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	<title>production efficiency &#8211; BIOENGINEER.ORG</title>
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		<title>Simple statistical models hold their own in forecasting footwear factory output</title>
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		<pubDate>Tue, 27 Oct 2026 10:26:04 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[ARIMA]]></category>
		<category><![CDATA[Diebold-Mariano test]]></category>
		<category><![CDATA[ETS model]]></category>
		<category><![CDATA[exponential smoothing]]></category>
		<category><![CDATA[footwear manufacturing]]></category>
		<category><![CDATA[forecasting]]></category>
		<category><![CDATA[Industry 4.0]]></category>
		<category><![CDATA[linear regression]]></category>
		<category><![CDATA[pairs per hour]]></category>
		<category><![CDATA[production efficiency]]></category>
		<category><![CDATA[Sustainable manufacturing]]></category>
		<category><![CDATA[time series analysis]]></category>
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					<description><![CDATA[A study of 34 real footwear production observations found ARIMA delivered the most accurate short-term forecasts of pairs per hour, outperforming linear regression and Holt's exponential smoothing.]]></description>
		
		
		
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