TY - JOUR ID - 132565 TI - Determination of Optimum Sample Size for Lot Acceptance Attribute Sampling under Life Tests Based On Rayleigh Distribution Using Graphical Evaluation Review Technique (GERT) JO - International Journal of Reliability, Risk and Safety: Theory and Application JA - IJRRS LA - en SN - AU - Kumarasamy, Pradeepa Veerakumari AU - Nagarathinam, Sivakasini AU - Asif, Thottathil AD - Department of Statistics Bharathiar University, India AD - Department of Statistics Bharathiar University, India Y1 - 2020 PY - 2020 VL - 3 IS - 2 SP - 91 EP - 98 KW - Reliability life test sampling plan KW - Graphical Evaluation Review Technique (GERT) KW - Rayleigh Distribution KW - Life Time Distribution Model DO - 10.30699/IJRRS.3.2.11 N2 - 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. UR - http://www.ijrrs.com/article_132565.html L1 - http://www.ijrrs.com/article_132565_f1f4acf65632df992d193f38b3d1759d.pdf ER -