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Keyword: forecasting: applications
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1283 papers
in total
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Optimal policies for inventory usage, production and pricing of fashion goods over a selling season
2006,
Kogan K.
A short selling season and highly uncertain demands prior to the season characterize...
Nonparametric adaptive opportunity-based age replacement strategies
2006,
Coolen F.P.A.
We consider opportunity-based age replacement (OAR) using nonparametric predictive...
Completing projects according to plans: an earned-value improvement index
2006,
Cioffi D.F.
To finish in accordance with its originally planned duration or cost, a project that...
Forecasting net energy consumption using artificial neural network
2006,
Szen Adnan
The main goal of this study is to develop the equations for forecasting net energy...
Forecasting and stock obsolescence in whisky production
2006,
Grant David B.
A neglected aspect of inventory management is stock loss caused by breakage, theft,...
Forecasting: Trying to reason from hurricane season
2005,
Coleman B. Jay
Hurricane season presents an excellent illustration of a wide range of issues...
A mathematical programming approach to key-based election analysis
2006,
Dietz Dennis C.
This article describes a fast, easily implemented MILP algorithm which selects optimal...
The optimal frozen period in a dynamic production model
2006,
Wang Jin
We consider a periodic auditing model for manufacturers in a supply chain, who observe...
ARMS: An automated resource management system for British Telecommunications plc
2006,
Voudouris Christos
Accurate demand forecasting combined with resource planning is critical to a company's...
On the stock control performance of intermittent demand estimators
2006,
Syntetos Aris A.
The purpose of this paper is to assess the empirical stock control performance of...
Computing minimal forecast horizons: An integer programming approach
2006,
Sethi Suresh P.
In this paper, we use integer programming (IP) to compute minimal forecast horizons...
Demand forecast accuracy and performance of inventory policies under multi-level rolling schedule environments
2006,
Jeunet Jully
Our incentive is to assess the impact of demand forecast errors on the cost...
Predicting catches for the Lough Neagh (Northern Ireland) eel fishery based on stock inputs, effort and environmental variables
2006,
Allen M.
The Lough Neagh eel fishery is the largest remaining commercial source of wild...
Support vector machine as an efficient framework for stock market volatility forecasting
2006,
Gavrishchaka Valeriy V.
Advantages and limitations of the existing models for practical forecasting of stock...
Non-parametric regression methods
2006,
Ince Huseyin
The nature of the financial time series is complex, continuous interchange of...
Re-engineering of the forecasting process in a Greek wood-processing company
2006,
Tatsiopoulos I.P.
This paper presents the re-engineering of the forecasting process of a medium-size...
Short-term hourly traffic forecasts using Hong Kong annual traffic census
2006,
Chan K.S.
The need for acquiring the current-year traffic data is a problem for transport...
An exploratory study on the new product demand curve estimation using online auction data
2005,
Lee Byungtae
As the importance of time-based competition is increasing, information systems for...
The application of prediction capability and adaptive target control to the newspaper business
2006,
Pearson Michael
A newspaper wholesaler determines the optimal supply of newspapers, which minimises...
MOVIEMOD: An implementable decision support system for prerelease market evaluation of motion pictures
2000,
Eliashberg Jehoshua
In spite of the high financial stakes involved in marketing new motion pictures,...
Evaluating promotions in shopping environments: Decomposing sales response into attraction, conversion, and spending effects
2001,
Lam Shun Yin
Retailers' marketing objectives can be classified into three broad categories:...
A comparison between Fama and Frenchs's model and artificial neural networks in predicting the Chinese stock market
2005,
Schniederjans Marc J.
Evidence exists that emerging market stock returns are influenced by a different set...
Forecasting stock market movement direction with support vector machune
2005,
Nakamori Yoshiteru
Support vector machine (SVM) is a very specific type of learning algorithms...
A novel nonlinear ensemble forecasting model incorporating generalized linear autoregression and artificial neural networks for foreign exchange rates
2005,
Lai K.K.
In this study, we propose a novel nonlinear ensemble forecasting model integrating...
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