Abstract
Economic design of sampling plans involves creating sampling plans that minimize the total cost associated with the inspection process while ensuring quality. It aims to address the quality risk concerns of both producer and consumer, ensuring product quality while minimizing inspection costs. This article’s objective is to design single sampling plans by attributes based on Zero-inflated Binomial (ZIB) distribution, using cost optimization principles by developing an economic model aimed at achieving optimal total cost by considering the Average Total Inspection (ATI). Numerical illustration is provided to illustrate the selection of single sampling plans under ZIB distribution that minimizes producer’s total cost. Sensitivity analysis of the parameters is discussed.
Recommended Citation
S., Sangeetha; K., Shalini; R., Hemalatha; and R., Priyadharshini
(2025).
(SI15-142) Selection of Single Sampling Plans Based on Zero Inflated Binomial Distribution using Cost Optimization,
Applications and Applied Mathematics: An International Journal (AAM), Vol. 20,
Iss.
4, Article 5.
Available at:
https://digitalcommons.pvamu.edu/aam/vol20/iss4/5