Results 21 to 30 of about 2,281,992 (231)

Inventory Improvement in Tyre Retail through Demand Forecasting

open access: yesEngineering 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

Intermittent demand forecasting for medical consumables with short life cycle using a dynamic neural network during the COVID-19 epidemic

open access: yesHealth Informatics Journal, 2020
Accurate demand forecasting is always critical to supply chain management. However, many uncertain factors in the market make this issue a huge challenge.
Peipei Liu
doaj   +1 more source

Forecasting and Operational Research : A Review [PDF]

open access: yes, 2008
From its foundation, operational research (OR) has made many substantial contributions to practical forecasting in organizations. Equally, researchers in other disciplines have influenced forecasting practice.
Nikolopoulos, K   +3 more
core   +5 more sources

Modeling digital camera monitoring count data with intermittent zeros for short-term prediction

open access: yesHeliyon, 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

Precision and Reliability of Forecasts Performance Metrics

open access: yesForecasting, 2022
The selection of an accurate performance metric is highly important to evaluate the quality of a forecasting method. This evaluation may help to select between different forecasting tools of forecasting outputs, and then support many decisions within a ...
Philippe St-Aubin, Bruno Agard
doaj   +1 more source

Improving forecasting by estimating time series structural components across multiple frequencies [PDF]

open access: yes, 2014
Identifying the appropriate time series model to achieve good forecasting accuracy is a challenging task. We propose a novel algorithm that aims to mitigate the importance of model selection, while increasing accuracy.
Trapero Arenas, J.R   +8 more
core   +4 more sources

Determination of the Safety Stock for Intermittent Demand: the Grey and Hybrid Theories [PDF]

open access: yesInternational Journal of Industrial Engineering and Production Research, 2022
This study seeks to introduce the influential factors in controlling and dealing with uncertainty in intermittent demand. Hybrid forecasting and Grey Theory, due to their potential in facing complex nature, insufficient data, have been used ...
Fatemeh Faghidian   +2 more
doaj  

Robust Interval Prediction of Intermittent Demand for Spare Parts Based on Tensor Optimization

open access: yesSensors, 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   +1 more source

Intermittent Time Series Demand Forecasting Using Dual Convolutional Neural Networks

open access: yesMendel
Forecasting intermittent demands is challenging due to their irregular and unpredictable demand pattern. This makes the businesses unprepared for upcoming demands, where the conventional methods often fail to predict the demand occurrence pattern ...
Sina Mirshahi   +2 more
doaj   +1 more source

Rush order containment of critical drugs in ICUs.

open access: yesPLoS ONE, 2022
The recent SARS CoV-02 pandemic has put enormous pressure on intensive care staff, making it imperative to relieve them of repetitive tasks with little added value such as drug replenishment.
Paola Cappanera   +3 more
doaj   +1 more source

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