties on customers＇ satisfaction, and to maximize profit when the service level is satisfied.
作者 王晓莉 张贞齐 胡劲松
机构地区 青岛大学国际商学院管理科学与工程系 青岛大学研究生处
出处 《青岛大学学报（自然科学版）》 CAS 2008年第2期72-76,共5页 Journal of Qingdao University(Natural Science Edition)
基金 国家自然科学基金资助项目(70671056)
关键词 缺陷率 模糊需求 可信性理论 服务水平约束 Imperfect quality Fuzzy demand credibility theory service level constraint
分类号 F224 [经济管理—国民经济]
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参考文献7

  • 1Hung-Chi Chang. An application of fuzzy sets theory to the EOQ model with imperfect quality items [J]. Computers Operations Research, 2004, 31: 2079- 2092.
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二级参考文献9

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共引文献23

青岛大学学报（自然科学版）
2008年 第2期

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