%0 Journal Article %T Determination of Optimum Sample Size for Lot Acceptance Attribute Sampling under Life Tests Based On Rayleigh Distribution Using Graphical Evaluation Review Technique (GERT) %J International Journal of Reliability, Risk and Safety: Theory and Application %I Aerospace Research Institute, Ministry of Science, Research and Technology, IRAN %Z 2676-3346 %A Kumarasamy, Pradeepa Veerakumari %A Nagarathinam, Sivakasini %A Asif, Thottathil %D 2020 %\ 12/01/2020 %V 3 %N 2 %P 91-98 %! Determination of Optimum Sample Size for Lot Acceptance Attribute Sampling under Life Tests Based On Rayleigh Distribution Using Graphical Evaluation Review Technique (GERT) %K Reliability life test sampling plan %K Graphical Evaluation Review Technique (GERT) %K Rayleigh Distribution %K Life Time Distribution Model %R 10.30699/IJRRS.3.2.11 %X This paper presents the graphical evaluation and review technique (GERT) exploration of performance measures for lot acceptance sampling procedures having attribute characteristics following life tests based on percentiles of Rayleigh Distribution and henceforth determining optimum sampling size.  The advantageous implications of GERT analysis in this framework is primarily to visualize the dynamics of the sampling inspection system and secondly, critical analysis of sampling procedure characteristics. The formula of operating characteristics (OC) function and average sample number (ASN) function is derived and illustrated numerically. Lastly, tables have been provided to determine the optimum sample size assuring certain mean life or quality of the product. %U http://www.ijrrs.com/article_132565_f1f4acf65632df992d193f38b3d1759d.pdf