Determination of Optimal Double Sampling Plan using Genetic Algorithm

Sampath Sundaram, S P Deepa

Abstract


Designing double sampling plan requires identification of sample sizes and acceptance numbers. In this paper a genetic algorithm has been designed for the selection of optimal acceptance numbers and sample sizes for the specified producer’s risk and consumer’s risk. Implementation of the algorithm has been illustrated numerically for different choices of quantities involved in a double sampling plan   

Keywords


Acceptance Sampling Plans

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DOI: http://dx.doi.org/10.18187/pjsor.v8i2.255

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Title

Determination of Optimal Double Sampling Plan using Genetic Algorithm

Keywords

Acceptance Sampling Plans

Description

Designing double sampling plan requires identification of sample sizes and acceptance numbers. In this paper a genetic algorithm has been designed for the selection of optimal acceptance numbers and sample sizes for the specified producer’s risk and consumer’s risk. Implementation of the algorithm has been illustrated numerically for different choices of quantities involved in a double sampling plan   

Date

2012-03-28

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol 8. No. 2, 2012



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810