<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Inventory and Demand Analysis</title>
	<atom:link href="http://www.resourcesystemsconsulting.com/blog/archives/37/feed" rel="self" type="application/rss+xml" />
	<link>http://www.resourcesystemsconsulting.com/blog/archives/37</link>
	<description>Thoughts on Supply Chain with a Lean and Six Sigma twist.</description>
	<lastBuildDate>Thu, 22 Sep 2011 06:55:48 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
	<item>
		<title>By: Jean-Philippe Roland</title>
		<link>http://www.resourcesystemsconsulting.com/blog/archives/37#comment-9835</link>
		<dc:creator>Jean-Philippe Roland</dc:creator>
		<pubDate>Fri, 26 Mar 2010 11:28:15 +0000</pubDate>
		<guid isPermaLink="false">http://www.resourcesystemsconsulting.com/blog/?p=37#comment-9835</guid>
		<description>Hello

I am trying to do an ABC analysis of a product portfolio based on volatility of demand.
Wich levels could delimited A, B and C?? because usig pareto 80% for A is very high...

What could be an acceptable volatility for product?

Thanks a lot

Bests regards

jean-philippe</description>
		<content:encoded><![CDATA[<p>Hello</p>
<p>I am trying to do an ABC analysis of a product portfolio based on volatility of demand.<br />
Wich levels could delimited A, B and C?? because usig pareto 80% for A is very high&#8230;</p>
<p>What could be an acceptable volatility for product?</p>
<p>Thanks a lot</p>
<p>Bests regards</p>
<p>jean-philippe</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Lean Sigma Supply Chain &#187; Cutting off the tail</title>
		<link>http://www.resourcesystemsconsulting.com/blog/archives/37#comment-8821</link>
		<dc:creator>Lean Sigma Supply Chain &#187; Cutting off the tail</dc:creator>
		<pubDate>Thu, 05 Mar 2009 17:09:01 +0000</pubDate>
		<guid isPermaLink="false">http://www.resourcesystemsconsulting.com/blog/?p=37#comment-8821</guid>
		<description>[...] ABC&#160;Analysis can be misleading; some times the Tail has pearls, or at least consequences if your blindly purge. [...]</description>
		<content:encoded><![CDATA[<p>[...] ABC&nbsp;Analysis can be misleading; some times the Tail has pearls, or at least consequences if your blindly purge. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Lawrence Loucka</title>
		<link>http://www.resourcesystemsconsulting.com/blog/archives/37#comment-5620</link>
		<dc:creator>Lawrence Loucka</dc:creator>
		<pubDate>Sun, 20 Aug 2006 13:52:16 +0000</pubDate>
		<guid isPermaLink="false">http://www.resourcesystemsconsulting.com/blog/?p=37#comment-5620</guid>
		<description>Michael,

You&#039;re right, ABC is a start.  Considering demand volatility attempts to get at stock out risk.  Another dimension is certainly lead time - how quickly can you recover from &quot;oh shit we&#039;re out&quot;.

In a recent publication on the Supply Chain Digest web site there is the 2006 WMS RFP which contains a short list of cycle count requirements.

Cycle count
1 Generate counts through errors
2 Generate counts by A/B/C
3 Download counts from host
4 Create counts by ranges of items, locations and price
4.1 Opportunistic cycle count during picking

Other examples of opportunistic counts include:

1 Putaway - while you are there count the bin above, below, left or right
2 Zero bin - systems says the bin is empty, is it?  This is a very quick count.
3 Negative stock

Regards,

Lawrence</description>
		<content:encoded><![CDATA[<p>Michael,</p>
<p>You&#8217;re right, ABC is a start.  Considering demand volatility attempts to get at stock out risk.  Another dimension is certainly lead time &#8211; how quickly can you recover from &#8220;oh shit we&#8217;re out&#8221;.</p>
<p>In a recent publication on the Supply Chain Digest web site there is the 2006 WMS RFP which contains a short list of cycle count requirements.</p>
<p>Cycle count<br />
1 Generate counts through errors<br />
2 Generate counts by A/B/C<br />
3 Download counts from host<br />
4 Create counts by ranges of items, locations and price<br />
4.1 Opportunistic cycle count during picking</p>
<p>Other examples of opportunistic counts include:</p>
<p>1 Putaway &#8211; while you are there count the bin above, below, left or right<br />
2 Zero bin &#8211; systems says the bin is empty, is it?  This is a very quick count.<br />
3 Negative stock</p>
<p>Regards,</p>
<p>Lawrence</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Michael McLaughlin</title>
		<link>http://www.resourcesystemsconsulting.com/blog/archives/37#comment-5619</link>
		<dc:creator>Michael McLaughlin</dc:creator>
		<pubDate>Sun, 20 Aug 2006 13:32:36 +0000</pubDate>
		<guid isPermaLink="false">http://www.resourcesystemsconsulting.com/blog/?p=37#comment-5619</guid>
		<description>Can we expand a bit here?  What are the &quot;accepted&quot; methods of cycle counting/analysis?  I have a comptroller who has insisted a locally purchased lock washer, valued at $0.003 each with relatively low consumption is an &quot;A&quot; item.   She has gone from complaining that we are behind in cycle counts to we count too much and waste resources.  Her last response to my questions of how she arrived at her classifications is &quot;I&#039;m the Comptroller, blah blah blah.&quot;

As a past Materials Manager with education under Ollie White and APICS, I learned the standard Pareto analysis is not always the best.  It is a starting point only.  Balancing this with risk and item type is best.  Something you can buy in town offers less risk to the business than something purchased over seas.  Therefore, something that would classically show up as a &quot;c&quot; might be elevated to a b or a under a situation where lots of inventory is a bad thing.

Anyway, do you know of widely accepted methods of ABC analysis and cycle counting that is more than the simple &quot;count the items on the daily cycle count list&quot;?  I&#039;m looking for descriptions of activity based cycle counting, or methods where lower than c classes are used for commodities such as fasteners, etc..

Any modern info would help.</description>
		<content:encoded><![CDATA[<p>Can we expand a bit here?  What are the &#8220;accepted&#8221; methods of cycle counting/analysis?  I have a comptroller who has insisted a locally purchased lock washer, valued at $0.003 each with relatively low consumption is an &#8220;A&#8221; item.   She has gone from complaining that we are behind in cycle counts to we count too much and waste resources.  Her last response to my questions of how she arrived at her classifications is &#8220;I&#8217;m the Comptroller, blah blah blah.&#8221;</p>
<p>As a past Materials Manager with education under Ollie White and APICS, I learned the standard Pareto analysis is not always the best.  It is a starting point only.  Balancing this with risk and item type is best.  Something you can buy in town offers less risk to the business than something purchased over seas.  Therefore, something that would classically show up as a &#8220;c&#8221; might be elevated to a b or a under a situation where lots of inventory is a bad thing.</p>
<p>Anyway, do you know of widely accepted methods of ABC analysis and cycle counting that is more than the simple &#8220;count the items on the daily cycle count list&#8221;?  I&#8217;m looking for descriptions of activity based cycle counting, or methods where lower than c classes are used for commodities such as fasteners, etc..</p>
<p>Any modern info would help.</p>
]]></content:encoded>
	</item>
</channel>
</rss>

