A New Optimization Model for Designing Acceptance S ampling Plan Based on Run Length of Conforming Items

The purpose of this article is to present an optimi zation model for designing an acceptance sampling plan based on cumulative sum of run length of conforming items. The objective is to minimize the total loss includi ng both the producer and consumer losses. The concept of minimum angle method is appl ied to consider producer and consumer risks in the optimization model. Also the average number of inspection is considered in the constraint of the model. A practi cal case study has been done and a sensitivity analysis is performed for elaborating t he effect of some important parameters on the objective function. The results of sensitivi ty analysis showed that the performance of the proposed model is logical, reliable in all t he cases and also has better performance in comparison with classical method in most of the cases. A computational experiment is done to compare the different sampling schemes. The results of computational experiment showed that the proposed model has bette r performance due to smaller ANI value in all cases.