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Sampling by Attributes

Military Standard 105E (ANSI/ASQC Z1.4, ISO 2859) Tables

9 & $code1<15){ $code = $code1-1; } else{ $code = $code1-2; } } ?>

For a lot of items, and AQL= , inspection plans are:

The Single sampling procedure is:
", $n,"";?>* If the number of non-conforming items is
"; echo $c1; if ($c1 > 0) { echo " or less"; } echo "
--> accept the lot.
"; echo $r1," or more --> reject the lot."; $nplot=$n; $cplot=$c1; ?>


There is no Single sampling plan.

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"; break; } } if ( $type == 3 ) { include("dbl_reduce.inc"); $cc = 16 * ($AQL-1); } $n = $Sample[$code-1]; $c1 = $Dbl_C1[$cc+$code-1]; $r1 = $Dbl_R1[$cc+$code-1]; $c3 = $Dbl_C3[$cc+$code-1]; $r3 = $Dbl_R3[$cc+$code-1]; if ( $c1 < 0 ) { $n = $Sample[-$c1-1]; $c1 = $Dbl_C1[$cc-$c1-1]; $r1 = $Dbl_R1[$cc-$r1-1]; $c3 = $Dbl_C3[$cc-$c3-1]; $r3 = $Dbl_R3[$cc-$r3-1]; } if ( strcmp($c1,sg)==0 ){ ?>

There is no double sampling plan in this case. Use the single plan.

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In this case, consider the Single sampling plan, or use the following plan:

"; while( strcmp($Dbl_C1[$cc+$code-1+$j],dn)==0 || $Dbl_C1[$cc+$code-1+$j]<0){ $j=$j+1; } $n = $Sample[$code-1+$j]; $c1 = $Dbl_C1[$cc+$code-1+$j]; $r1 = $Dbl_R1[$cc+$code-1+$j]; $c3 = $Dbl_C3[$cc+$code-1+$j]; $r3 = $Dbl_R3[$cc+$code-1+$j]; } if ($type == 1 || $type == 2){ $r3 = $c3+1; } $nplot2 = $n; $cplot2 = $c1; $rplot2 = $r1; ?>
The Double sampling procedure is:
Step 1: ", $n,"";?>* items.
If the number of non-conforming items is
0) { echo " or less"; } echo " --> accept the lot.
"; echo $r1," or more --> reject the lot.
Otherwise, continue to step 2."; ?>
Step 2: ", $n,"";?>* additional items.
If the total number of non-conforming items is
"; echo $c3," or less --> accept the lot.
"; echo $r3," or more --> reject the lot."; ?>

*Note: If the sample size(s) exceeds the lot size, apply 100% sampling of the lot.

OC Curve ASN Curve
The OC curve describes the probability of accepting a lot, OC(p), as a function of the proportion non-conforming (p), for the single and double sampling plans described above. The ASN curve describes the average sample size, when employing the double sampling, as a function of the proportion of non-conforming items (p).

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© 2000-2001 Galit Shmueli