Robust Interval Prediction of Intermittent Demand for Spare Parts Based on Tensor Optimization [PDF]
Sensors, 2023 Demand for spare parts, which is triggered by element failure, project schedule and reliability demand, etc., is a kind of sensing data to the aftermarket service of large manufacturing enterprises.
Kairong Hong +4 more
doaj +2 more sources
Markov approach for inventory control with meta-heuristics in intermittent demand environment. [PDF]
PLoS ONEDemand variability directly affects inventory management. The variability of intermittent demand causes high lost sales or holding costs. While lost sales reduce customer satisfaction, keeping excessive stock also creates high costs for companies.
Ferhat Yuna +2 more
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Personalized sirolimus regimen for vascular malformations: a retrospective analysis of VASE cohort [PDF]
Orphanet Journal of Rare DiseasesBackground The mTOR inhibitor Sirolimus was shown to improve symptoms in patients with slow-flow vascular malformations, but long-term continuous use is limited by cumulative toxicity.
Emmanuel Seront +4 more
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
The Influence of Repair Quality on Aircraft Spare Part Demand Variability
Aerospace, 2023 Accurate estimation of spare part demand is challenging in the case of intermittent or lumpy demand, characterised by infrequent demand occurrence and variability in demand size.
Lars M. Heijenrath, Wim J. C. Verhagen
doaj +1 more source