Title of article :
Product acceptance determination based on EWMA yield index using repetitive and MDS sampling schemes
Author/Authors :
Aslam, M Department of Statistics - Faculty of Science - King Abdulaziz University - Jeddah, Saudi Arabia , Azam, M Department of Statistics and Computer Sciences - University of Veterinary and Animals Sciences - Lahore, Pakistan , Sherwani, R.A.K College of Statistical and Actuarial Sciences - University of the Punjab - Lahore, Pakistan , Yen, C.H Department of Industrial Engineering and Management Information - Huafan University - Taipei, Taiwan , Jun, C.H Department of Industrial and Management Engineering - POSTECH, Republic of Korea
Abstract :
Abstract. This study presents a repetitive group sampling plan and a multiple dependent state sampling plan based on the EWMA (exponentially weighted moving average) yield index for product acceptance. The proposed plans utilize the current and previous information through EWMA statistic to reach a decision of lot sentencing. A non-linear optimization model is developed to determine the plan parameters of the proposed plans for various specied conditions. The performance of the proposed plans over several existing sampling plans is analyzed, showing that the proposed plans are effcient in reducing the sample size for lot sentencing. For industrial application, a real example is given to demonstrate the implementation of the proposed plans.
Keywords :
Sampling plan , repetitive sampling , normal distribution , multiple dependent state sampling , Repetitive group sampling , Multiple dependent state sampling , Exponentially weighted moving average , Lot sentencing , Non-linear optimization
Journal title :
Iranian Journal of Accounting, Auditing and Finance (IJAAF)
