acceptance sampling


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Acceptance Sampling

A form of quality control for mass-produced products in which a certain number of the products are tested at random. Acceptance sampling is most useful when it is impossible to test all products. For example, if an armory tested all the bullets it produced, there would be none left. For that reason, acceptance sampling is used to determine whether the majority of the bullets are of sufficient quality to sell.

acceptance sampling

a process in which a sample is taken from a batch of raw materials, work in progress or finished goods to be inspected and tested so as to ensure a predetermined QUALITY standard is consistently achieved. The whole batch will then be accepted or rejected according to whether or not the sample is of an ACCEPTABLE QUALITY LEVEL. This saves the business from having to carry out 100% INSPECTION and testing of the goods involved. For example, a manufacturer taking delivery of 100 identical components from a supplier might inspect and test 10 components (10%) and specify that if more than 2 components (20% of the sample) fail to meet the required specification, then the whole batch will be rejected. In order to specify the performance of a particular sampling plan or evaluate alternative sampling plans, managers can develop OPERATING CHARACTERISTIC CURVES which show the relationship between percentage defects in batches of raw materials or components and the probability of their acceptance.

With JUST-IN-TIME production systems, a company or department may reduce its own acceptance sampling and place the onus of providing fault-free raw materials or components on its supplier. See TOTAL QUALITY MANAGEMENT, QUALITY CONTROL.

References in periodicals archive ?
In this study, we propose four new acceptance sampling plans based on the yield index for a first-order autoregressive process.
From these comparisons, we may conclude that all of the proposed sampling plans are superior to the variable single acceptance sampling plan in terms of power.
In the concept of acceptance sampling, three major areas of sampling are available, one is attributing sampling, the second one is variables sampling and the last one is mixed sampling.
Sulong, "Assessing acceptance sampling application in electrical and electronic product," Journal of Achievements in Materials and Manufacturing Engineering, vol.
Acceptance sampling requires selection of the sampling method (for instance random, stratified, double, multiple or sequential techniques), sample size (the number of items from the lot) and the acceptable quality level the maximum number of defective items per 100 units that can be considered as satisfactory).
Recently, acceptance sampling plans based on process capability index have attracted many researchers.
In describing the inspection policy selection process for large lots, Figure 1 combines Deming's kp rule and the acceptance sampling plan outlined by Duncan[2] for the selection of a large lot inspection policy.
'Designing and improving acceptance sampling plans' (CCFRA Review No.27) uses colour illustrations to introduce the basic concepts of acceptance sampling, and reinforces them through an interactive spreadsheet which allows the user to explore, on a PC, the effects of changing the acceptance criteria and sampling regime.
Therefore, in designing acceptance sampling plans for product sold under warranty, it is worthwhile to consider the costs associated with the warranty policies.
The editors use examples to help readers understand and learn to apply the concepts in each of the 39 chapters, focusing on management and leadership, the quality system, including standards, audits and the cost of quality, product and process design, including the review process and documentation, product and process control, including acceptance sampling and metrology, continuous improvement, including techniques and planning tools, and quantitative methods and tools, including statistical process control.
Ten chapters cover proactive management strategies for dealing with foreign materials; physical separation techniques for controlling contaminants; applications of magnetic separation to prevent contamination of finished food products; principles and strategies for using metal detectors to isolate metallic foreign materials; machine vision and its application, x-ray examination of foods for foreign materials; proper initial validation, ongoing verification, and change control for separation and detection equipment; proper use of acceptance sampling and statistical process control to augment foreign material control programs; and management and communication of risk in situations of crisis.
They include: Measuring the Process, Statistical Tolerance Limits, Control Charts, Special-Purpose Control Charts, Product Reliability, Comparing Two Populations, Analysis of Variance, Attribute Data, Regression Analysis and Curve Fitting, Analyzing Variance Components, Experimental Design, Gage R&R Studies, Pareto Analysis, Cause-and-Effect Diagrams and Acceptance Samplings and more.