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Tag Archives for: "Intermittent demand"
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By Kim Sungil and Kim Heeyoung
In Article, IJF
Posted July 1, 2016

A new metric of absolute percentage error for intermittent demand forecasts

INT J FORECASTING, Volume 32, Issue 3, JUL-SEP 2016, Pages 669-679 The mean absolute percentage error (MAPE) is one of the most widely used measures of forecast accuracy, due to its advantages of [...]

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By Kolassa Stephan
In Article, IJF
Posted July 1, 2016

Evaluating predictive count data distributions in retail sales forecasting

INT J FORECASTING, Volume 32, Issue 3, JUL-SEP 2016, Pages 788-803 Massive increases in computing power and new database architectures allow data to be stored and processed at finer and finer [...]

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By Goodwin Paul
In Article, Foresight, Practical Articles
Posted July 1, 2015

When Forecasting in the Supply Chain Gets Tough

Foresight: The International Journal of Applied Forecasting, Issue 38, Summer 2015, Pages 5 – 8 Some forecasters might envy those who make demand forecasts for products that have been [...]

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By Morlidge Steve
In Article, Foresight, Practical Articles
Posted April 1, 2015

Measuring the Quality of Intermittent-Demand Forecasts: It’s Worse than We’ve Thought!

Foresight: The International Journal of Applied Forecasting, Issue 37, Spring 2015, Pages 37 – 42 In this eye-opening article, Steve Morlidge shows that when our demand histories are [...]

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By Prestwich S. D., Tarim S. A., Rossi R. and Hnich B.
In Article, IJF
Posted October 1, 2014

Forecasting intermittent demand by hyperbolic-exponential smoothing

INT J FORECASTING, Volume 30, Issue 4, OCT-DEC 2014, Pages 928-933 Croston’s method is generally viewed as being superior to exponential smoothing when the demand is intermittent, but it [...]

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By Snyder Ralph D., Ord J. Keith and Adrian Beaumont
In Article, IJF
Posted April 1, 2012

Forecasting the intermittent demand for slow-moving inventories: A modelling approach

INT J FORECASTING, Volume 28, Issue 2, APR-JUN 2012, Pages 485-496 Organizations with large-scale inventory systems typically have a large proportion of items for which demand is intermittent and [...]

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By Syntetos Aris, John Boylan and Ruud Teunter
In Article, Foresight, Practical Articles
Posted January 1, 2011

Classification for Forecasting and Inventory

Foresight: The International Journal of Applied Forecasting, Issue 20, Winter 2011, Pages 12 – 17 ABC classifications are commonly used to streamline a large number of SKUs into fewer, more [...]

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By Tashman Len
In Article, Foresight, Practical Articles
Posted June 1, 2006

Forecast-accuracy metrics for inventory control and intermittent demands

Foresight: The International Journal of Applied Forecasting, Issue 4, Jun-06, Pages 31 – 31 This special feature of Foresight examines the challenges in measuring forecast accuracy within [...]

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By Jim Hoover
In Article, Foresight, Practical Articles
Posted June 1, 2006

Measuring forecast accuracy: omissions in today’s forecasting engines and demand-planning software

Foresight: The International Journal of Applied Forecasting, Issue 4, Jun-06, Pages 32 – 35 In this article, Jim Hoover discusses: (i) Forecast error calculations for intermittent [...]

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By Thomas R. Willemain
In Article, Foresight, Practical Articles
Posted June 1, 2006

Forecast-accuracy metrics for intermittent demands: look at the entire distribution of demand

Foresight: The International Journal of Applied Forecasting, Issue 4, Jun-06, Pages 36 – 38 While most forecast-error metrics are averages of forecast errors, Tom argues that, for [...]

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