In this paper, we introduce a new sampling plan based on the defective proportion of batch. The proposed sampling plan is based on the distribution function of the proportion defective. A continuous loss function is used to quantify deviations between the proportion defective and its acceptance quality level (AQL). For practical purpose, a sensitivity analysis is carried out on the different values of the required sample sizes that allow practitioners to design near optimal inspection plans. A numerical example is presented to illustrate how the proposed procedure can be applied to design acceptance plans.
Fakhrzad, M., & Fallah Nezhad, M. S. (2012). Determining an Economically Optimal (N,C) Design via Using Loss Functions. International Journal of Engineering, 25(3), 197-202.
MLA
M.B. Fakhrzad; Mohammad Saber Fallah Nezhad. "Determining an Economically Optimal (N,C) Design via Using Loss Functions". International Journal of Engineering, 25, 3, 2012, 197-202.
HARVARD
Fakhrzad, M., Fallah Nezhad, M. S. (2012). 'Determining an Economically Optimal (N,C) Design via Using Loss Functions', International Journal of Engineering, 25(3), pp. 197-202.
VANCOUVER
Fakhrzad, M., Fallah Nezhad, M. S. Determining an Economically Optimal (N,C) Design via Using Loss Functions. International Journal of Engineering, 2012; 25(3): 197-202.
)
