Repetitive Group Reliability Sampling Scheme Case Study
This paper deals with Repetitive Group Reliability Sampling Scheme (RGRSS) through the designing of relative slopes and ratio of relative slopes indexed through the basic quality levels namely Acceptable Quality Level (AQL), Limiting Quality Level (LQL) and indifference Quality Levels (IQL) using exponential distribution. Necessary tables and procedures were given for designing the systems with illustrations.
Keywords:
Reliability sampling, Acceptable Quality Level (AQL), Limiting Quality Level (LQL), Indifference Quality Level (IQL), Relative Slopes.
1. Introduction
In Modern industrial companies have been characterized by the ever-increasing step of new products appearing on the market. There is also an increasing reliability requirement …show more content…
Suresh (1993) has presented and constructed tables for the selection of QSS with Single sampling plan as reference plan indexed through (p1, h1) and (p2, h2) involving incentive and filter effects.
Kaviyarasu (2012) has designed various plans for given values of (p1, h1), (p2, h2) and (p0, h0) for the selection of QSS- 2 and QSS-3 with Repetitive Group Sampling plan as reference plan. Further they studied the QSS-1, QSS- 2 and QSS-3 with Conditional Repetitive Group Sampling (CRGS), Multiple Repetitive Group Sampling (MRGS) and Two-Stage Repetitive Group Sampling (TSRGS) plan as reference plan.
Kaviyarasu et al (2014) has Proposed Designing of repetitive Group Reliability Sampling Scheme (RGRSS) Through Basic Quality Levels. It follows the acceptance sampling methodologies in life time of the product through exponential distribution and parameters involved should be satisfying the producer risks and consumer …show more content…
Which associated with c1=4, c2=4. From this, one can obtain the sample size n=28.6≅29, thus, the selected plan parameters of RGRSS is n=29, c1=4and c2=4. Example 2, for given p2=0.002 and h2=0.002 from Table-1. Column headed h2, locate the value which is equal to or just greater than the specified h2 which is 0.050071, corresponding to this h2 and np2. Which associated with c1=1, c2=2. From this, one can obtain the sample size n=25, thus, the selected plan parameters of RGRSS is n=25, c1=1 and c2=1. Example 3, for given p0=0.001 and h0=0.002from Table-1. Column headed h0, locate the value which is equal to or just greater than the specified h0 which is 0.044745, corresponding to this h0 and np0. Which associated with c1=5, c2=9. From this, one can obtain the sample size n=44.7≅45, thus, the selected plan parameters for RGRSS is n=45, c1=5 and c2=9.
3. Designing plans through the ratio relative
Keywords:
Reliability sampling, Acceptable Quality Level (AQL), Limiting Quality Level (LQL), Indifference Quality Level (IQL), Relative Slopes.
1. Introduction
In Modern industrial companies have been characterized by the ever-increasing step of new products appearing on the market. There is also an increasing reliability requirement …show more content…
Suresh (1993) has presented and constructed tables for the selection of QSS with Single sampling plan as reference plan indexed through (p1, h1) and (p2, h2) involving incentive and filter effects.
Kaviyarasu (2012) has designed various plans for given values of (p1, h1), (p2, h2) and (p0, h0) for the selection of QSS- 2 and QSS-3 with Repetitive Group Sampling plan as reference plan. Further they studied the QSS-1, QSS- 2 and QSS-3 with Conditional Repetitive Group Sampling (CRGS), Multiple Repetitive Group Sampling (MRGS) and Two-Stage Repetitive Group Sampling (TSRGS) plan as reference plan.
Kaviyarasu et al (2014) has Proposed Designing of repetitive Group Reliability Sampling Scheme (RGRSS) Through Basic Quality Levels. It follows the acceptance sampling methodologies in life time of the product through exponential distribution and parameters involved should be satisfying the producer risks and consumer …show more content…
Which associated with c1=4, c2=4. From this, one can obtain the sample size n=28.6≅29, thus, the selected plan parameters of RGRSS is n=29, c1=4and c2=4. Example 2, for given p2=0.002 and h2=0.002 from Table-1. Column headed h2, locate the value which is equal to or just greater than the specified h2 which is 0.050071, corresponding to this h2 and np2. Which associated with c1=1, c2=2. From this, one can obtain the sample size n=25, thus, the selected plan parameters of RGRSS is n=25, c1=1 and c2=1. Example 3, for given p0=0.001 and h0=0.002from Table-1. Column headed h0, locate the value which is equal to or just greater than the specified h0 which is 0.044745, corresponding to this h0 and np0. Which associated with c1=5, c2=9. From this, one can obtain the sample size n=44.7≅45, thus, the selected plan parameters for RGRSS is n=45, c1=5 and c2=9.
3. Designing plans through the ratio relative