Main Article Content
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
Article Details
Authors who publish with this journal agree to the following License
CC BY: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
How to Cite
Sundaram, S., & Deepa, S. P. (2012). Determination of Optimal Double Sampling Plan using Genetic Algorithm. Pakistan Journal of Statistics and Operation Research, 8(2), 195-203. https://doi.org/10.18187/pjsor.v8i2.255