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1. Control charts
by Murdoch, J
1979, viii, 150 pages : illustrations.
Production control - Graphic methods | Statistical analysis | Control charts
Book
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2. Full Text Evaluation of Adjustment Strategies for Adaptive Shewhart Quality Control Charts
by Brun, Alessandro, author
SAE technical paper series, Volume 2003-01-2836.
The present paper valuates the statistical and economic performance of Adaptive Shewhart quality control chart strategies which allow at least one of the... 
Statistical analysis | Quality control
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3. Full Text Monitoring and Improving Acoustical Measurement Quality Using Control Charts
by Samardzic, Nikolina, author
SAE technical paper series, Volume 2009-01-2162.
Sound transmission loss and sound absorption measurements are conducted to characterize acoustical performance of noise control materials and components used... 
Electronic control systems | Performance tests | Measurements | Noise | Test procedures | Mathematical models
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4. Full Text Percentile‐based control chart design with an application to Shewhart X̅ and S2 control charts
by Faraz, Alireza and Saniga, Erwin and Montgomery, Douglas
Quality and Reliability Engineering International, ISSN 0748-8017, 02/2019, Volume 35, Issue 1, pp. 116 - 126
We present a method to design control charts such that in‐control and out‐of‐control run lengths are guaranteed with prespecified probabilities. We call this... 
control chart | run length | average run length | statistical design | statistical process control | Charts | Statistical analysis | Control charts
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5. Full Text Quality, QFD and Control Charts: A Managerial Assessment During the Product Development and Production Process
by Galetto, F., author
SAE technical paper series, Volume 2001-01-3365.
Quality Engineering looks at designing Quality into every product and all the processes. Design is surely the most important phase for Quality both of products... 
Productivity | Quality control | Quality function deployment | Product development
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6. Full Text Linking EWMA p Charts and the Risk Adjustment Control Charts
by Sparks, Ross
Quality and Reliability Engineering International, ISSN 0748-8017, 04/2017, Volume 33, Issue 3, pp. 617 - 636
This paper develops an adaptive exponentially weighted moving average (EWMA) chart that can be used as either a p chart for monitoring significant departures... 
control charts | performance evaluation | trials | statistical process control | TESTS | DESIGN | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | ENGINEERING, MULTIDISCIPLINARY | ENGINEERING, INDUSTRIAL | Design engineering | Adjustment | Control charts | Charts | Risk management | Design analysis | Failure | Monitoring
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7. Full Text Multiobjective Genetic Algorithm Approach to the Economic Statistical Design of Control Charts with an Application to X¯bar and S2 Charts
by Faraz, Alireza and Saniga, Erwin
Quality and Reliability Engineering International, ISSN 0748-8017, 04/2013, Volume 29, Issue 3, pp. 407 - 415
Control charts are the primary tools of statistical process control. These charts may be designed by using a simple rule suggested by Shewhart, a statistical... 
multiobjective optimization | genetic algorithm | control charts | economic statistical design
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8. Full Text The Modular Incorporation of Digital Taxi Charts into the Air Traffic Management System
by Terpstra, James E., author
SAE technical paper series, Volume 922065.
Traffic management | Radar | Air traffic control | Public transportation systems
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9. Full Text Control charts for paired differences: d¯ and Sd charts
by Premarathna, L.P. Nadeeka D and Godfrey, A. Jonathan R and Govindaraju, Kondaswamy
Quality and Reliability Engineering International, ISSN 0748-8017, 12/2017, Volume 33, Issue 8, pp. 1843 - 1854
Control chart procedures for monitoring paired variables are sparse in the literature. After considering the average run length properties of the d¯ chart,... 
difference control charts | d¯ chart | average run length | Sd chart | stock returns | chart
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10. Control charts in factory management
by Rice, William B
1947, Wiley mathematical statistics series, 149
Factory management | Sampling (Statistics)
Book
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11. Full Text Characterizing extreme values of body mass index-for-age by using the 2000 Centers for Disease Control and Prevention growth charts
by Flegal, Katherine M and Wei, Rong and Ogden, Cynthia L and Freedman, David S and Johnson, Clifford L and Curtin, Lester R
American Journal of Clinical Nutrition, ISSN 0002-9165, 11/2009, Volume 90, Issue 5, pp. 1314 - 1320
Background: The 2000 Centers for Disease Control and Prevention (CDC) growth charts included lambda-mu-sigma (LMS) parameters intended to calculate smoothed... 
ADOLESCENT OVERWEIGHT | CENTILE CURVES | OBESITY | NUTRITION & DIETETICS | RECOMMENDATIONS | STANDARDS | LMS METHOD | PREVALENCE | US CHILDREN | WEIGHT | DETECTION LIMITS | Body Mass Index | United States - epidemiology | Nutrition Surveys | Humans | Child, Preschool | Male | Centers for Disease Control and Prevention (U.S.) | Growth - physiology | Young Adult | Thinness - epidemiology | Overweight - epidemiology | Adolescent | Female | Child | Physiological aspects | Body mass index | Research
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12. Full Text Dual multivariate CUSUM mean charts
by Haq, Abdul and Munir, Tahir and Khoo, Michael B.C
Computers & Industrial Engineering, ISSN 0360-8352, 11/2019, Volume 137, p. 106028
The multivariate CUSUM (MCUSUM) chart can be optimally designed to detect a specific shift in the process mean. In practice, the shift size is rarely known but... 
MCUSUM | Statistical process control | Dual control chart | Average run length | Process mean | Monte Carlo simulation
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13. Advanced topics in statistical process control
: the power of Shewhart's charts
by Wheeler, Donald J
1995, ISBN 9780945320456, xiv, 470
Statistical methods | Process control | Shewhart, Walter A. 1891-1967 | Quality control
Book
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14. A Compendium of forms, tables, charts for use in monitoring and evaluation
Joint Commission on Accreditation of Healthcare Organizations
1991, ISBN 086688257X, xiv, 285
standards | Evaluation Studies | United States | Quality Assurance, Health Care
Book
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15. Full Text A side-sensitive synthetic chart combined with an X chart
by Machado, Marcela A.G and Costa, Antonio F.B
International Journal of Production Research, ISSN 0020-7543, 06/2014, Volume 52, Issue 11, pp. 3404 - 3416
The synthetic chart combined with an chart (Synthetic- chart) signals when a sample point falls beyond the control limits or when a second point, not far from... 
control charts | synthetic chart | process control | side-sensitive chart | DESIGN | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MONITORING PROCESS DISPERSION | PERFORMANCE | SHIFTS | ENGINEERING, MANUFACTURING | ENGINEERING, INDUSTRIAL | Control limits | Warning | Images
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16. Full Text Fuzzy X ¯ and R control charts: Fuzzy dominance approach
by Shu, Ming-Hung and Wu, Hsien-Chung
Computers & Industrial Engineering, ISSN 0360-8352, 2011, Volume 61, Issue 3, pp. 676 - 685
► The fuzzy control limits are constructed from the resolution identity. ► A fuzzy dominance is used to compare the fuzzy control limits. ► Membership degrees... 
Fuzzy dominance | Fuzzy number | Fuzzy R control chart | Resolution identity | Fuzzy [formula omitted] control chart | Fuzzy X control chart | Fuzzy logic | Statistical process control | Samples | Control charts | Dominance | Fuzzy set theory | Fuzzy | Monitoring
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17. Full Text Multivariate statistical process control charts: an overview
by Bersimis, S and Psarakis, S and Panaretos, J
Quality and Reliability Engineering International, ISSN 0748-8017, 08/2007, Volume 23, Issue 5, pp. 517 - 543
In this paper we discuss the basic procedures for the implementation of multivariate statistical process control via control charting. Furthermore, we review... 
CUSUM | Hotelling's T2 | quality control | process control | EWMA | PLS | multivariate statistical process control | PCA | Hotelling's T | Process control | Quality control | Multivariate statistical process control | PRINCIPAL-COMPONENT ANALYSIS | EWMA CONTROL CHART | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | ENGINEERING, MULTIDISCIPLINARY | MEWMA CONTROL CHARTS | SUM CONTROL CHARTS | AVERAGE CONTROL CHART | MONITORING BATCH PROCESSES | PARTIAL LEAST-SQUARES | REGRESSION-ADJUSTED VARIABLES | T-2 CONTROL CHART | ENGINEERING, INDUSTRIAL | Hotelling's T-2 | ADAPTIVE SAMPLE SIZES
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18. Tracking nuclear proliferation
: a guide in maps and charts, 1998
by Jones, Rodney W and McDonough, Mark G and Spector, Leonard S
1998, ISBN 0870031139, viii, 327
Nuclear weapons | Maps | Nuclear weapons plants
Book
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19. Full Text Exponential CUSUM Charts with Estimated Control Limits
by Zhang, Min and Megahed, Fadel M and Woodall, William H
Quality and Reliability Engineering International, ISSN 0748-8017, 03/2014, Volume 30, Issue 2, pp. 275 - 286
Exponential CUSUM charts are used in monitoring the occurrence rate of rare events because the interarrival times of events for homogeneous Poisson processes... 
statistical process control (SPC) | phase I control charting | time between events (TBE) | high‐yield processes | safety monitoring | high-yield processes | EVENTS | PARAMETER-ESTIMATION | PERFORMANCE | TIME | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | ENGINEERING, MULTIDISCIPLINARY | AVERAGE RUN LENGTHS | ENGINEERING, INDUSTRIAL | SCHEMES | CUSUM charts | Error analysis | Control limits | Deterioration | Error detection | Random variables | Monitoring | Construction industry
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