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State-space ARIMA for supply-chain forecasting
16 references·1 citing·33 second hop
State-space ARIMA for supply-chain forecasting (2019)State-space ARIMA for supply-chain foreca…A reliable decision support system for fresh food supply chain management (2017)A reliable decision support s…Supply chain forecasting: Theory, practice, their gap and the future (2015)Supply chain forecasting: The…Forecast combinations for intermittent demand (2014)Forecast combinations for int…Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts (2013)Measuring forecasting accurac…The tourism forecasting competition (2010)The tourism forecasting compe…Forecasting with Exponential Smoothing (2008)Forecasting with Exponential …Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Another look at measures of forecast accuracy (2006)Another look at measures of f…Taming the bullwhip effect whilst watching customer service in a single supply chain echelon (2005)Taming the bullwhip effect wh…On the stock control performance of intermittent demand estimators (2005)On the stock control performa…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …ARMA Models and the Box-Jenkins Methodology (1997)ARMA Models and the Box-Jenki…Forecasting practice: A review of the empirical literature and an agenda for future research (1996)Forecasting practice: A revie…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Complex exponential smoothing (2022)Complex exponential smoothingCombining forecasts: A review and annotated bibliography (1989)25 years of time series forecasting (2006)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Macroeconomics and Reality (1980)Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction (2011)New developments in tourism and hotel demand modeling and forecasting (2017)Kaggle forecasting competitions: An overlooked learning opportunity (2020)The Combination of Forecasts (1969)Exponential smoothing: The state of the art (1985)Combining forecasts: A review and annotated bibliography (1990)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Forecasting methods and applications (1993)Time Series Analysis: Forecasting and Control. (1978)Trends and random walks in macroeconmic time series (1982)Which Ad Works, When, Where, and how Often? Modeling the Effects of Direct Television Advertising (2000)A comprehensive review on multiple hybrid deep learning approaches for stock prediction (2022)A convolutional neural network based approach to financial time series prediction (2022)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management: Strategy, Planning, and Operation (2003)Literature review: Strategic network optimization models in waste reverse supply chains (2018)Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion (2020)Machine learning demand forecasting and supply chain performance (2020)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Generalized autoregressive conditional heteroskedasticity (1986)Forecasting and operational research: a review (2008)Forecasting with temporal hierarchies (2017)Deep Learning for Time Series Forecasting: Tutorial and Literature Survey (2022)Using daily stock returns (1985)
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References

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  • 2006Another look at measures of forecast accuracy5,736 cited
  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
  • 2000The M3-Competition: results, conclusions and implications1,700 cited
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  • 2008Forecasting with Exponential Smoothing1,040 cited
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  • 2013Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts193 cited
  • 2005Taming the bullwhip effect whilst watching customer service in a single supply chain echelon154 cited
  • 2005On the stock control performance of intermittent demand estimators149 cited
  • 2014Forecast combinations for intermittent demand129 cited
  • 1996Forecasting practice: A review of the empirical literature and an agenda for future research

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123 cited
  • 2017A reliable decision support system for fresh food supply chain management81 cited
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    • 2022Complex exponential smoothing37 cited