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	<title>Stats Made Easy &#187; design of experiments</title>
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	<link>http://www.statsmadeeasy.net</link>
	<description>A wry look at all things statistical and/or scientific with an engineering perspective.</description>
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		<title>Strategy of experimentation: Break it into a series of smaller stages</title>
		<link>http://www.statsmadeeasy.net/2011/06/strategy-of-experimentation-break-it-into-a-series-of-smaller-stages/</link>
		<comments>http://www.statsmadeeasy.net/2011/06/strategy-of-experimentation-break-it-into-a-series-of-smaller-stages/#comments</comments>
		<pubDate>Mon, 20 Jun 2011 12:16:43 +0000</pubDate>
		<dc:creator>mark</dc:creator>
				<category><![CDATA[design of experiments]]></category>
		<category><![CDATA[probability]]></category>

		<guid isPermaLink="false">http://www.statsmadeeasy.net/?p=880</guid>
		<description><![CDATA[Tia Ghose of The Scientist provides a thought-provoking “Q&#38;A” with biostatistician Peter Bacchetti on “Why small is beautiful” in her June 15th column seen here.  Peter’s message is that you can learn from a small study even though it may not provide the holy grail of at least 80 percent power.*  The rule-of-thumb I worked [...]]]></description>
			<content:encoded><![CDATA[<p>Tia Ghose of <em>The Scientist</em> provides a thought-provoking “Q&amp;A” with biostatistician Peter Bacchetti on “Why small is beautiful” in her June 15<sup>th</sup> column seen<a href="http://the-scientist.com/2011/06/15/qa-why-small-is-beautiful/"> here</a>.  Peter’s message is that you can learn from a small study even though it may not provide the holy grail of at least 80 percent power.*  The rule-of-thumb I worked from as a process development engineer is not to put more than 25% of your budget into the first experiment, thus allowing the chance to adapt as you work through the project (or abandon it altogether).  Furthermore, a good strategy of experimentation is to proceed in three stages:</p>
<ul>
<li><span style="text-decoration: underline;">S</span>creening the vital few factors (typically 20%) from the trivial many (80%)</li>
<li><span style="text-decoration: underline;">C</span>haracterizing main effects and interactions</li>
<li><span style="text-decoration: underline;">O</span>ptimizing (typically via response surface methods).</li>
</ul>
<p>For a great overview of this &#8220;SCO&#8221; path for successful design of experiments (DOE) see <a href="http://www.pharmpro.com/articles/2010/03/government-and-regulatory-Implementing-Quality-by-Design/">this detailing</a> on “Implementing Quality by Design” by Ronald D. Snee in <em>Pharm Pro Magazine</em>, March 23, 2010.</p>
<p>Of course, at the very end, one must not overlook one last step: confirmation and/or verification.</p>
<p>* I am loathe to abandon the 80% power “rule”** but, rather, increase the size of effect that you screen for in the first stage, that is, do not use too fine a  <a href="http://www.mouldedscreentechnology.com/mesh-microns.html">mesh</a>.</p>
<p>** For a primer on power in the context of industrial experimentation via two-level factorial design, see <a href="http://www.statease.com/webinars/plan_and_analyze_a_verification_DOE.pdf">these webinar slides posted by Stat-Ease</a>.</p>
<p>&nbsp;</p>
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		<title>Video of paper-helicopter fly-offs at South Dakota School of Mines &amp; Technology</title>
		<link>http://www.statsmadeeasy.net/2011/05/video-of-paper-helicopter-fly-offs-at-south-dakota-school-of-mines-technology/</link>
		<comments>http://www.statsmadeeasy.net/2011/05/video-of-paper-helicopter-fly-offs-at-south-dakota-school-of-mines-technology/#comments</comments>
		<pubDate>Tue, 10 May 2011 20:35:07 +0000</pubDate>
		<dc:creator>mark</dc:creator>
				<category><![CDATA[design of experiments]]></category>
		<category><![CDATA[education]]></category>

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		<description><![CDATA[Stat-Ease Consultant Brooks Henderson produced this video &#8212; it&#8217;s quite impressive! For background on the paper helicopter experiment, see this previous StatsMadeEasy post.]]></description>
			<content:encoded><![CDATA[<p>Stat-Ease Consultant <a href="http://www.statease.com/brooksh.html">Brooks Henderson</a> produced this video &#8212; it&#8217;s quite impressive!</p>
<p><object width="425" height="349"><param name="movie" value="http://www.youtube.com/v/YmW2Rn3I3K4?fs=1&amp;hl=en_US" /><param name="allowFullScreen" value="true" /><param name="allowscriptaccess" value="always" /><embed type="application/x-shockwave-flash" width="425" height="349" src="http://www.youtube.com/v/YmW2Rn3I3K4?fs=1&amp;hl=en_US" allowfullscreen="true" allowscriptaccess="always"></embed></object></p>
<p>For background on the paper helicopter experiment, see <a href="http://www.statsmadeeasy.net/2010/04/creativity-defeats-sensibility-for-paper-helicopter-fly-off/">this previous StatsMadeEasy post</a>.</p>
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		<title>Brain-bending thoughts on a coffee experiment</title>
		<link>http://www.statsmadeeasy.net/2010/10/brain-bending-thoughts-on-a-coffee-experiment/</link>
		<comments>http://www.statsmadeeasy.net/2010/10/brain-bending-thoughts-on-a-coffee-experiment/#comments</comments>
		<pubDate>Sun, 24 Oct 2010 09:27:42 +0000</pubDate>
		<dc:creator>mark</dc:creator>
				<category><![CDATA[design of experiments]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Wellness]]></category>
		<category><![CDATA[food]]></category>
		<category><![CDATA[mixture]]></category>

		<guid isPermaLink="false">http://www.statsmadeeasy.net/?p=650</guid>
		<description><![CDATA[The Stat-Ease training center here at our world headquarters in Minneapolis features a wonderful single-cup brewing system that you can see demoed here.  When we are not holding a workshop, I sometimes sneak in to steal a cup late in the day.  By then I am reaching my limit, so I brew a “half-calf” at [...]]]></description>
			<content:encoded><![CDATA[<p>The Stat-Ease training center here at our world headquarters in Minneapolis features a wonderful single-cup brewing system that you can see <a href="http://www.keurig.com/demo.html">demoed here</a>.  When we are not holding a workshop, I sometimes sneak in to steal a cup late in the day.  By then I am reaching my limit, so I brew a “half-calf” at the half-cup setting.  Being a chemical engineer, I calculate that, in this case, half of half makes a whole, that is, coffee with the normal concentration of caffeine.  Does that make sense?</p>
<p>Making a tasty and effective cup of coffee is a huge deal for knowledge workers who need to keep their heads in gear from start to finish of every single day.  One of our workshop students, a PhD, has been picking my brain about testing coffee blends on her staff of scientists.  She proposes to do a mixture design such as I did on varying types of beers (see <a href="http://www.statease.com/news/news0709.pdf">Mixture Design Brews Up New Beer Cocktail—Black &amp; Blue Moon</a>).</p>
<p>Obviously overall liking on a sensory basis should be first and foremost for such an experiment on coffee – a 5 to 9-point scale works well for this.*  However, the tricky part is assessing the impact of coffee for accelerating information processing and general problem-solving, which I hypothesize depends on level of caffeine.  I wonder if an online “brain training” service, such as <a href="http://www.lumosity.com/">this one developed by neuroscientists at Stanford and UCSF</a>, might provide a valid measure.</p>
<p>The down side of doing a proper test on whether coffee improves cognitive skills will be the necessity of reverting to the base line, that is, every morning getting up and trying to function without the first cup.</p>
<blockquote><p>“A mathematician is a machine for turning coffee into theorems.”</p></blockquote>
<p>&#8211; Alfréd Rényi</p>
<p>*Turn your volume down (to not hear the advert) and see <a href="http://www.s-cool.co.uk/gcse/food-technology/systems-and-control/sensory-evaluation.html">this primer on sensory evaluation</a> by S-Cool– a UK educational site for teenagers.</p>
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		<title>Blah, blah, blah&#8230;&#8221;quadratic&#8221;</title>
		<link>http://www.statsmadeeasy.net/2010/08/blah-blah-blah-quadratic/</link>
		<comments>http://www.statsmadeeasy.net/2010/08/blah-blah-blah-quadratic/#comments</comments>
		<pubDate>Sun, 15 Aug 2010 22:34:24 +0000</pubDate>
		<dc:creator>mark</dc:creator>
				<category><![CDATA[design of experiments]]></category>
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.statsmadeeasy.net/?p=608</guid>
		<description><![CDATA[This add by Target got my attention.  It reminded me of my futile attempt to get my oldest daughter interested in math.  For her the last straw was my overly-enthusiastic reaction to her questioning me why anyone would care about quadratic equations.  Perhaps I over-reacted and lectured on a bit too long about this being [...]]]></description>
			<content:encoded><![CDATA[<p>This add by Target got my attention.  It reminded me of my futile attempt to get my oldest daughter interested in math.  For her the last straw was my overly-enthusiastic reaction to her questioning me why anyone would care about quadratic equations.  Perhaps I over-reacted and lectured on a bit too long about this being a very useful approximating function for response surface methods, blah, blah, blah&#8230;</p>
<p><object width="640" height="385"><param name="movie" value="http://www.youtube.com/v/1gx5Axt-DzU?fs=1&amp;hl=en_US"></param><param name="allowFullScreen" value="true"></param><param name="allowscriptaccess" value="always"></param><embed src="http://www.youtube.com/v/1gx5Axt-DzU?fs=1&amp;hl=en_US" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="640" height="385"></embed></object></p>
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		<title>Priming R&amp;D managers to allow sufficient runs for well-designed experiment</title>
		<link>http://www.statsmadeeasy.net/2010/06/priming-rd-managers-to-allow-sufficient-runs-for-well-designed-experiment/</link>
		<comments>http://www.statsmadeeasy.net/2010/06/priming-rd-managers-to-allow-sufficient-runs-for-well-designed-experiment/#comments</comments>
		<pubDate>Wed, 02 Jun 2010 11:41:50 +0000</pubDate>
		<dc:creator>mark</dc:creator>
				<category><![CDATA[design of experiments]]></category>

		<guid isPermaLink="false">http://www.statsmadeeasy.net/?p=569</guid>
		<description><![CDATA[I am learning a lot this week at the Third European DOE User meeting in Lucerne, which features many excellent applications of DOE to industrial problems.   Here&#8217;s an interesting observation from Pavel Nesladek, a technical expert from the Advanced Mask Technology Center of Dresden, Germany.  He encounters severe pressure to find answers in minimal [...]]]></description>
			<content:encoded><![CDATA[<p>I am learning a lot this week at the Third European DOE User meeting in Lucerne, which features many excellent applications of DOE to industrial problems.   Here&#8217;s an interesting observation from Pavel Nesladek, a technical expert from the Advanced Mask Technology Center of Dresden, Germany.  He encounters severe pressure to find answers in minimal time at the least possible cost.   Pavel found that whatever number of runs he asked to do for a given design of experiment, his manager would press for fewer.  However, he learned that by asking for a prime number, these questions would be preempted, presumably because this seemed to be so precise that it must not be tampered with! For example, Pavel really needed to complete 20 runs for adequate power and resolution in a troubleshooting experiment, so he asked for 23 and got it.  Tricky!  Perhaps you stats-savvy readers who need a certain sample size to accomplish your objective might try this approach.  Prima!</p>
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		<title>PB&amp;J please, but hold the jelly (and margarine) and put it on toast – a mixture design combined with a categorical factor</title>
		<link>http://www.statsmadeeasy.net/2010/05/pbj-please-but-hold-the-jelly-and-margarine-and-put-it-on-toast-%e2%80%93-a-mixture-design-combined-with-a-categorical-factor/</link>
		<comments>http://www.statsmadeeasy.net/2010/05/pbj-please-but-hold-the-jelly-and-margarine-and-put-it-on-toast-%e2%80%93-a-mixture-design-combined-with-a-categorical-factor/#comments</comments>
		<pubDate>Thu, 27 May 2010 14:04:12 +0000</pubDate>
		<dc:creator>mark</dc:creator>
				<category><![CDATA[design of experiments]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Wellness]]></category>
		<category><![CDATA[food]]></category>

		<guid isPermaLink="false">http://www.statsmadeeasy.net/?p=552</guid>
		<description><![CDATA[My colleague Pat Whitcomb just completed the first teach of Advanced Formulations: Combining Mixture &#38; Process Variables.  It inspired me to develop a virtual experiment for optimizing my perfect peanut butter and jelly (PB&#38;J) sandwich.  This was a staple for me and my six siblings when we were growing up.  Unfortunately, so far as I [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.statsmadeeasy.net/wp-content/uploads/2010/05/PBJM-on-bread-or-toast_Model-Graph-of-R1Overall-liking-Toast1.png"><img class="alignright size-thumbnail wp-image-561" title="Overall liking of peanut butter (A), margarine (B) and jelly (C) on Toast" src="http://www.statsmadeeasy.net/wp-content/uploads/2010/05/PBJM-on-bread-or-toast_Model-Graph-of-R1Overall-liking-Toast1-150x150.png" alt="" width="150" height="150" /></a><a href="http://www.statsmadeeasy.net/wp-content/uploads/2010/05/PBJM-on-bread-or-toast_Model-Graph-of-R1Overall-liking-Fresh2.png"><img class="alignright size-thumbnail wp-image-563" title="Peanut butter, margarine and jelly on white bread" src="http://www.statsmadeeasy.net/wp-content/uploads/2010/05/PBJM-on-bread-or-toast_Model-Graph-of-R1Overall-liking-Fresh2-150x150.png" alt="" width="150" height="150" /></a>My colleague Pat Whitcomb just completed the first teach of <a href="http://www.statease.com/clas_mix2.html">Advanced Formulations: Combining Mixture &amp; Process Variables</a>.  It inspired me to develop a virtual experiment for optimizing my perfect peanut butter and jelly (PB&amp;J) sandwich.  This was a staple for me and my six siblings when we were growing up.  Unfortunately, so far as I was concerned, my mother generously slathered margarine on the bread (always white in those days – no whole grains) and then thick layers of peanut butter and jelly (always grape).  As you see* in the response surfaces for overall liking [ <img src='http://www.statsmadeeasy.net/wp-includes/images/smilies/icon_sad.gif' alt=':(' class='wp-smiley' />  1-9 <img src='http://www.statsmadeeasy.net/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' />  ], I prefer that none of the mixture ingredients (A: Peanut butter, B: Margarine, C: Jelly) be mixed, and I like the bread toasted.  This analysis was produced using the Combined design tab from <a href="http://www.statease.com/dx8descr.html">Design-Expert® software version 8</a> released by Stat-Ease earlier this year.  I’d be happy to provide the data set, especially for anyone that may be hosting me for a PB&amp;J dinner party. <img src='http://www.statsmadeeasy.net/wp-includes/images/smilies/icon_wink.gif' alt=';)' class='wp-smiley' /> </p>
<p>*Click to enlarge the plots so you can see the legend, etc.</p>
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		<title>Two-level factorial experimentation might make music for my ears</title>
		<link>http://www.statsmadeeasy.net/2010/05/two-level-factorial-experimentation-might-make-music-for-my-ears/</link>
		<comments>http://www.statsmadeeasy.net/2010/05/two-level-factorial-experimentation-might-make-music-for-my-ears/#comments</comments>
		<pubDate>Sun, 09 May 2010 13:33:39 +0000</pubDate>
		<dc:creator>mark</dc:creator>
				<category><![CDATA[design of experiments]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Wellness]]></category>
		<category><![CDATA[health]]></category>

		<guid isPermaLink="false">http://www.statsmadeeasy.net/?p=544</guid>
		<description><![CDATA[I am a fan of classical music – it soothes my mind and lifts my spirits.  Maybe I’m deluded, but I swear there’s a Mozart effect* on my brain.  However, a big monkey wrench comes flying in on my blissful state when my stereo speaker (always only one of the two) suddenly goes into a [...]]]></description>
			<content:encoded><![CDATA[<p>I am a fan of classical music – it soothes my mind and lifts my spirits.  Maybe I’m deluded, but I swear there’s a Mozart effect* on my brain.  However, a big monkey wrench comes flying in on my blissful state when my stereo speaker (always only one of the two) suddenly goes into a hissy fit. I’ve tried a number of things on a hit-or-miss basis and failed to find the culprit.  At this point I think it’s most likely the receiver itself – a Yamaha RX496.  However, before spending the money to replace it, I’d like to rule out a number of other factors:</p>
<ol>
<li>Speaker set: A vs B</li>
<li>Speaker wire: Thin vs Thick.</li>
<li>Source: CD vs FM-Radio</li>
<li>Speaker: Left vs Right.</li>
</ol>
<p>It’s very possible that an interaction of two or more factors may be causing the problem, so to cover all bases I need to do all 16 possible combinations (2^4).  But, aside from the work this involves for all the switching around of parts and settings, I am stymied by the failure being so sporadic.</p>
<p>Anyways, I feel better now having vented this to my blog while listening to some soothing Sunday choir music by the <a href="http://www.dalewarlandsingers.org/">Dale Warland Singers</a> on the local classical radio station.  I’m taking no chances: It’s playing on my backup Panasonic SA-EN25 bookshelf system.</p>
<p>*Vastly over-rated according to <a href="http://www.skepdic.com/mozart.html">this report by the Skeptic’s Dictionary</a>.</p>
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		<title>Creativity defeats sensibility for paper helicopter fly-off</title>
		<link>http://www.statsmadeeasy.net/2010/04/creativity-defeats-sensibility-for-paper-helicopter-fly-off/</link>
		<comments>http://www.statsmadeeasy.net/2010/04/creativity-defeats-sensibility-for-paper-helicopter-fly-off/#comments</comments>
		<pubDate>Fri, 09 Apr 2010 22:02:55 +0000</pubDate>
		<dc:creator>mark</dc:creator>
				<category><![CDATA[design of experiments]]></category>

		<guid isPermaLink="false">http://www.statsmadeeasy.net/?p=524</guid>
		<description><![CDATA[Twice a year I teach a day on design of experiments (DOE) at Ohio State University’s Fisher College of Business.  The students are top-flight executives seeking six sigma black belt certification.  To demonstrate their proficiency for doing DOE, I ask them to break into teams of three or four and, within a two hour period, [...]]]></description>
			<content:encoded><![CDATA[<p>Twice a year I teach a day on design of experiments (DOE) at Ohio State University’s Fisher College of Business.  The students are top-flight executives seeking six sigma black belt certification.  To demonstrate their proficiency for doing DOE, I ask them to break into teams of three or four and, within a two hour period, complete a two-level factorial on paper helicopters.*</p>
<p>It’s always interesting to see how intensely these teams from industry compete to develop the ‘copter that flies longest while landing most accurately.  However, this year one group stood out as being less competitive than the others.  Therefore, I was very surprised that they handily won our final fly-off.  It turns out that one of their factors was dropping the helicopter either wings-up or wings-down – the latter configuration being completely non-intuitive.  It turns out that going upside down makes it easier to drop, the flight time suffers only slightly and the flight becomes far more accurate – a premium in my overall scoring.</p>
<blockquote><p>“The chief enemy of creativity is ‘good’ sense.”<br />
- Pablo Picasso</p></blockquote>
<p>Ironically, another team who benefited from having an expert in aeronautical engineering and a very impressive work ethic all around – they did more runs by far than anyone else – never thought of flying the ‘copters upside down.  In fact, their team leader objected very vigorously that this orientation must not be allowed, it being clearly unfair.  Fortunately, other executives in this black-belt class hooted this down.</p>
<p>I thought this provided a good lesson for process and product improvement – never assume that something cannot work when it can be easily tested.  That’s the beauty of DOE – it enables one to screen unknown (and summarily dismissed) factors to uncover a vital few that often prove to be the key for beating the competition.</p>
<p>*I also do this experiment for a class on DOE that I teach every Spring at South Dakota School of Mines and Technology.  In fact, I am writing this blog from their campus in Rapid City where I’ll be teaching class tonight.  For details, pictures and results of prior experiments here and at OSU, see  <a href="http://www.statease.com/news/news0409.pdf">this 2004 <em>Stat-Teaser</em> article on “Playing with Paper Helicopters”</a>.</p>
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		<title>Evolutionary operation</title>
		<link>http://www.statsmadeeasy.net/2010/03/evolutionary-operation/</link>
		<comments>http://www.statsmadeeasy.net/2010/03/evolutionary-operation/#comments</comments>
		<pubDate>Mon, 08 Mar 2010 00:56:47 +0000</pubDate>
		<dc:creator>mark</dc:creator>
				<category><![CDATA[design of experiments]]></category>
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.statsmadeeasy.net/?p=501</guid>
		<description><![CDATA[Last December, after an outing by the Florida sea, I put out an alert about monster lobsters.  This reminded me of an illustration by statistical gurus Box and Draper* of a manufacturing improvement method called evolutionary operation (EVOP), which calls for an ongoing series of two-level factorial designs that illuminate a path to more desirable [...]]]></description>
			<content:encoded><![CDATA[<p>Last December, after an outing by the Florida sea, I put out an <a href="http://www.statsmadeeasy.net/2009/12/atlantic-claws-coming-to-town-this-christmas">alert about monster lobsters</a>.  This reminded me of an illustration by statistical gurus Box and Draper* of a manufacturing improvement method called evolutionary operation (EVOP), which calls for an ongoing series of two-level factorial designs that illuminate a path to more desirable conditions.</p>
<p><a href="http://www.statsmadeeasy.net/wp-content/uploads/2010/03/Lobster_Model-Graph-of-R1Survival-Small.png"><img class="size-thumbnail wp-image-512 alignright" title="Lobster Survival Color Contour Plot" src="http://www.statsmadeeasy.net/wp-content/uploads/2010/03/Lobster_Model-Graph-of-R1Survival-Small-150x150.png" alt="" width="150" height="150" /></a></p>
<p><a href="http://www.statsmadeeasy.net/wp-content/uploads/2010/03/Lobster-EVOP-Small.png"><img class="size-thumbnail wp-image-511 alignright" title="Lobster EVOP" src="http://www.statsmadeeasy.net/wp-content/uploads/2010/03/Lobster-EVOP-Small-150x150.png" alt="" width="150" height="150" /></a></p>
<p><a href="http://www.statsmadeeasy.net/wp-content/uploads/2010/03/Mfg-EVOP-Small.png"><img class="size-thumbnail wp-image-510 alignright" title="Mfg EVOP" src="http://www.statsmadeeasy.net/wp-content/uploads/2010/03/Mfg-EVOP-Small-150x150.png" alt="" width="150" height="150" /></a></p>
<p>With the aid of Design-Expert® software, I reproduced in color the contour plot in Figure 1.3 from the book on EVOP by Box and Draper (see figure at the right).  To illustrate the basic principle of evolution, Box and Draper supposed that a series of mutations induced variation in length of lobster claws as well as the pressure the creatures could apply.  The contours display the percentage of lobsters at any given combination of length and pressure who survive long enough to reproduce.  Naturally this species then evolves toward the optimum of these two attributes as I&#8217;ve shown in the middle graph (black and white contours with lobsters crawling all over them).</p>
<p>In this way, Box and Draper present the two key components of natural selection:</p>
<ol>
<li>Variation</li>
<li>An environment that favors select variants.</li>
</ol>
<p>The strategy of EVOP mimics this process for improvement, but in a controlled fashion.  As illustrated here in the left-most plot, a two-level factorial,** with ranges restricted so as not to upset manufacturing, is run repeatedly – often enough to detect a significant improvement.  In this case, three cycles suffices to power up the signal-to-noise ratio.  This case illustrates a big manufacturing-yield improvement over the course of an EVOP.  However, any number of system attributes can be accounted for via multiple-response optimization tools provided by Design-Expert or the like.  This ensures that an EVOP will produce more desirable operating conditions overall for process efficiency and product quality.</p>
<p>It pays to pay attention to nature!</p>
<p>*Box, G. E. P. and N. R. Draper, <em>Evolutionary Operation</em>, Wiley New York, 1969.  (Wiley Classics Library, paperback edition, 1998.)</p>
<p>**(We show designs with center points as a check for curvature.)</p>
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		<title>Management Blog Carnival, Review 2 &#8211; &#8220;Hexawise&#8221; by Justin Hunter</title>
		<link>http://www.statsmadeeasy.net/2010/01/management-blog-carnival-review-2-hexawise-by-justin-hunter/</link>
		<comments>http://www.statsmadeeasy.net/2010/01/management-blog-carnival-review-2-hexawise-by-justin-hunter/#comments</comments>
		<pubDate>Fri, 01 Jan 2010 18:27:02 +0000</pubDate>
		<dc:creator>hank</dc:creator>
				<category><![CDATA[design of experiments]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[programming]]></category>

		<guid isPermaLink="false">http://www.statsmadeeasy.net/?p=448</guid>
		<description><![CDATA[(Editor’s note: This blog is contributed by my son Hank – a programmer by profession.  It&#8217;s the second of three in a carnival organized by John Hunter.  -Mark) Justin Hunter is the founder of Hexawise, a SaaS tool that aids in setting up tests for software using statistical methods. This also happens to be the [...]]]></description>
			<content:encoded><![CDATA[<p><em>(Editor’s note: This blog is contributed by my son Hank – a programmer by profession.  It&#8217;s the second of three in a <a href="http://curiouscat.com/management/carnival_2009.cfm">carnival</a> organized by John Hunter.  -Mark)</em></p>
<p>Justin Hunter is the founder of <a href="http://www.hexawise.com">Hexawise</a>, a SaaS tool that aids in setting up tests for software using statistical methods. This also happens to be the subject of his blog &#8211; no doubt influenced in part by his father, <a href="http://williamhunter.org">William Hunter</a>, author of the classic text <strong>Statistics for Experimenters</strong>.  Justin started the blog mid-way through &#8217;09, so the pickings are a little slim, but there is still plenty of good stuff.</p>
<p>Some highlights from 2009:</p>
<ul>
<li> <a href="http://hexawise.wordpress.com/2009/10/06/a-stackoverflow-com-for-software-testing/">10/6 The Stackoverflow.com for Software Testers</a> marks the release of a beta version of <a href="http://testing.stackexchange.com">testing.stackexchange.com</a>.  This is a community driven Q and A site that uses the same technology as <a href="http://stackoverflow.com">Stack Overflow</a>, a popular site for coders looking for help.  Hunter&#8217;s version is aimed at testers, and already has an impressive database of answers and discussion.</li>
<li> <a href="http://hexawise.wordpress.com/2009/08/25/what-else-can-software-development-and-testing-learn-from-manufacturing-dont-forget-design-of-experiments/">8/25 What Else Can Software Development and Testing Learn from Manufacturing? Don’t Forget Design of Experiments (DoE)</a> links to a Tony Baer post comparing software development to the manufacturing industry. Hunter further focuses on the application of Design of Experiments, pointing out the extensive use of DoE in quality improvement initiatives in Toyota and Six Sigma.  These initiatives have yet to really penetrate the software development industry, despite some high profile successes (Google&#8217;s Website Optimizer and Youtube are mentioned).</li>
<li> <a href="http://hexawise.wordpress.com/2009/12/09/seen-10-million-times-and-not-corrected/">12/9 Defect Seen &gt;10 Million Times and Still not Corrected</a> has some interesting trivia about the grammatical error in <strong>Lands&#8217; End</strong> &#8211; something I hadn&#8217;t even noticed, and apparently the company hadn&#8217;t either until it was too late.  The real point of the post, however, is to point out another much more fixable grammatical error in Google&#8217;s Blogger software.  If there is only 1 comment on a post, it still says &#8220;1 comments&#8221;, instead of dropping the s.  A trivial defect, perhaps, but a very visible and easily fixed one.  It reminds me of something <a href="http://www.statsmadeeasy.net/author/mark/">Mark</a> always says about taking a break from work to sweep the dirt off the shop floor.  That is, you shouldn&#8217;t let the little inconsequential bugs pile up while you&#8217;re focused on the big ones.</li>
</ul>
<p>On a lighter note, in <a href="http://hexawise.wordpress.com/2009/08/25/famous-quotes-that-make-just-as-much-sense-when-you-substitute-powerpoint-for-power/">Famous Quotes that Make Just as Much Sense When You Substitute PowerPoint for Power</a> Justin linked to a <a href="http://jerrybrito.org/post/161582538/famous-quotes-that-make-just-as-much-sense-when-you?dsq=14766864#comment-14766864">post by Jerry Brito</a> about substituting PowerPoint for Power in famous quotes, adding a few of his own.  I&#8217;d also like to add:</p>
<blockquote><p>Kirk: &#8220;Spock, where the hell&#8217;s the PowerPoint you promised?&#8221;<br />
Spock: &#8220;One damn minute, Admiral.&#8221; &#8211;Star Trek IV</p></blockquote>
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