Acceptance sampling

Acceptance sampling uses statistical sampling to determine whether to accept or reject a production lot of material.

Acceptance sampling is used to determine if a production lot of material meets the governing specifications.

Sampling plans, such as MIL-STD-105, were developed by Harold F. Dodge and others and became frequently used as standards.

Harold Dodge is universally known for his work in originating acceptance sampling plans for putting inspection operations on a scientific basis in terms of controllable risks.

It has been a common quality control technique used in industry.

Sampling plans, such as MIL-STD-105, were developed by Harold F. Dodge and others and became frequently used as standards.

Sampling provides one rational means of verification that a production lot conforms with the requirements of technical specifications.

A variables sampling plan is an acceptance sampling technique.

Plans have known risks: an acceptable quality limit (AQL) and a rejectable quality level, such as lot tolerance percent defective (LTDP), are part of the operating characteristic curve of the sampling plan.

Sampling plans, such as MIL-STD-105, were developed by Harold F. Dodge and others and became frequently used as standards.

More recently, quality assurance broadened the scope beyond final inspection to include all aspects of manufacturing.

Broader quality management systems include methodologies such as statistical process control, HACCP, six sigma, and ISO 9000.

Broader quality management systems include methodologies such as statistical process control, HACCP, six sigma, and ISO 9000.

Broader quality management systems include methodologies such as statistical process control, HACCP, six sigma, and ISO 9000.

Broader quality management systems include methodologies such as statistical process control, HACCP, six sigma, and ISO 9000.

Broader quality management systems include methodologies such as statistical process control, HACCP, six sigma, and ISO 9000.

Sampling provides one rational means of verification that a production lot conforms with the requirements of technical specifications.

The sample size is specified and the basis for acceptance or rejection (number of defects) is provided.

Samples of material can be taken or provided for testing, analysis, investigation, quality control, demonstration, or trial use.

The seven basic tools stand in contrast to more advanced statistical methods such as survey sampling, acceptance sampling, statistical hypothesis testing, design of experiments, multivariate analysis, and various methods developed in the field of operations research.

With Harold F. Dodge at Bell Labs, she was an early contributor to the theory of acceptance sampling.

Pre-shipment acceptance sampling, involving inspection and acceptance testing, may be agreed upon between a buyer, a supplier, and a bank, and it can be used to initiate payment under a letter of credit.

Before writing her book, Natrella helped produce defense standard MIL-STD-105 for acceptance sampling.