Results 21 to 30 of about 2,005,953 (233)

Intermittent Demand Forecasting for Spare Parts Using Artificial Neural Networks and Deep Learning: Literature Review [PDF]

JES: Journal of Engineering Sciences
Forecasting 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
doaj   +1 more source

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, Kaparis, Konstantinos, Chipulu, Max, Downing, Matthew   +3 more
core   +5 more sources

Analysis on Energy Saving of Intermittent Operation Control of University Building Heating System [PDF]

E3S Web of Conferences, 2020
With the continuous expansion of college campuses, the heating area is increasing, and the demand for heating is also increasing. The heating system needs to face multiple pressures on the environment, resources, safety, and economy.
Pei Xiang
doaj   +1 more source

A Single-Product Multi-Period Inventory Routing Problem under Intermittent Demand

Information, 2023
Demand fluctuations and uncertainty bring challenges to inventory management, and intermittent demand patterns increase the risk of inventory backlogs and raise inventory holding costs.
Xin Song, Daofang Chang, Tian Luo
doaj   +1 more source

Derived Feature Engineering and ABC–XYZ Segmentation for Machine Learning-Based Forecasting of Intermittent Spare Parts Demand

Applied Sciences
Forecasting spare parts demand is challenging due to its intermittent, sparse, and highly irregular nature. Traditional inventory strategies, based on stable demand patterns, often lead to inefficiencies, including excess inventory and poor service ...
Zdravko Kunić, Vedran Dakić, Aleksandar Radovan, Filip Furko   +3 more
doaj   +1 more source

Unsupervised Anomaly Detection for Intermittent Sequences Based on Multi-Granularity Abnormal Pattern Mining

Entropy, 2023
In the actual maintenance of manufacturing enterprises, abnormal changes in after-sale parts demand data often make the inventory strategies unreasonable.
Lilin Fan, Jiahu Zhang, Wentao Mao, Fukang Cao   +3 more
doaj   +1 more source

Drawbacks of demand accuracy assessment models on the example of slow-moving spare parts in civil aviation

Aviation
Lots of researchers worldwide use a big variety of forecast models to predict demand. After running the forecast model, researcher always has a question if received prediction was accurate or not.
Danila Larin
doaj   +1 more source

Intermittent Time Series Demand Forecasting Using Dual Convolutional Neural Networks

Mendel
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, Patrick Brandtner, Zuzana Komínková Oplatková   +2 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

New Forecasting Technique for Intermittent Demand, Based on Stochastic Simulation. An Alternative to Croston’s Method

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