Showing papers in "Journal of Quality Technology in 1981"
TL;DR: This is the first part of a two-part article presenting a statistical approach to the sensitivity analysis of computer models.
Abstract: This is the first part of a two-part article presenting a statistical approach to the sensitivity analysis of computer models. Part I defines the objectives of sensitivity analysis and presents a computer model that is used for purposes for illustration..
538 citations
TL;DR: In this article, the statistical analysis of failure time data is presented, where failure time is defined as the number of failures that occurred in a failure event, and failure times are analyzed.
Abstract: (1981). The Statistical Analysis of Failure Time Data. Journal of Quality Technology: Vol. 13, No. 4, pp. 273-274.
350 citations
TL;DR: This is the second part of a two-part paper presenting a statistical approach to the sensitivity analysis of computer models.
Abstract: This is the second part of a two-part paper presenting a statistical approach to the sensitivity analysis of computer models. In this part consideration is given to response surface construction techniques including identification of possible overfit an..
228 citations
209 citations
TL;DR: In this article, the authors present a technique for employing the same CUSUM procedure for controlling the mean variability of a process in many industrial applications, such as control the process variability as well.
Abstract: Standard CUSUM procedures are available for controlling the mean of a process. However, in many industrial applications it is important to control the process variability as well. This article presents a technique for employing the same CUSUM procedure ..
145 citations
TL;DR: In this article, principal components and factor analysis are two techniques that are finding increasing application among quality engineers who are concerned with processes with more than one response variable, and the discussion is presented.
Abstract: Principal components and factor analysis are two techniques that are finding increasing application among quality engineers who are concerned with processes with more than one response variable. In this second part of a three-part series, the discussion..
79 citations
TL;DR: In this article, double variables sampling plans and matched single variables plans having two fixed points on the operating characteristic curve are presented, which provide minimum average sampling number when lot quality is at the producer's quality level.
Abstract: Double variables sampling plans and matched single variables plans having two fixed points on the operating characteristic curve are presented. These plans provide minimum average sampling number when lot quality is at the producer's quality level...
50 citations
TL;DR: Two production models are presented for maintaining current control of an industrial process subject to a multiplicity of assignable causes.
Abstract: Two production models are presented for maintaining current control of an industrial process subject to a multiplicity of assignable causes. The formulated cost function includes the cost of inspection, charting, downtime, search for assignable cause, r..
43 citations
41 citations
TL;DR: In this article, principal components and factor analysis are two techniques that are finding increasing application among quality engineers who are concerned with processes with more than one response variable in this third and concluding part of a three-part series.
Abstract: Principal components and factor analysis are two techniques that are finding increasing application among quality engineers who are concerned with processes with more than one response variable In this third and concluding part of a three-part series,
39 citations
TL;DR: In this paper, the combination of probability is used to obtain tolerance intervals for Poisson or binomial variables in quality control applications, and the construction of the desired interval is shown.
Abstract: Quality control applications sometimes require one to obtain tolerance intervals for Poisson or binomial variables. Situations of this type are described and the construction of the desired interval is shown. This involves the combination of probability..
TL;DR: The classical nested design called for balanced replication at each level of the hierarchy, thus distributing the degrees of freedom of variance components as mentioned in this paper, is the one used in the present paper.
Abstract: Often the experimental designs used for accumulating data to estimate variance components are nested or hierarchical The classical nested design calls for balanced replication at each level of the hierarchy, thus distributing the degrees of freedom une
TL;DR: Nine different sample / rest-of-lot disposition policies for single and double sampling, along with explicitly developed AOQ and ATI expressions for each - both with and without inspection error - are considered.
Abstract: Nine different sample / rest-of-lot disposition policies for single and double sampling, along with explicitly developed AOQ and ATI expressions for each - both with and without inspection error - are considered. The nine dispositions include all combin..
TL;DR: In this article, a modified skip-lot sampling plan is presented under which at least one unit is always sampled from a lot and the formulas for the acceptance probability and average sample number using this plan are given.
Abstract: A modified skip-lot sampling plan is presented under which at least one unit is always sampled from a lot. The formulas for the acceptance probability and average sample number using this plan are ...
TL;DR: A set of acceptance sampling plans based on cumulative sum (CUSUM) procedures is described in this article, for inspection by attributes, indexed by AQL's and apply to continuous production grouped in lots or batches.
Abstract: A set of USDA acceptance sampling plans based on cumulative sum (CUSUM) procedures is described. The plans, for inspection by attributes, are indexed by AQL's and apply to continuous production grouped in lots or batches. They are simple to apply and pr..
TL;DR: Nature, origin, and treatment of systematic errors in measurements and calibrations are discussed and it is shown how systematic errors can vary, how random errors under oneSet of conditions will become systematic errors under another set of conditions.
Abstract: Nature, origin, and treatment of systematic errors in measurements and calibrations are discussed. It is shown how systematic errors can vary, how random errors under one set of conditions will become systematic errors under another set of conditions an..
TL;DR: Narrow limit gauging combines the ease of attributes inspection with the power of variables sampling to reduce sample size as mentioned in this paper. But this is not a generalization of our approach, as we consider in this paper.
Abstract: Narrow limit gauging combines the ease of attributes inspection with the power of variables sampling to reduce sample size. Tables of narrow limit plans that have two fixed points on the operating characteristic curve and are optimal in terms of minimum..
TL;DR: Tables for single sample attributes sampling plans indexed by AQL and AOQL are presented in this paper for both infinite and finite lot sizes with matching OC curves, assuming that inspection is for a stream of lots.
Abstract: Tables for single sample attributes sampling plans indexed by AQL and AOQL are presented. The tables are developed for both infinite and finite lot sizes with matching OC curves. It is assumed that inspection is for a stream of lots. Supplementary infor..
TL;DR: In this article, the distribution of defective in outgoing (accepted) lots when the process average for the incoming (submitted) lots follows a beta distribution is examined, and it is shown how a small set of curves can be used to describe a large number of..
Abstract: The distribution of the proportion defective in outgoing (accepted) lots when the process average for the incoming (submitted) lots follows a beta distribution is examined. It is shown how a small set of curves can be used to describe a large number of ..
TL;DR: In this article, an acceptance control charting scheme is investigated for the case in which observations consist of the number of nonconformities seen when a process is observed for a certain fixed length of time.
Abstract: An acceptance control charting scheme is investigated for the case in which observations consist of the number of nonconformities seen when a process is observed for a certain fixed length of time. The counts are assumed to have a Poisson distribution. ..
TL;DR: In this article, the selection of the parameters f and i for continuous sampling plans of the CSP-1 type is developed for consumer protection based on the LQL with 1 0 consumer risk.
Abstract: Selection of the parameters f and i for continuous sampling plans of the CSP-1 type are developed for consumer protection based on the LQL with 010 consumer risk The relationship between the parameters and LQL is presented by equations, nomograph and
TL;DR: In this article, an alternative control chart variable, obtained by a transformation of the fraction defective, has been proposed to avoid some of the limitations of the conventional p-chart variable control limits or the use of approximations if the sample size varies.
Abstract: The conventional p chart requires use of variable control limits or the use of approximations if the sample size varies. An alternative control chart variable, obtained by a transformation of the fraction defective, has been proposed to avoid some of th..
TL;DR: For a double sampling plan for attributes, with 100 percent inspection of rejected lots, with given rejection numbers, incoming quality level, lot size and probability Pa of acceptance of a lot of quality p, the minimum value of the average total inspec is given.
Abstract: For a double sampling plan for attributes, with 100 percent inspection of rejected lots, with given rejection numbers, incoming quality level, lot size and probability Pa of acceptance of a lot of quality p, the minimum value of the average total inspec..
TL;DR: In this paper, a procedure for pooling data from two or more independent normal populations is presented, which uses the analysis of means, and Graphical analysis of experimental data using the analysisof means is employed to provide convenient translati..
Abstract: A procedure for pooling data from two or more independent normal populations is presented. This pooling procedure uses the analysis of means. Graphical analysis of experimental data using the analysis of means is employed to provide convenient translati..
TL;DR: In this paper, a program is presented to control the weighing of respirable coal mine dust samples and to provide information on a continuing basis on the quality of the weighing operation, in addition to the description of such monitoring procedures, measurements are..
Abstract: A program is presented to control the weighing of respirable coal mine dust samples and to provide information on a continuing basis on the quality of the weighing operation. In addition to the description of such monitoring procedures, measurements are..
TL;DR: In this article, one-way analysis of means is performed using the range of the treatment subgroups to estimate the error standard deviation, when the subgroup sizes are equal, calculation of the decision limits can be simplified to multiplication of th..
Abstract: In many instances one-way analysis of means is performed using the range of the treatment subgroups to estimate the error standard deviation. When the subgroup sizes are equal, calculation of the decision limits can be simplified to multiplication of th..
TL;DR: In this article, two charts are presented for instant estimation of the parameters of a doubly or singly truncated normal distribution, which can be readily applied by the general quality control practitioner.
Abstract: Two charts are presented for instant estimation of the parameters of a doubly or singly truncated normal distribution. They can be readily applied by the general quality control practitioner...
TL;DR: In this paper, the acceptance number c is taken as (n - 1)/2, where n is the sample size, and c is the standard deviation of the sample distribution.
Abstract: To simplify the choice of a single gauge sampling plan used to control a process in which the variation follows a normal distribution with known standard deviation, the acceptance number c is taken as (n - 1)/2, where n is the sample size. This relation..