SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting hierarchical time series in supply chains: an empirical investigation
16 references·1 citing·41 second hop
Forecasting hierarchical time series in supply chains: an empirical investigation (2021)Forecasting hierarchical time series in s…Impact of COVID-19 on logistics systems and disruptions in food supply chain (2020)Impact of COVID-19 on logisti…Supply chain forecasting: Theory, practice, their gap and the future (2015)Supply chain forecasting: The…Fast computation of reconciled forecasts for hierarchical and grouped time series (2015)Fast computation of reconcile…Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts (2013)Measuring forecasting accurac…Optimal combination forecasts for hierarchical time series (2011)Optimal combination forecasts…An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis (2010)An aggregate–disaggregate int…Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series (2008)Rule induction for forecastin…Hierarchical forecasts for Australian domestic tourism (2008)Hierarchical forecasts for Au…Supply Chain Management. Strategy, Planning & Operation (2007)Supply Chain Management. Stra…The M3 competition: Statistical tests of the results (2004)The M3 competition: Statistic…Business logistics/supply chain management : planning, organizing, and controlling the supply chain (2004)Business logistics/supply cha…Journal of business forecasting (1996)Journal of business forecasti…Top-down or bottom-up: Aggregate versus disaggregate extrapolations (1992)Top-down or bottom-up: Aggreg…Disaggregation methods to expedite product line forecasting (1990)Disaggregation methods to exp…Is Aggregation Necessarily Bad? (1960)Is Aggregation Necessarily Ba…Forecasting principles and practiceForecasting principles and pr…Optimal product aggregation for sales and operations planning in mass customisation context (2023)Optimal product aggregation f…Production and inventory management (1983)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)‘Horses for Courses’ in demand forecasting (2014)Tourism forecasting: A review of methodological developments over the last decade (2018)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Another look at measures of forecast accuracy (2006)Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information (2015)Sustainable Supply Chains in the Age of AI and Digitization: Research Challenges and Opportunities (2019)Retail sales forecasting with meta-learning (2020)The M3-Competition: results, conclusions and implications (2000)Automatic Time Series Forecasting: The forecast Package for R (2008)Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization (2018)Retail forecasting: Research and practice (2019)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)International Journal of Production Research (1962)OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications (2020)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (2020)Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic (2021)Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies (2021)A reverse logistics decisions conceptual framework (2011)The impact of inventory management practice on firms’ competitiveness and organizational performance: Empirical evidence from micro and small enterprises in Ethiopia (2018)Sustainable packaging for supply chain management in the circular economy: A review (2019)Determinants of U.S. direct investment in the E.E.C. (1983)Heterogeneity and Aggregation (2005)Application of Analytical Hierarchy Process in Operations Management (1990)Application of Delphi method in selection of procurement systems for construction projects (2001)Predicting consumer product demands via Big Data: the roles of online promotional marketing and online reviews (2015)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)Facility location and supply chain management – A review (2008)A literature review and a case study of sustainable supply chains with a focus on metrics (2012)Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future (2014)
this work references cited by second hop

References

  • n.d.Forecasting principles and practice4,364 cited
  • 2007Supply Chain Management. Strategy, Planning & Operation1,131 cited
  • 2020Impact of COVID-19 on logistics systems and disruptions in food supply chain904 cited
  • 2011Optimal combination forecasts for hierarchical time series471 cited
  • 1960Is Aggregation Necessarily Bad?424 cited
  • 2015Supply chain forecasting: Theory, practice, their gap and the future331 cited
  • 2008Hierarchical forecasts for Australian domestic tourism244 cited
  • 1996Journal of business forecasting234 cited
  • 2004Business logistics/supply chain management : planning, organizing, and controlling the supply chain193 cited
  • 2013Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts193 cited
  • 2004The M3 competition: Statistical tests of the results180 cited
  • 2008Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series176 cited
  • 2015Fast computation of reconciled forecasts for hierarchical and grouped time series155 cited
  • 2010An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis154 cited
  • 1990

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Disaggregation methods to expedite product line forecasting
139 cited
  • 1992Top-down or bottom-up: Aggregate versus disaggregate extrapolations136 cited
  • Cited by

    • 2023Optimal product aggregation for sales and operations planning in mass customisation context10 cited