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Intermittent demand forecasts with neural networks [PDF]
, 2013 Intermittent demand appears when demand events occur only sporadically. Typically such time series have few observations making intermittent demand forecasting challenging.
Kourentzes, Nikolaos
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Forecasting intermittent demand [PDF]
, 2006 Methods for forecasting intermittent demand are compared using a large data-set from the UK Royal Air Force (RAF). Several important results are found.
Teunter, R H, Duncan, L
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The effects of integrating management judgement into intermittent demand forecasts [PDF]
, 2009 Empirical research suggests that quantitatively derived forecasts are very frequently judgementally adjusted. Nevertheless, little work has been conducted to evaluate the performance of these judgemental adjustments in a practical demand/sales context ...
Goodwin, Paul +4 more
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Forecasting in airforce supply chains [PDF]
, 2011 Purpose – The UK Chinook helicopter is a utility and attack helicopter being operated by the Royal Air Force (RAF). Its versatile nature is of enormous importance to the strategic capability of the RAF's operations.
Ojiako, Udechukwu +3 more
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On the bias of Croston''s forecasting method [PDF]
, 2006 Croston's forecasting method has been shown to be appropriate in dealing with intermittent demand items. The method, however, suffers from a positive bias as shown by Syntetos and Boylan (2001, 2005) who proposed a modification.
Teunter, R H, Sani, B
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Demand Forecasting Tool For Inventory Control Smart Systems
Journal of Communications Software and Systems, 2021 With the availability of data and the increasing capabilities of data processing tools, many businesses are leveraging historical sales and demand data to implement smart inventory management systems.
Fatima Zohra Benhamida +5 more
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Intermittent Demand Forecasting for Spare Parts Using Artificial Neural Networks and Deep Learning: Literature Review [PDF]
JES: Journal of Engineering SciencesForecasting Intermittent demand for spare parts is essential for enhancing inventory management, particularly in industries where unplanned equipment downtime and inventory holding costs are significant.
Omnia Nabil, Nahid Afia, T Ismail
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Spare Parts Demand Forecasting Method Based on Intermittent Feature Adaptation
Entropy, 2023 The demand for complex equipment aftermarket parts is mostly sporadic, showing typical intermittent characteristics as a whole, resulting in the evolution law of a single demand series having insufficient information, which restricts the prediction ...
Lilin Fan +4 more
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Comparison of selection and combination strategies for demand forecasting methods [PDF]
Production, 2020 Paper aims In this study, effective strategies to combine and select forecasting methods are proposed. In the selection strategy, the best performing forecasting method from a pool of methods is selected based on its accuracy, whereas the combination ...
Saymon Galvão Bandeira +3 more
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Deep learning-based approach for forecasting intermittent online sales
Discover Artificial Intelligence, 2023 Deep Neural Networks (DNN’s) present some of the leading applications of Artificial Intelligence (AI) which have proven suitability on various machine-learning use cases.
Yashar Ahmadov, Petri Helo
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