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

Author Biographies

Sampath Sundaram, DEPARTMENT OF STATISTICS UNIVERSITY OF MADRAS CHENNAI 600005

PROFESSOR OF STATISTICS

UNIVERSITY OF MADRAS

CHEPAUK

CHENNAI 600005

INDIA

S P Deepa, SDNB VAISHNAV COLLEGE FOR WOMEN CHROMEPET CHENNAI 600044 INDIA

Lecturer

Department of Statistics

SDNB VAISHNAV COLLEGE FOR WOMEN

CHENNAI 600044

INDIA

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