Optimization of CASP-CUSUM Schemes Based on Truncated Erlangian Distribution using Lobatto Integration Method

The quality and reliability are fundamental criteria to accept or reject the manufactured products. Thus the Acceptance Sampling Plans are being introduced to accept or reject the lots of finished products in the present scenario. Such types of methods are involved in the inspection quality of product which is destructive where 100% inspection is not possible such as bullets, batteries, bulbs and so on. This paper study the CASP- CUSUM Schemes based on the assumption that the continuous variable under consideration follows a truncated Erlangian distribution. It is used the Lobatto Integration Method to solve the truncated integral equations. The Erlangian Distribution plays a vital role in Statistical Quality Control, particularly in estimating reliability by considering its distribution. Optimum CASP-CUSUM Schemes are suggested based on numerical results obtained.