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Exponential smoothing forecasts: taming the bullwhip effect when demand is seasonal
16 references·1 citing·44 second hop
Exponential smoothing forecasts: taming the bullwhip effect when demand is seasonal (2022)Exponential smoothing forecasts: taming t…M5 accuracy competition: Results, findings, and conclusions (2022)M5 accuracy competition: Resu…The M5 competition: Background, organization, and implementation (2021)The M5 competition: Backgroun…The bullwhip effect: Progress, trends and directions (2015)The bullwhip effect: Progress…Bullwhip Effect Measurement and Its Implications (2012)Bullwhip Effect Measurement a…Forecasting with Exponential Smoothing (2008)Forecasting with Exponential …In Search of the Bullwhip Effect (2007)In Search of the Bullwhip Eff…Taming the bullwhip effect whilst watching customer service in a single supply chain echelon (2005)Taming the bullwhip effect wh…On the bullwhip and inventory variance produced by an ordering policy (2003)On the bullwhip and inventory…Measuring and avoiding the bullwhip effect: A control theoretic approach (2003)Measuring and avoiding the bu…Exponential smoothing with a damped multiplicative trend (2003)Exponential smoothing with a …A state space framework for automatic forecasting using exponential smoothing methods (2002)A state space framework for a…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…Dynamic analysis of an inventory and order based production control system (1982)Dynamic analysis of an invent…Optimal Properties of Exponentially Weighted Forecasts (1960)Optimal Properties of Exponen…On the Application of Servomechanism Theory in the Study of Production Control (1952)On the Application of Servome…Forecasting principles and practiceForecasting principles and pr…Simplifying tree-based methods for retail sales forecasting with explanatory variables (2023)Simplifying tree-based method…Time Series Analysis: Forecasting and Control (1977)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Toyota production system: beyond large-scale production (1998)Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain (2019)Ripple effect in the supply chain network: Forward and backward disruption propagation, network health and firm vulnerability (2020)A review on reinforcement learning algorithms and applications in supply chain management (2022)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Rational Expectations and the Theory of Price Movements (1961)Planning Production, Inventories, and Work Force. (1962)Econometric policy evaluation: A critique (1976)Trends and random walks in macroeconmic time series (1982)Inventory management and production planning and scheduling (1999)Designing and managing the supply chain : concepts, strategies, and case studies (2000)Exponential smoothing: The state of the art—Part II (2006)Application of machine learning techniques for supply chain demand forecasting (2007)Literature review on disruption recovery in the supply chain (2017)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)Output Fluctuations in the United States: What Has Changed since the Early 1980's?Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment (1989)Supply Chain Management Research and Production and Operations Management : Review, Trends, and Opportunities (2006)Information Transmission and the Bullwhip Effect: An Empirical Investigation (2012)Supply Chain Disruptions: Evidence from the Great East Japan Earthquake (2017)The M3-Competition: results, conclusions and implications (2000)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)A new metric of absolute percentage error for intermittent demand forecasts (2016)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Transients in linear systems (1943)Industrial dynamics modelling of supply chains (1996)Modelling the dynamics of supply chains (2000)Forecasting with artificial neural networks: (1998)Another look at measures of forecast accuracy (2006)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Forecast combinations: An over 50-year review (2022)Forecast evaluation for data scientists: common pitfalls and best practices (2022)Forecasting and operational research: a review (2008)Forecasting with temporal hierarchies (2017)Deep Learning for Time Series Forecasting: Tutorial and Literature Survey (2022)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
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References

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154 cited
  • 2021The M5 competition: Background, organization, and implementation143 cited
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    • 2023Simplifying tree-based methods for retail sales forecasting with explanatory variables40 cited