Results 1 to 10 of about 11,007,356 (93)
Managing slow-moving item: a zero-inflated truncated normal approach for modeling demand [PDF]
PeerJ Computer Science, 2020 This paper proposes a slow-moving management method for a system using of intermittent demand per unit time and lead time demand of items in service enterprise inventory models.
Fernando Rojas +4 more
doaj +3 more sources
Forecasting extremely high ischemic stroke incidence using meteorological time serie. [PDF]
PLoS ONEMotivationThe association between weather conditions and stroke incidence has been a subject of interest for several years, yet the findings from various studies remain inconsistent. Additionally, predictive modelling in this context has been infrequent.
Lucia Babalova +12 more
doaj +2 more sources
Inventory Improvement in Tyre Retail through Demand Forecasting
Engineering Proceedings, 2023 The aim of this study is to develop the inventory planning system of a Portuguese tyre retailer based on forecasting sales models. Using sales history up to 2020, tyres were grouped into three levels of sales aggregation and different quantitative ...
Diana Neves +2 more
doaj +1 more source
Modeling digital camera monitoring count data with intermittent zeros for short-term prediction
Heliyon, 2022 Digital camera monitoring has revolutionised survey designs in many fields, as an important source of information. The extended sampling coverage offered by this monitoring scheme makes it preferable compared to other traditional methods of survey ...
E. Afrifa-Yamoah, U.A. Mueller
doaj +1 more source
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
doaj +1 more source
Acta Universitatis Lodziensis. Folia Oeconomica, 2018 The main aim of the article is to present a new forecasting technique, applicable in case of intermittent demand. To present properties of this new technique, the accuracy of the predictions generated by the Croston’s method and by the author’s method ...
Mariusz Doszyń
doaj +1 more source
Demand Forecasting in the Automotive Industry: A Systematic Literature Review
ForecastingThe automobile industry is one of the world’s largest manufacturing sectors and a key contributor to economic growth. Demand forecasting plays a critical role in supply chain management within the automotive sector.
Nehalben Ranabhatt +3 more
doaj +1 more source
Tehnički GlasnikThis research introduces a digital planning method tailored to intermittent demand, leveraging simulation-based optimization to select and parameterize forecasting techniques for individual items.
Alexander Schmid +3 more
doaj +1 more source
Experimental Physiology, Volume 111, Issue 8, Page 3742-3752, 1 August 2026.Abstract Type 2 diabetes mellitus (T2DM) is associated with chronic systemic and cardiac inflammation, contributing to the development of diabetic cardiomyopathy. The mitochondrial‐derived peptide mitochondrial open reading frame of the 12S rRNA type‐C (MOTS‐c) has emerged as a promising regulator of metabolic and inflammatory pathways.
Aimee R. Mills +3 more
wiley +1 more source
Substrate‐specific mitochondrial dysfunction and metabolomic profiles in type 2 diabetic rat hearts
Experimental Physiology, Volume 111, Issue 8, Page 3635-3647, 1 August 2026.Abstract Type 2 diabetes (T2D) greatly alters cardiac fuel handling, yet how mitochondrial function adapts to the diabetic substrate environment remains unclear. This study investigated substrate‐specific cardiac mitochondrial bioenergetics from a T2D rat model induced by a high‐fat diet and low‐dose streptozotocin.
Toan Pham
wiley +1 more source