A NEW ACCEPTANCE SAMPLING DESIGN USING BAYESIAN MODELING AND BACKWARD INDUCTION

M. S. Fallahnezhad
2012 International Journal of Engineering  
In acceptance sampling plans, the decisions on either accepting or rejecting a specific batch is still a challenging problem. In order to provide a desired level of protection for customers as well as manufacturers, in this paper, a new acceptance sampling design is proposed to accept or reject a batch based on Bayesian modeling to update the distribution function of the percentage of nonconforming items. Moreover, to determine the required sample size the backwards induction methodology of the
more » ... methodology of the decision tree approach is utilized. A sensitivity analysis that is carried out on the parameters of the proposed methodology shows the optimal solution is affected by initial values of the parameters. Furthermore, an optimal ( n ,c ) design is determined when there is a limited time and budget available and hence the maximum sample size is specified in advance.
doi:10.5829/idosi.ije.2012.25.01c.06 fatcat:64w24ukqz5btbdk6sxa2idmnvq