Results 11 to 20 of about 394,967 (298)
Supply 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
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TRANSPORT, 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
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Agile forecasting of dynamic logistics demand [PDF]
Transport, 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
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A Demand Forecasting Framework With Stagewise, Piecewise, and Pairwise Selection Techniques
IEEE 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
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Traffic Demand Forecasting for Port Services
Promet (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
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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
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A hybrid Autoformer framework for electricity demand forecasting
Energy Reports, 2023 Electricity demand forecasting is of great significance to the electricity system and residents’ life, but it is difficult to forecast the electricity demand series because of the influence of cyclical factors.
Ziqian Wang +5 more
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Forecasting Methodology of Maritime Passenger Demand in a Tourist Destination
Promet (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
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Energies, 2020 Accurate forecasting of the energy demand is crucial for the rational formulation of energy policies for energy management. In this paper, a novel ensemble forecasting model based on the artificial bee colony (ABC) algorithm for the energy demand was ...
Jun Hao, Xiaolei Sun, Qianqian Feng
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Forecast combinations for intermittent demand [PDF]
Journal 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
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