Nothing Special   »   [go: up one dir, main page]

Liu et al., 2002 - Google Patents

Minimum-loss design of x-bar charts for correlated data

Liu et al., 2002

Document ID
3031348952472988268
Author
Liu H
Chou C
Chen C
Publication year
Publication venue
Journal of Loss Prevention in the Process Industries

External Links

Snippet

When the x-bar chart is used to monitor a production process, three parameters should be determined: the sample size, the sampling interval between successive samples, and the control limits for the chart. In 1956, Duncan presented a cost model to determine the three …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/26Investigating or analysing materials by specific methods not covered by the preceding groups oils; viscous liquids; paints; inks
    • G01N33/28Oils, i.e. hydrocarbon liquids
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled

Similar Documents

Publication Publication Date Title
Chou et al. Economic-statistical design of x¥ charts for non-normal data by considering quality loss
Celano et al. Performance of t control charts in short runs with unknown shift sizes
Chou et al. Economic design of variable sampling intervals T2 control charts using genetic algorithms
Liu et al. Minimum-loss design of x-bar charts for correlated data
Chou et al. Economic design of variable sampling intervals EWMA charts with sampling at fixed times using genetic algorithms
Carson et al. Exponentially weighted moving average (EWMA) control charts for monitoring an analytical process
Ganguly et al. A teaching–learning based optimization approach for economic design of X-bar control chart
Chou et al. Economic-statistical design of multivariate control charts using quality loss function
Song et al. Multifractional and long-range dependent characteristics for remaining useful life prediction of cracking gas compressor
Xie A knowledge-based multi-dimension discrete common cause failure model
Chou et al. Economic-statistical design of multivariate control charts for monitoring the mean vector and covariance matrix
Hossain et al. Estimation of mixture Maxwell parameters and its possible industrial application
Chou et al. Economic design of averages control charts for monitoring a process with correlated samples
Chou et al. Economic Statistical Design of Average Control Charts for Monitoring a Process under Non-normality
Mun et al. Domain-knowledge-informed functional outlier detection for line quality control systems
Wang et al. Multi-affine visible height correlation analysis for revealing rich structures of fractal time series
Fallah Nezhad et al. A new policy for designing acceptance sampling plan based on Bayesian inference in the presence of inspection errors
Amjadi et al. Median‐rate control chart for simultaneous monitoring of frequency and magnitude of events
Ekhlasi et al. Improving transfer entropy and partial transfer entropy for relative detection of effective connectivity strength between time series
Allen SDE models with exponential drift and diffusion for approximating fatigue crack growth dynamics
Eizi et al. Comparison between two methods of the economic-statistical design of profile monitoring under the double sampling scheme
Guo et al. Improved reliability using accelerated degradation & design of experiments
Chou et al. Minimum-loss design of X-Bar control charts for Non-normally correlated data
Umar et al. Application of Multivariate Non-parametric Change-point Control Charts to Children with Bronchial Pneumonia
Mawonik et al. Univariate statistical process control of super saver beans: a case of RMV supermarket, zimbabwe.