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A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm
15 references·16 citing·36 second hop
A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm (2010)A hybrid intelligent model for medium-ter…The US fashion industry: A supply chain review (2008)The US fashion industry: A su…Price and service competition of supply chains with risk-averse retailers under demand uncertainty (2008)Price and service competition…The role of forecasting on bullwhip effect for E-SCM applications (2007)The role of forecasting on bu…Exponential smoothing: The state of the art—Part II (2006)Exponential smoothing: The st…Another look at measures of forecast accuracy (2006)Another look at measures of f…25 years of time series forecasting (2006)25 years of time series forec…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…A comparative study of linear and nonlinear models for aggregate retail sales forecasting (2003)A comparative study of linear…The impact of forecasting model selection on the value of information sharing in a supply chain (2002)The impact of forecasting mod…Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention (2002)Modeling and forecasting tour…Forecasting aggregate retail sales: (2001)Forecasting aggregate retail …The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …Forecasting: Methods and Applications (1999)Forecasting: Methods and Appl…Forecasting methods and applications (1993)Forecasting methods and appli…Time series forecasting using neural networks vs. Box- Jenkins methodology (1991)Time series forecasting using…Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda (2024)Artificial intelligence and p…AI adoption in supply chain management: a systematic literature review (2024)AI adoption in supply chain m…Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry (2022)Deep Learning for Demand Fore…Retail sales forecasting with meta-learning (2020)Retail sales forecasting with…Effective Demand Forecasting Model Using Business Intelligence Empowered With Machine Learning (2020)Effective Demand Forecasting …A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches (2020)A data-driven forecasting app…Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends (2019)Googling Fashion: Forecasting…Demand forecasting in retail operations for fashionable products: methods, practices, and real case study (2019)Demand forecasting in retail …A location-inventory supply chain network model using two heuristic algorithms for perishable products with fuzzy constraints (2018)A location-inventory supply c…Sales forecasting by combining clustering and machine-learning techniques for computer retailing (2016)Sales forecasting by combinin…A survey on retail sales forecasting and prediction in fashion markets (2014)A survey on retail sales fore…A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting (2014)A Novel CEEMD-Based EELM Ense…Sales forecasting of computer products based on variable selection scheme and support vector regression (2013)Sales forecasting of computer…Sales Forecasting for Fashion Retailing Service Industry: A Review (2013)Sales Forecasting for Fashion…Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks (2012)Sales forecasting for compute…Applications of artificial intelligence in the apparel industry: a review (2011)Applications of artificial in…Time Series Analysis: Forecasting and Control (1977)Industrial and business forecasting methods (1982)Forecasting tourism demand: A review of empirical research (1995)Support vector regression with genetic algorithms in forecasting tourism demand (2006)COVID–19’s Impact on Stock Prices Across Different Sectors—An Event Study Based on the Chinese Stock Market (2020)Forecasting tourism recovery amid COVID-19 (2021)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010)Forecasting: theory and practice (2022)Aggregation and Linearity in the Provision of Intertemporal Incentives (1987)Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management: Strategy, Planning, and Operation (2003)Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case (2012)Supply chain risk management: present and future scope (2012)Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation (2017)Combining forecasts: A review and annotated bibliography (1989)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting seasonals and trends by exponentially weighted moving averages (2004)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)Artificial intelligence applications in supply chain management (2021)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)On the use of cross-validation for time series predictor evaluation (2012)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Time series forecasting of petroleum production using deep LSTM recurrent networks (2018)Automatic Time Series Forecasting: The forecast Package for R (2008)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent 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References

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  • 1991Time series forecasting using neural networks vs. Box- Jenkins methodology407 cited
  • 2008Price and service competition of supply chains with risk-averse retailers under demand uncertainty343 cited
  • 2008The US fashion industry: A supply chain review319 cited
  • 2001Forecasting aggregate retail sales:258 cited
  • 2003A comparative study of linear and nonlinear models for aggregate retail sales forecasting246 cited
  • 2002The impact of forecasting model selection on the value of information sharing in a supply chain225 cited
  • 2007The role of forecasting on bullwhip effect for E-SCM applications

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120 cited

Cited by

  • 2020Retail sales forecasting with meta-learning180 cited
  • 2014A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting138 cited
  • 2011Applications of artificial intelligence in the apparel industry: a review138 cited
  • 2019Demand forecasting in retail operations for fashionable products: methods, practices, and real case study131 cited
  • 2020Effective Demand Forecasting Model Using Business Intelligence Empowered With Machine Learning123 cited
  • 2024AI adoption in supply chain management: a systematic literature review117 cited
  • 2013Sales Forecasting for Fashion Retailing Service Industry: A Review114 cited
  • 2019Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends114 cited
  • 2013Sales forecasting of computer products based on variable selection scheme and support vector regression112 cited
  • 2024Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda108 cited
  • 2012Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks95 cited
  • 2018A location-inventory supply chain network model using two heuristic algorithms for perishable products with fuzzy constraints92 cited
  • 2020A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches91 cited
  • 2014A survey on retail sales forecasting and prediction in fashion markets88 cited
  • 2022Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry76 cited
  • 2016Sales forecasting by combining clustering and machine-learning techniques for computer retailing71 cited