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Showing 1 to 17 of 17 for “"Sampling plans"”.
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The economic design of multivariate acceptance sampling plans
… expected cost model for multivariate acceptance sampling is developed. The components of cost included in the model are presented in two phases: the cost of making the quality control decision (sampling inspection) and the cost of implementing the quality control decision (accept the inspection …
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Egg mass sampling plans for gypsy moth management programs
… this research was to develop gypsy moth egg mass sampling plans that reflect the influence of habitat, changes in egg mass distribution, and provide populations densities or density categories for making control decisions. Sequential egg mass sampling plans for gypsy moth management programs in …
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Efficient Sampling Plans for Control Charts When Monitoring an Autocorrelated Process
… autocorrelation on the performances of various sampling plans for control charts in detecting special causes that may produce sustained or transient shifts in the process mean and/or variance. Observations from the process are modeled as a first-order autoregressive process plus a random error. …
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A comparison of sequential probability ratio and generalized attributes acceptance sampling plans
… made between Wald's Sequential Probability Ratio sampling plan, several generalized attributes acceptance sampling plans, and a curtailed single sampling plan. The evaluation of the plans is based upon a cost function based upon a combination of the Average Sampling Number (ASN) and the variance …
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Study on New Sampling Plans and Optimal Integration with Proactive Maintenance in Production Systems
<p>Sampling plans are statistical process control (SPC) tools used mainly in production processes. They are employed to control processes by monitoring the quality of produced products and alerting for necessary adjustments or maintenance. Sampling is used when an undesirable change (shift) in a …
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Decision Making Tools for Optimizing Environmental Sampling Plans for Listeria in Poultry Processing Plants
… processing plants and enhance food safety. Sampling criteria that is based on product risk levels and process control in ready-to-eat poultry processing facilities was developed to allow users to design and conduct appropriate sampling plans to target Listeria spp. After developing the …
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An investigation of the validity of auditing procedures used in mean-per-unit sampling plans
… of existing auditing procedures used in MPU sampling plans. The following question was specifically addressed: Are alpha and beta risk levels effectively controlled under conditions of non-normality when using the MPU estimator in conjunction with the sample size formula? One objective of the …
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Optimizing sample plans to improve microbiological safety in a food processing plant
… and control their spread. An environmental sampling and monitoring program is an important tool that food manufacturers use to determine the effectiveness of their sanitation practices and pathogen control efforts. Guidance for initiating an environmental sampling plan and evaluating the …
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Evaluation of water distribution system monitoring using stochastic dynamic modeling
… velocities and bioflim cell detachment. Seven sampling plans representing regulatory requirements and industry practice were applied during the simulation to evaluate their ability to detect the contamination under a presence/absence criterion. The simulations were able to identify …
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Nature's Sensors: Using Plants as an Alternative Monitoring Approach for Subsurface Contamination
Finally, methods to incorporate plant sampling with traditional monitoring techniques were explored at the Argonne phytoremediation site. The impacts on uncertainty estimation and optimal sampling schemes at the site from the inclusion of plant sampling were evaluated. Four methods were compared …
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Statistical quality control techniques using multilevel discrete product quality measures
… the widest acceptance in industry are acceptance sampling and statistical process control. In the majority of such techniques, a single characteristic of an item is used to describe its quality. In such cases, one of two basic types of product quality measures is typically used: attributes product …
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A comparison of one-sided variables acceptance sampling methods when measurements are subject to error
<p>One-sided variables acceptance sampling plans such as the one presented in Schilling1 assume that a quality characteristic of interest, X, has a normal distribution and that measurements are exact. However, when measurements contain error and standard plans are used, the probability of accepting …
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Machine Learning from Computer Simulations with Applications in Rail Vehicle Dynamics and System Identification
… with a large number of rail vehicles). Since the sampling plan greatly influences the overall accuracy and efficiency of the stochastic predictions, various sampling plans are investigated, and a space-filling Latin Hypercube sampling plan based on the traveling salesman problem (TPS) is suggested …
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Statistically and economically based attribute acceptance sampling models with inspection errors
… procedures involved in the evaluation of sampling schemes, it ignores considerable evidence that most inspection operations are error prone. This research investigates the statistical and economical considerations which may be involved in an inspection process subject to such inaccuracies. …
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Process Monitoring with Multivariate Data:Varying Sample Sizes and Linear Profiles
… is to take samples of fixed size at regular sampling intervals for each variable. In the first part of this dissertation, MEWMA control charts based on sequential sampling schemes with two possible stages are investigated. When sequential sampling with two possible stages is used, …
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Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures
… based on predetermined statistical hypothesis sampling plans, which are both analytically and experimentally compared and assessed. The method's performance is determined a priori via the use of the analytical expressions of the Operating Characteristic (OC) and Average Sample Number (ASN) …