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A Unified Approach for Modeling and Designing Attribute Sampling Plans for Monitoring Dependent Production Processes
15 references·1 citing·31 second hop
A Unified Approach for Modeling and Designing Attribute Sampling Plans for Monitoring Dependent Production Processes (2005)A Unified Approach for Modeling and Desig…Introduction to Statistical Quality Control (1997)Introduction to Statistical Q…Monitoring Serially-Dependent Processes with Attribute Data (1996)Monitoring Serially-Dependent…The Problem of Misplaced Control Limits (1995)The Problem of Misplaced Cont…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…A Sequential Inspection Plan for Markov Dependent Production Processes (1990)A Sequential Inspection Plan …Time-Series Modeling for Statistical Process Control (1988)Time-Series Modeling for Stat…Continuous sampling plans for markov-dependent production processes (1987)Continuous sampling plans for…A Program for Selecting Efficient Binomial Double Sampling Plans (1986)A Program for Selecting Effic…Acceptance Sampling in Quality Control. (1984)Acceptance Sampling in Qualit…Acceptance Sampling in Quality Control. (1983)Acceptance Sampling in Qualit…Acceptance Sampling in Quality Control (1983)Acceptance Sampling in Qualit…Mathematical methods of statistical quality control (1974)Mathematical methods of stati…A Procedure for Finding Double Sampling Plans for Attributes (1970)A Procedure for Finding Doubl…Quality Control and Industrial Statistics. (1967)Quality Control and Industria…Quality Control and Industrial Statistics. (1960)Quality Control and Industria…Construction of minimum cost reliability acceptance sampling plans for multistage process (2021)Construction of minimum cost …Economic Control of Quality of Manufactured Product. (1932)Out of the Crisis (1982)Statistical quality control and improvement (1996)On‐line Identification and Quantification of Mean Shifts in Bivariate Processes using a Neural Network‐based Approach (2006)Recent developments of control charts, identification of big data sources and future trends of current research (2019)Book Review: Time Series Analysis: Forecasting and Control (1977)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)Statistical process control procedures for correlated observations (1991)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Introduction to Statistical Quality Control (1992)Quality-Control Handbook. (1952)Quality Control and Industrial Statistics. (1975)Statistical Theory of Sampling Inspection by Attributes. (1984)THE EFFECT OF INSPECTOR ERRORS ON THE TRUE FRACTION NON-CONFORMING: AN INDUSTRIAL EXPERIMENT (1995)Determination of an efficient variables sampling system based on the Taguchi process capability index (2018)Statistical Quality Control (1990)An effective decision making method for product acceptance (2005)Repetitive group sampling procedure for variables inspection (2006)Statistical process control as a tool for research and healthcare improvement (2003)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)CONTINUOUS INSPECTION SCHEMES (1954)The Exponentially Weighted Moving Average (1986)Techniques for improving response rates in OM survey research (2002)Design and Evaluation of a Repetitive Group Sampling Plan (1965)Designs of One- and Two-Sided Exponential EWMA Charts (1998)A Comparison of Multivariate Control Charts for Individual Observations (1996)Introduction to Statistical Quality Control (2001)Introduction to Statistical Quality Control (2005)Two New Polish Geological‐Environmental Reference Materials: Apatite Concentrate (CTA‐AC‐1) and Fine Fly Ash (CTA‐FFA‐1) (1991)New Polish certified reference materials for multielement inorganic trace analysis (1993)Virginia Tobacco Leaves (CTA-VTL-2) – new Polish CRM for inorganic trace analysis including microanalysis (1998)
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  • 2021Construction of minimum cost reliability acceptance sampling plans for multistage process

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5 cited