A single X chart outperforming the joint (X)over-bar &R and (X)over-bar &S charts for monitoring mean and variance

被引:8
|
作者
Haridy, Salah [1 ]
Ou, Yanjing [2 ]
Wu, Zhang [3 ]
Khoo, Michael B. C. [4 ]
机构
[1] Benha Univ, Fac Engn, Banha, Egypt
[2] Singapore Inst Mfg Technol SIMTech, Singapore, Singapore
[3] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore, Singapore
[4] Univ Sains Malaysia, Sch Math Sci, George Town, Malaysia
来源
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT | 2016年 / 13卷 / 03期
关键词
Quality control; statistical process control; control chart; Shewhart chart; Average extra quadratic loss; STATISTICAL PROCESS-CONTROL; VARIABLE SAMPLE-SIZES; SHORT PRODUCTION-RUNS; CUSUM CHART; (X)OVER-BAR; INTERVALS; LOCATION; SHIFTS; OPTIMIZATION; DESIGN;
D O I
10.1080/16843703.2016.1189181
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The Shewhart (X) over bar & R and (X) over bar & S control charts have traditionally been used for detecting mean shift and standard deviation shift (sigma). This article studies and compares the overall performance of the (X) over bar chart with that of the (X) over bar & R and (X) over bar & S charts, as well as the X&MR chart. The comparative study led to surprising results that contradict the conventional wisdom in Statistical Process Control (SPC) niche. It is found that the simplest single X chart (i.e., the (X) over bar chart with a sample size n=1) is always the optimal version of the (X) over bar chart for detecting and (sigma). Moreover, the single X chart even outperforms the joint (X) over bar & R and (X) over bar & S charts in overall detection effectiveness. On average, the X chart is more effective than the (X) over bar & R and (X) over bar & S charts by around 5% under different circumstances. Most importantly, the X chart is very simple to understand, implement and design. As a result, it may be highly preferred for many SPC applications, in which both the mean and variance of a variable need to be monitored.
引用
收藏
页码:289 / 308
页数:20
相关论文
共 50 条
  • [31] X(4140), X(4270), X(4500), and X(4700) and their cs(c)over-bar (s)over-bar tetraquark partners
    Wu, Jing
    Liu, Yan-Rui
    Chen, Kan
    Liu, Xiang
    Zhu, Shi-Lin
    PHYSICAL REVIEW D, 2016, 94 (09)
  • [32] Polarized ρ mesons and the asymmetry between Δ(d)over-bar(x) and Δ(u)over-bar(x)
    Fries, RJ
    Schäfer, A
    PHYSICS LETTERS B, 1998, 443 (1-4) : 40 - 44
  • [33] Optimization of joint (X)over-bar and S control charts with asymmetric control limits
    Wu, Z
    Wang, QN
    PROCESS CONTROL AND QUALITY, 1997, 10 (03): : 269 - 281
  • [34] On the Matrix Equation X(X)over-bar = A
    Ikramov, Kh. D.
    DOKLADY MATHEMATICS, 2009, 79 (01) : 53 - 55
  • [35] A study of cumulative sum ((x)over-bar, s) control charts
    Takemoto, Y
    Watakabe, K
    Arizono, I
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2003, 41 (09) : 1873 - 1886
  • [36] Proposed (X)over-bar and S Control Charts for Skewed Distributions
    Khoo, M. B. C.
    Atta, A. M. A.
    Chen, C-H.
    2009 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-4, 2009, : 389 - 393
  • [37] Estimation of the change point in the (X)over-bar and S control charts
    Park, J
    Park, S
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2004, 33 (04) : 1115 - 1132
  • [38] Detection of shift in process mean with (X)over-bar chart for autocorrelated data
    Singh, Sukhraj
    Prajapati, D.
    INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2013, 30 (07) : 765 - +
  • [39] The Joint Economic-statistical Design of (X)over-bar and R Charts for Nonnormal Data
    Chen, Huifen
    Pao, Yikung
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2011, 27 (03) : 269 - 280
  • [40] Joint conomic design of (x)over-bar and R charts under Weibull shock models
    Rahim, MA
    Costa, AFB
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2000, 38 (13) : 2871 - 2889