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    <title>topic Simulation Program in Microsoft Integration with SAS</title>
    <link>https://communities.sas.com/t5/Microsoft-Integration-with-SAS/Simulation-Program/m-p/832074#M2729</link>
    <description>&lt;P&gt;&lt;STRONG&gt;&lt;U&gt;Simulation&lt;/U&gt;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;A food manufacturer is starting a new process which will take a raw piece of meat send it down a conveyor to one of two breader/batter machine and then all product will be regrouped together and sent through a single oven. Your job is to predict how much of the product in a 10000-piece batch will be below 160 degrees&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Assuming incoming product will weigh on average 250grams with a standard deviation of 25grams and is normally distributed.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Assuming product is randomly assigned to one of two breader/batter machines (50% to each machine)&lt;/LI&gt;&lt;LI&gt;Assume pickup tests accurately represent the weight pickup of each breader/bather process&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Assuming cooking tests accurately represent the final cook temperature at a given weight &amp;nbsp;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Assume the ovens and breader/bather machines are on “max” setting and cannot be adjusted&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Assume the given regression lines were accurately built.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;Build a DSS system that allows the initial product weight average to be changed to see the effect on the amount of undercooked ( Below 160 degree) product&lt;/P&gt;&lt;P&gt;The regression line to predict the product that has gone through brader/bather machine 1:&lt;/P&gt;&lt;P&gt;Endweight=1.247*Startweight-33.01 with a standard error of 4.415&lt;/P&gt;&lt;P&gt;The regression line to predict the product that has gone through breader/bather machine2:&lt;/P&gt;&lt;P&gt;Endweight =1,393*Startweight+5.316 with a standard error of 5.427&lt;/P&gt;&lt;P&gt;Regression line to predict cook temperature based on incoming product weight:&lt;/P&gt;&lt;P&gt;Temp=0.1216*Endweight+209.6 with a standard error of 5.658 (the negative sign is highlighted because it can be&lt;/P&gt;</description>
    <pubDate>Wed, 07 Sep 2022 04:59:25 GMT</pubDate>
    <dc:creator>jmex</dc:creator>
    <dc:date>2022-09-07T04:59:25Z</dc:date>
    <item>
      <title>Simulation Program</title>
      <link>https://communities.sas.com/t5/Microsoft-Integration-with-SAS/Simulation-Program/m-p/832074#M2729</link>
      <description>&lt;P&gt;&lt;STRONG&gt;&lt;U&gt;Simulation&lt;/U&gt;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;A food manufacturer is starting a new process which will take a raw piece of meat send it down a conveyor to one of two breader/batter machine and then all product will be regrouped together and sent through a single oven. Your job is to predict how much of the product in a 10000-piece batch will be below 160 degrees&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Assuming incoming product will weigh on average 250grams with a standard deviation of 25grams and is normally distributed.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Assuming product is randomly assigned to one of two breader/batter machines (50% to each machine)&lt;/LI&gt;&lt;LI&gt;Assume pickup tests accurately represent the weight pickup of each breader/bather process&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Assuming cooking tests accurately represent the final cook temperature at a given weight &amp;nbsp;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Assume the ovens and breader/bather machines are on “max” setting and cannot be adjusted&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Assume the given regression lines were accurately built.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;Build a DSS system that allows the initial product weight average to be changed to see the effect on the amount of undercooked ( Below 160 degree) product&lt;/P&gt;&lt;P&gt;The regression line to predict the product that has gone through brader/bather machine 1:&lt;/P&gt;&lt;P&gt;Endweight=1.247*Startweight-33.01 with a standard error of 4.415&lt;/P&gt;&lt;P&gt;The regression line to predict the product that has gone through breader/bather machine2:&lt;/P&gt;&lt;P&gt;Endweight =1,393*Startweight+5.316 with a standard error of 5.427&lt;/P&gt;&lt;P&gt;Regression line to predict cook temperature based on incoming product weight:&lt;/P&gt;&lt;P&gt;Temp=0.1216*Endweight+209.6 with a standard error of 5.658 (the negative sign is highlighted because it can be&lt;/P&gt;</description>
      <pubDate>Wed, 07 Sep 2022 04:59:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Microsoft-Integration-with-SAS/Simulation-Program/m-p/832074#M2729</guid>
      <dc:creator>jmex</dc:creator>
      <dc:date>2022-09-07T04:59:25Z</dc:date>
    </item>
    <item>
      <title>Re: Simulation Program</title>
      <link>https://communities.sas.com/t5/Microsoft-Integration-with-SAS/Simulation-Program/m-p/832101#M2730</link>
      <description>Calling &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt;</description>
      <pubDate>Wed, 07 Sep 2022 12:14:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Microsoft-Integration-with-SAS/Simulation-Program/m-p/832101#M2730</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2022-09-07T12:14:15Z</dc:date>
    </item>
    <item>
      <title>Re: Simulation Program</title>
      <link>https://communities.sas.com/t5/Microsoft-Integration-with-SAS/Simulation-Program/m-p/832105#M2731</link>
      <description>&lt;P&gt;The OP should define which products they have access to and what tools they want to use.&amp;nbsp; SAS Simulation Studio? The DATA step? SAS/IML?&amp;nbsp; The question is currently posted to the Solution--&amp;gt;Microsoft Community, so the product is unclear.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;This also looks like a homework or exam question. Many of us will offer hints but not post a complete solution.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 07 Sep 2022 12:25:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Microsoft-Integration-with-SAS/Simulation-Program/m-p/832105#M2731</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2022-09-07T12:25:41Z</dc:date>
    </item>
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