TY - JOUR ID - 72343 TI - An Iterative Decision Rule to minimize cost of Acceptance Sampling Plan in Machine Replacement Problem JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Abdollahi, Parvin AU - Sheikh Sajadieh, Mohsen AD - Industral Engineering, Yazd University AD - , Amirkabir University of Technology Y1 - 2014 PY - 2014 VL - 27 IS - 7 SP - 1099 EP - 1106 KW - Machine Replacement KW - Acceptance Sampling Plan KW - Control Threshold Policy KW - Dynamic programming DO - N2 - In this paper, we presented an optimal iterative decision rule for minimizing total cost in designing a sampling plan for machine replacement problem using the approach of dynamic programming and Bayesian inferences. Cost of replacing the machine and cost of defectives produced by machine has been considered in model. Concept of control threshold policy has been applied for decision making. If the probability of producing a defective was more than a control threshold the machine is replaced otherwise its quality will be accepted and continues its production. A Numerical example along with sensitivity analysis is performed to show the application of proposed methodology. UR - https://www.ije.ir/article_72343.html L1 - https://www.ije.ir/article_72343_e1f3101495a8e8cbaf1a329481eaba1f.pdf ER -