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Summary

Description
English: Example np-chart for a process that experienced a 1.5σ drift starting at midnight.
Date
Source Own work
Author DanielPenfield
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Creation technique

  1. Simulate process observations using perl, output to file.
  2. Read file into R, use qcc package to render control chart.
  3. Save to PDF.
  4. Import into Inkscape, save to SVG.

Source code

The logo of Perl – interpreted programming language first released in 1987
The logo of Perl – interpreted programming language first released in 1987
This media was created with Perl (interpreted programming language first released in 1987)
Here is a listing of the source used to create this file.

Deutsch  English  +/−

#!/usr/bin/perl -w

use strict;
use Math::Random;

my %shiftSchedule = (
    "first" =>  { "start" =>  6.00, "end" => 14.00 },
    "second" => { "start" => 14.00, "end" => 22.00 },
    "third" =>  { "start" => 22.00, "end" =>  6.00 }
);
my $shift = "third";         # shift to monitor
my $inspectionRate = 1 / 2;  # every 1/2 hour
my $drift = 1.5;             # sigma drift to simulate
my $m = 25;                  # samples in control chart setup
my $target = 0.10;           # fraction nonconforming target

my $p = $target;
my $n =                      # observations per sample
    int((9 * $p * (1 - $p)) / ($drift * $p * $drift * $p) + 0.5);
my $hour;
my $i;
my $minute;
my $observation;
my $setupM = $m;

print "timestamp sample sampleSize observation phase\r\n";

for ($i = 1; $i <= $m; $i++) {
    $observation = Math::Random::random_binomial(1, $n, $p);
    printf "     0:00 %6d     %6d          %2d setup\r\n", $i, $n, $observation;
}

$m = $shiftSchedule{$shift}{"end"} - $shiftSchedule{$shift}{"start"};
if ($m < 0) {
    $m += 24;
}
$m /= $inspectionRate;
for ($i = 1; $i <= $m; $i++) {
    $hour = int($i * $inspectionRate + $shiftSchedule{$shift}{"start"});
    if ($hour >= 24) {
	$hour -= 24;
    }
    $minute = ($i & 0x1) ? (60 * $inspectionRate) : 0;
    if ($i >= (0.25 * $m)) {
	if ($i < (0.75 * $m)) {
	    $p = $target + ($drift * $target / (0.5 * $m)) * ($i - (0.25 * $m));
	} else {
	    $p = $target + $drift * $target;
	}
    }
    $observation = Math::Random::random_binomial(1, $n, $p);
    printf "    %2d:%02d %6d     %6d          %2d monitoring\r\n", $hour, $minute, $setupM + $i, $n, $observation;
}


Source code

The logo of R – programming language for statistical analysis
The logo of R – programming language for statistical analysis
This media was created with R (programming language for statistical analysis)
Here is a listing of the source used to create this file.

Deutsch  English  +/−

observations <- read.table("thirdshiftfractionnonconforming.txt", TRUE)

require(qcc)
attach(observations)

# identify "observation" and "sample" columns as providing the
# observations and sample numbers
observation <- qcc.groups(observation, sample)

# number of samples in phase I ("setup")
m = length(phase[phase == "setup"]);

# we do not plot the phase I ("setup") data, so just provide a filler
setupTimestamps <- rep.int(c(""), m)

# extract the timestamps to display for the phase II ("monitoring") data
monitoringTimestamps <- as.character(timestamp[phase == "monitoring"])
# reduce to one per hour
for (i in 1:length(monitoringTimestamps)) {
    minutes <- strsplit(monitoringTimestamps[[i]], ":")[[1]][[2]]
    if (minutes != "00") monitoringTimestamps[[i]] <- ""
}

# extract the sample sizes
setupSampleSizes <- as.numeric(sampleSize[phase == "setup"])
monitoringSampleSizes <- as.numeric(sampleSize[phase == "monitoring"])

# plot np chart
obj <- qcc(data = observation[1:m],
           type = "np",
	   sizes = setupSampleSizes,
	   newdata = observation[-(1:m)],
	   newsizes = monitoringSampleSizes,
	   labels = setupTimestamps,
	   newlabels = monitoringTimestamps,
	   axes.las = 3,
	   chart.all = FALSE,
	   title = "np chart for quality characteristic XXX",
	   xlab = "Sample",
	   ylab = "Number nonconforming")

Licensing

DanielPenfield, the copyright holder of this work, hereby publishes it under the following licenses:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
Attribution:
You are free:
  • to share – to copy, distribute and transmit the work
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Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
GNU head Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.
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16 January 2010

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current21:48, 16 January 2010Thumbnail for version as of 21:48, 16 January 2010630 × 629 (38 KB)DanielPenfield{{Information |Description={{en|1=Example en:np-chart for a process that experienced a 1.5σ drift starting at midnight.}} |Source={{own}} |Author=DanielPenfield |Date=2010-01-16 |Permission= |other_versions= }} [[Category:Co

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