Results 11 to 20 of about 29,872 (257)

Forecast combinations for intermittent demand [PDF]

open access: yesJournal of the Operational Research Society, 2015
Intermittent demand is characterised by infrequent demand arrivals, where many periods have zero demand, coupled with varied demand sizes. The dual source of variation renders forecasting for intermittent demand a very challenging task. Many researchers have focused on the development of specialised methods for intermittent demand.
Fotios Petropoulos, Nikolaos Kourentzes
openaire   +3 more sources

Demand Forecasting of Spare Parts Using Artificial Intelligence: A Case Study of K-X Tanks

open access: yesMathematics, 2023
The proportion of the inventory range associated with spare parts is often considered in the industrial context. Therefore, even minor improvements in forecasting the demand for spare parts can lead to substantial cost savings.
Jae-Dong Kim   +2 more
doaj   +1 more source

Improving demand forecasting with LSTM by taking into account the seasonality of data [PDF]

open access: yesJournal of Applied Research on Industrial Engineering, 2020
Demand forecasting is a vital task for firms to manage the optimum quantity of raw material and products. The demand forecasting task can be formulated as a time series forecasting problem by measuring historical demand data at equal intervals.
Hossein Abbasimehr   +1 more
doaj   +1 more source

A new key performance indicator model for demand forecasting in inventory management considering supply chain reliability and seasonality

open access: yesSupply Chain Analytics, 2023
Forecasting demand and determining safety stocks are key aspects of supply chain planning. Demand forecasting involves predicting future demand for a product or service using historical data and other external and internal drivers.
Yasin Tadayonrad, Alassane Balle Ndiaye
doaj   +1 more source

Agile forecasting of dynamic logistics demand [PDF]

open access: yesTransport, 2008
The objective of this paper is to study the quantitative forecasting method for agile forecasting of logistics demand in dynamic supply chain environment. Characteristics of dynamic logistics demand and relative forecasting methods are analyzed. In order
X. Miao, B. Xi
doaj   +2 more sources

Traffic Demand Forecasting for Port Services

open access: yesPromet (Zagreb), 2011
Successful management of any sea port depends primarily on the harmonisation of transport supply and demand, whereas their incompatibility leads to a number of problems. The port, i.e.
Alen Jugović   +2 more
doaj   +1 more source

A Demand Forecasting Framework With Stagewise, Piecewise, and Pairwise Selection Techniques

open access: yesIEEE Access, 2021
We propose an innovative electricity demand forecasting framework based on three model-selection techniques to maximize the forecasting accuracy. In the framework, we forecast the day-ahead electricity demand every 15 minutes based on temperature and ...
Sooyeon Kim, Duehee Lee
doaj   +1 more source

FORECASTS OF PETROLEUM DEMAND

open access: yesTRANSPORT, 2007
Trends of consumption of petroleum products in Lithuania are analyzed. It is shown that these trends during the transition period to the market economy are not stable. Therefore, methods and models of the comparative analysis are proposed for the statistical modelling trends of consumption of petroleum products, comparing the relative indicators of ...
Kugelevičius, Jonas A.   +2 more
openaire   +5 more sources

Forecasting Methodology of Maritime Passenger Demand in a Tourist Destination

open access: yesPromet (Zagreb), 2009
Maritime passenger demand forecasting is a task that is almost always present in the development studies of passenger ports, both due to operational and investment requirements.
Davor Krasić, Petra Gatti
doaj   +1 more source

INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES [PDF]

open access: yesApplied 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

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