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A note on the forecast performance of temporal aggregation
13 references·1 citing·36 second hop
A note on the forecast performance of temporal aggregation (2014)A note on the forecast performance of tem…Improving forecasting by estimating time series structural components across multiple frequencies (2014)Improving forecasting by esti…Demand forecasting by temporal aggregation (2013)Demand forecasting by tempora…Forecast horizon aggregation in integer autoregressive moving average (INARMA) models (2011)Forecast horizon aggregation …Density Forecasting of Intraday Call Center Arrivals Using Models Based on Exponential Smoothing (2011)Density Forecasting of Intrad…An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis (2010)An aggregate–disaggregate int…A measure of bullwhip effect in supply chains with a mixed autoregressive-moving average demand process (2007)A measure of bullwhip effect …Forecasting demand from heterogeneous customers (2006)Forecasting demand from heter…Exponential smoothing: The state of the art—Part II (2006)Exponential smoothing: The st…A model for selecting the appropriate level of aggregation in forecasting processes (2006)A model for selecting the app…Exponential smoothing with a damped multiplicative trend (2003)Exponential smoothing with a …Supply chain management (2002)Supply chain managementProduction and Operations Analysis (1992)Production and Operations Ana…Forecasting Trends in Time Series (1985)Forecasting Trends in Time Se…Supply chain forecasting: Theory, practice, their gap and the future (2015)Supply chain forecasting: The…Forecasting and Stock Control for Intermittent Demands (1972)The accuracy of intermittent demand estimates (2004)Another look at measures of forecast accuracy (2006)Forecasting: theory and practice (2022)M5 accuracy competition: Results, findings, and conclusions (2022)Exponential smoothing: The state of the art (1985)Forecasting methods and applications (1993)The M3-Competition: results, conclusions and implications (2000)25 years of time series forecasting (2006)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment (1989)Econometric Models and Economic Forecasts (1990)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)An improved demand forecasting method to reduce bullwhip effect in supply chains (2013)The bullwhip effect: Progress, trends and directions (2015)A big data driven framework for demand-driven forecasting with effects of marketing-mix variables (2019)A General Class of Holt-Winters Type Forecasting Models (1982)Principles of Forecasting (2001)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting seasonals and trends by exponentially weighted moving averages (2004)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)The Combination of Forecasts (1969)Automatic Time Series Forecasting: The forecast Package for R (2008)The Value of Information Sharing in a Two-Level Supply Chain (2000)Automotive OEM Demand Forecasting: A Comparative Study of Forecasting Algorithms and Strategies (2021)Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management: Strategy, Planning, and Operation (2003)Retail forecasting: Research and practice (2019)Artificial intelligence applications in supply chain management (2021)The Distribution Free Newsboy Problem: Review and Extensions (1993)Channel Dynamics Under Price and Service Competition (2000)Facility location under uncertainty: a review (2006)Introduction to the Special Section on “Optimizing Risk Management: Methods and Tools” (2009)The effects of technological turbulence and breadth on supply chain technology acceptance and adoption (2010)The strategies of supply chain risk management – a synthesis and classification (2016)
this work references cited by second hop

References

  • 1992Production and Operations Analysis1,221 cited
  • 2006Exponential smoothing: The state of the art—Part II984 cited
  • 1985Forecasting Trends in Time Series413 cited
  • 2003Exponential smoothing with a damped multiplicative trend308 cited
  • 2014Improving forecasting by estimating time series structural components across multiple frequencies184 cited
  • 2010An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis154 cited
  • 2007A measure of bullwhip effect in supply chains with a mixed autoregressive-moving average demand process97 cited
  • 2002Supply chain management77 cited
  • 2013Demand forecasting by temporal aggregation75 cited
  • 2011Density Forecasting of Intraday Call Center Arrivals Using Models Based on Exponential Smoothing64 cited
  • 2006Forecasting demand from heterogeneous customers63 cited
  • 2006A model for selecting the appropriate level of aggregation in forecasting processes46 cited
  • 2011Forecast horizon aggregation in integer autoregressive moving average (INARMA) models39 cited

Cited by

  • 2015Supply chain forecasting: Theory, practice, their gap and the future372 cited

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