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The X control chart for monitoring process shifts in mean and variance

หน่วยงาน Nanyang Technological University, Singapore

รายละเอียด

ชื่อเรื่อง : The X control chart for monitoring process shifts in mean and variance
นักวิจัย : Yang, Mei , Wu, Zhang , Lee, Ka Man , Khoo, Michael B. C.
คำค้น : DRNTU::Engineering::Mechanical engineering.
หน่วยงาน : Nanyang Technological University, Singapore
ผู้ร่วมงาน : -
ปีพิมพ์ : 2555
อ้างอิง : Yang, M., Wu, Z., Lee, K. M., & Khoo, M. B. C. (2012). The X control chart for monitoring process shifts in mean and variance. International journal of production research, 50(3), 893-907. , http://hdl.handle.net/10220/16878 , http://dx.doi.org/10.1080/00207543.2010.539283
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : International journal of production research
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

Control charts are widely used in statistical process control (SPC) to monitor the quality of products or production processes. When dealing with a variable (e.g., the diameter of a shaft, the hardness of a component surface), it is necessary to monitor both its mean and variability (Montgomery 2009 [Montgomery, D.C., 2009. Introduction to statistical quality control. New York: John Wiley & Sons.]). This article studies and compares the overall performances of the X chart and the 3-CUSUM chart for this purpose. The latter is a combined scheme incorporating three individual CUSUM charts and is considered as the most effective scheme for detecting mean shift δμ and/or standard deviation shift δσ in current SPC literature. The results of the performance studies reveal two interesting findings: (1) the best sample size n for an Ẋ chart is always n = 1, in other words, the simplest X chart (i.e., the Ẋ chart with n = 1) is the most effective Ẋ chart for detecting δμ and/or δσ; (2) the simplest X chart often outperforms the 3-CUSUM chart from an overall viewpoint unless the latter is redesigned by a difficult optimisation procedure. However, even the optimal 3-CUSUM chart is only slightly more effective than the X chart unless the process shift domain is quite small. Since the X chart is very simple to understand, implement and design, it may be more suitable in many SPC applications, in which both the mean and variance of a variable need to be monitored.

บรรณานุกรม :
Yang, Mei , Wu, Zhang , Lee, Ka Man , Khoo, Michael B. C. . (2555). The X control chart for monitoring process shifts in mean and variance.
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Yang, Mei , Wu, Zhang , Lee, Ka Man , Khoo, Michael B. C. . 2555. "The X control chart for monitoring process shifts in mean and variance".
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Yang, Mei , Wu, Zhang , Lee, Ka Man , Khoo, Michael B. C. . "The X control chart for monitoring process shifts in mean and variance."
    กรุงเทพมหานคร : Nanyang Technological University, Singapore, 2555. Print.
Yang, Mei , Wu, Zhang , Lee, Ka Man , Khoo, Michael B. C. . The X control chart for monitoring process shifts in mean and variance. กรุงเทพมหานคร : Nanyang Technological University, Singapore; 2555.