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	<title>Comments on: Building Demand Forecasting Models for ATM Machines &amp; the Time Value of Money Risk</title>
	<atom:link href="http://www.demand-planning.com/2009/12/29/building-demand-forecasting-models-for-atm-machines-the-time-value-of-money-risk/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.demand-planning.com/2009/12/29/building-demand-forecasting-models-for-atm-machines-the-time-value-of-money-risk/</link>
	<description>Viewpoints on Demand Planning, Forecasting, Sales &#38; Operations Planning (S&#38;OP), and the Supply Chain for Today&#039;s Challenging Marketplace</description>
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		<title>By: Dave Reilly</title>
		<link>http://www.demand-planning.com/2009/12/29/building-demand-forecasting-models-for-atm-machines-the-time-value-of-money-risk/comment-page-1/#comment-618</link>
		<dc:creator>Dave Reilly</dc:creator>
		<pubDate>Tue, 30 Nov 2010 21:06:16 +0000</pubDate>
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		<description>Sofura,

Please send your data and we will analyze it and post the model and results here.

Make sure you include the beginning date of the data, country of origin so we can provide dummy variables to account for the lead, contemporaneous and lag effects around holidays.

As for helping you and your model, we would need to see your model and the data to give any constructive critique.</description>
		<content:encoded><![CDATA[<p>Sofura,</p>
<p>Please send your data and we will analyze it and post the model and results here.</p>
<p>Make sure you include the beginning date of the data, country of origin so we can provide dummy variables to account for the lead, contemporaneous and lag effects around holidays.</p>
<p>As for helping you and your model, we would need to see your model and the data to give any constructive critique.</p>
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		<title>By: Sofura</title>
		<link>http://www.demand-planning.com/2009/12/29/building-demand-forecasting-models-for-atm-machines-the-time-value-of-money-risk/comment-page-1/#comment-612</link>
		<dc:creator>Sofura</dc:creator>
		<pubDate>Fri, 26 Nov 2010 09:50:34 +0000</pubDate>
		<guid isPermaLink="false">http://www.demand-planning.com/?p=587#comment-612</guid>
		<description>hello Sir...

I was doing forecasting how demand for cash withdrawal per day 
and I have a problem on the result in forecasts data.
The MAPE of model already has a small value (11-20%) and all the lag is independent in the model. but, i recognize residual normality was not achieved. 
can you give me directions how to decide the effective replenishment period in accordance with the forecast data held?

I am really waiting for your answer sir..
thank you ..</description>
		<content:encoded><![CDATA[<p>hello Sir&#8230;</p>
<p>I was doing forecasting how demand for cash withdrawal per day<br />
and I have a problem on the result in forecasts data.<br />
The MAPE of model already has a small value (11-20%) and all the lag is independent in the model. but, i recognize residual normality was not achieved.<br />
can you give me directions how to decide the effective replenishment period in accordance with the forecast data held?</p>
<p>I am really waiting for your answer sir..<br />
thank you ..</p>
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