Is it a big problem if part 1 based on the AQL tables is used in circumstances where part 2 is actually applicable? Not really. Sampling plans in ISO may also be used for the inspection of lots in isolation, but in this case, the user is strongly advised to consult the operating characteristic curves to find a plan that will yield the desired protection.
When to use part 3, and check only random batches rather than all batches? For very good suppliers only:. ISO provides skip-lot procedures for use when the process quality is markedly superior to the AQL for a defined long period of delivery or observation. ISO provides a procedure that may be used to verify a quality level that has been declared for some entity.
The procedures in ISO have been developed in response to the need for sampling procedures suitable for formal, systematic inspections such as reviews or audits.
The chapters in which statistical techniques are required to be applied in accordance with ISO are as follows:. Chapter 9: Performance evaluation, in numeral 9. Monitoring, measurement, analysis and evaluation. Definitively, the use and application of statistical techniques is essential for organizations, because decision-making must be based on objective data.
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Selected illustrations of gauge repeatability and reproducibility studies. Quantitative methods in process improvement — Six Sigma — Part 2: Tools and techniques. Selected illustrations of response surface method — Central composite design. Guide for the selection of statistical methods in standardization and specification.
Guidelines for the selection of statistical methods in standardization and specification. Acceptance sampling procedures based on the allocation of priorities principle APP — Part 2: Coordinated single sampling plans for acceptance sampling by attributes. Guidance on the development and use of ISO statistical publications supported by software.
Statistical methods for use in proficiency testing by interlaboratory comparisons. Statistical methods for use in proficiency testing by interlaboratory comparison. Three statistical approaches for the assessment and interpretation of measurement uncertainty.
Acceptance sampling procedures by attributes — Specified quality levels in nonconforming items per million.
Statistical interpretation of data — Part 2: Tests and confidence intervals relating to proportions. Statistical interpretation of data — Part 3: Tests for departure from the normal distribution. Statistical interpretation of data — Part 4: Detection and treatment of outliers. Statistical interpretation of data — Part 5: Techniques of estimation and tests relating to means and variances.
Statistical interpretation of data — Part 6: Determination of statistical tolerance intervals. Statistical interpretation of data — Part 7: Median — Estimation and confidence intervals. Statistical interpretation of data — Part 8: Determination of prediction intervals. Applications of statistical and related methods to new technology and product development process — Robust parameter design RPD. Application of statistical and related methods to new technology and product development process — Robust tolerance design RTD.
Application of statistical and related methods to new technology and product development process — Part 1: General principles and perspectives of Quality Function Deployment QFD. Application of statistical and related methods to new technology and product development process — Part 1: General principles and perspectives of quality function deployment QFD.
Applications of statistical and related methods to new technology and product development process — Part 2: Non-quantitative approaches for the acquisition of voice of customer and voice of stakeholder.
Applications of statistical and related methods to new technology and product development process — Part 3: Quantitative approaches for the acquisition of voice of customer and voice of stakeholder. Applications of statistical and related methods to new technology and product development process — Part 4: Analysis of non-quantitative and quantitative Voice of Customer and Voice of Stakeholder.
Applications of statistical and related methods to new technology and product development process — Part 5: Solution strategy.
Applications of statistical and related methods to new technology and product development process — Part 6: Guidance for QFD-related approaches to optimization. Applications of statistical and related methods to new technology and product development process — Part 8: Guidelines for commercialization and life cycle.
Statistical methods for implementation of Six Sigma — Selected illustrations of contingency table analysis.
Statistical methods — Six Sigma — Basic criteria underlying benchmarking for Six Sigma in organisations. Quantitative methods in process improvement — Six Sigma — Competencies for key personnel and their organizations in relation to Six Sigma and Lean implementation. Acceptance sampling procedures by attributes — Accept-zero sampling system based on credit principle for controlling outgoing quality. Guidance on the application of statistical methods to quality and to industrial standardization.
Statistical methods for implementation of Six Sigma — Selected illustrations of distribution identification studies. Combined accept-zero sampling systems and process control procedures for product acceptance. Statistical methods — Process performance and capability statistics for measured quality characteristics. Statistical methods in process management — Capability and performance — Part 1: General principles and concepts.
Statistical methods in process management — Capability and performance — Part 2: Process capability and performance of time-dependent process models. Statistical methods in process management — Capability and performance — Part 3: Machine performance studies for measured data on discrete parts. Statistical methods in process management — Capability and performance — Part 4: Process capability estimates and performance measures.
Statistical methods in process management — Capability and performance — Part 5: Process capability estimates and performance for attributive characteristics. Statistical methods in process management — Capability and performance — Part 6: Process capability statistics for characteristics following a multivariate normal distribution. Statistical methods in process management — Capability and performance — Part 7: Capability of measurement processes.
Statistical methods in process management — Capability and performance — Part 8: Machine performance of a multi-state production process.
Statistical methods in process management — Capability and performance — Part 9: Process capability statistics for characteristics defined by geometrical specifications. Statistical methods for implementation of Six Sigma — Selected illustration of analysis of variance. Accuracy trueness and precision of measurement methods and results — Practical guidance for the use of ISO in designing, implementing and statistically analysing interlaboratory repeatability and reproducibility results.
Statistical analysis for evaluating the precision of binary measurement methods and their results. Reproducibility of the LOD of binary methods in collaborative and in-house validation studies.
Sampling procedures for inspection by attributes — Introduction to the ISO series of standards for sampling for inspection by attributes. Double sampling plans by attributes with minimal sample sizes, indexed by producer's risk quality PRQ and consumer's risk quality CRQ.
Sampling procedures for inspection by attributes — Two-stage sampling plans for auditing and for inspection under prior information. Selected illustrations of full factorial experiments with four factors. Selected illustrations of full factorial experiments with four factors — Technical Corrigendum 1. Store Standards catalogue ICS 03 ISO Statistical interpretation of test results — Estimation of the mean — Confidence interval.
ISO Statistical interpretation of data — Techniques of estimation and tests relating to means and variances. ISO Sampling procedures for inspection by attributes — Part 1: Sampling plans indexed by acceptable quality level AQL for lot-by-lot inspection. ISO Sampling procedures for inspection by attributes — Part 1: Sampling schemes indexed by acceptance quality limit AQL for lot-by-lot inspection.
ISO Sampling procedures for inspection by attributes — Part 2: Sampling plans indexed by limiting quality LQ for isolated lot inspection. ISO Sampling procedures for inspection by attributes — Part 3: Skip-lot sampling procedures. ISO Sampling procedures for inspection by attributes — Part 4: Procedures for assessment of stated quality levels. ISO Sampling procedures for inspection by attributes — Part 4: Procedures for assessment of declared quality levels.
ISO Sampling procedures for inspection by attributes — Part 5: System of sequential sampling plans indexed by acceptance quality limit AQL for lot-by-lot inspection. ISO Sampling procedures for inspection by attributes — Part Introduction to the ISO series of standards for sampling for inspection by attributes.
ISO Sampling procedures and tables for inspection by attributes. ISO Statistical interpretation of data — Determination of a statistical tolerance interval.
ISO Statistical interpretation of data — Comparison of two means in the case of paired observations. ISO Statistical interpretation of data — Power of tests relating to means and variances.
ISO Statistics — Vocabulary and symbols — Part 1: General statistical terms and terms used in probability.
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