运筹与管理 ›› 2020, Vol. 29 ›› Issue (2): 116-128.DOI: 10.12005/orms.2020.0041

• 理论分析与方法探讨 • 上一篇    下一篇

基于预防维修和质量损失函数的VSI EWMA控制图经济设计

薛丽1,2   

  1. 1. 郑州航空工业管理学院 信息管理学院,河南 郑州 450046;
    2. 天津大学 管理与经济学部,天津 300072摘 要:为了提高过程监控效率的同时降低过程控制成本,研究可变抽样区间VSI指数加权移动平均EWMA
  • 收稿日期:2018-02-02 出版日期:2020-02-25
  • 作者简介:薛丽(1981-), 女, 河南项城人, 副教授, 硕士生导师, 博士, 研究方向:质量工程。
  • 基金资助:
    国家自然科学基金资助项目(71701188,U1204702,71661147003,71672209,71871204,U1604262);航空科学基金资助项目(2016ZG55021);中国博士后科学基金资助项目(2016M601266);河南省高等学校青年骨干教师资助计划项目(2016GGJS-112);河南省高校科技创新人才支持计划(19HASTIT032);河南省科技攻关计划(172102210517)

Economic Design of EWMA Control Charts with Variable Sampling Intervals under Preventive Maintenance and Quality Loss Functions

XUE Li1,2   

  1. 1. School of Information Management, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China;
    2. College of Management and Economics, Tianjin University, Tainjin, 300072, China
  • Received:2018-02-02 Online:2020-02-25

摘要: 为了提高过程监控效率的同时降低过程控制成本,研究可变抽样区间(VSI)指数加权移动平均(EWMA)控制图的经济设计问题。首先建立基于预防维修和质量损失函数的VSI EWMA控制图联合经济模型;使单位时间的损失成本函数最小来确定参数的最优值;其次用遗传算法来寻找联合经济模型的最优解,并给出一个算例。最后对VSI EWMA控制图联合经济模型进行灵敏度分析,得出控制图模型参数对设计参数的影响关系。

关键词: 可变抽样区间, 指数加权移动平均(EWMA)控制图, 经济设计, 质量损失函数, 预防维修

Abstract: To improve the monitoring efficiency while reducing costs for process control, economic design of exponential weighted moving average(EWMA)control chart with variable sampling intervals(VSI)under preventive maintenance and quality loss functions is discussed in this paper. Firstly, the integrated economic model for combining the preventive maintenance and the economic design of VSI EWMA control chart using quality loss functions is developed. Further, the optimal values of the parameters will be determined such that the expected loss function of unit time in an average cycle process is minimized. Secondly, a calculation example is provided and the genetic algorithms will be used to search for the optimal values of the parameters of the VSI EWMA control chart. Finally, the sensitivity analysis ofthis proposed model is done to find the influence relationship between the model parameters and the design parameters.

Key words: variable sampling intervals, exponential weighted moving average(EWMA)control chart, economic design, preventive maintenance, quality loss functions

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