A combined forecasting method for intermittent demand using the automotive aftermarket data
Data Science and Management, 2022 Intermittent demand forecasting is an important challenge in the process of smart supply chain transformation, and accurate demand forecasting can reduce costs and increase efficiency for enterprises.
Xiaotian Zhuang, Ying Yu, Aihui Chen
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Event-preserving feature engineering for intermittent demand forecasting using SHOS [PDF]
Scientific ReportsIntermittent demand forecasting remains a persistent challenge in large-scale supply chains due to extreme sparsity, irregular demand occurrence, and highly variable demand magnitudes.
B. Sendhil Nathan +4 more
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An effective AI infused demand forecasting application for automotive spare parts industry: a real case from Turkey [PDF]
Scientific ReportsThe accuracy of demand forecasting in the automotive spare parts industry is critical to operational efficiency and financial performance. However, the irregular nature of spare parts demand makes forecasting processes quite complex.
Özge Albayrak Ünal +2 more
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Primacy of feature engineering over architectural complexity for intermittent demand forecasting [PDF]
Scientific ReportsIntermittent demand forecasting remains a fundamental challenge in large-scale supply chains due to extreme demand sparsity, irregular occurrence patterns, and highly variable demand magnitudes.
B. Sendhil Nathan +5 more
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INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES [PDF]
Applied Computer Science, 2018 Intermittent demand occurs randomly with changing values and a lot of periods having zero demand. Ad hoc intermittent demand forecasting techniques have been developed which take special intermittent demand characteristics into account.
Gamze Ogcu KAYA, Ali TURKYILMAZ
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Intermittent Demand Forecasting Using LSTM With Single and Multiple Aggregation
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Intermittent demand data is data with infrequent demand with varying number of demand sizes. Intermittent demand forecasting is useful for providing inventory control decisions. It is very important to produce accurate forecasts.
Fityan Azizi, Wahyu Catur Wibowo
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A modified Teunter-Syntetos-Babai method for intermittent demand forecasting
Journal of Management Science and Engineering, 2021 Intermittent demand refers to the specific demand pattern with frequent periods of zero demand. It occurs in a variety of industries including industrial equipment, automotive and specialty chemicals.
Youpeng Yang +4 more
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Dynamic Model Selection Based on Demand Pattern Classification in Retail Sales Forecasting
Mathematics, 2022 Many forecasting techniques have been applied to sales forecasts in the retail industry. However, no one prediction model is applicable to all cases.
Erjiang E, Ming Yu, Xin Tian, Ye Tao
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Performance tradeoffs for spare parts supply chains with additive manufacturing capability servicing intermittent demand [PDF]
Journal of Defense Analytics and Logistics, 2021 Purpose – The study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part demand patterns. Design/methodology/approach – This work evaluates various
Kyle C. McDermott +5 more
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PLoS ONE, 2021 Intermittency are a common and challenging problem in demand forecasting. We introduce a new, unified framework for building probabilistic forecasting models for intermittent demand time series, which incorporates and allows to generalize existing ...
Ali Caner Türkmen +3 more
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