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A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts
16 references·10 citing·33 second hop
A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts (2006)A hybrid support vector machines and logi…A new approach of forecasting intermittent demand for spare parts inventories in the process industries (2006)A new approach of forecasting…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid ARIMA and support ve…Support vector machine with adaptive parameters in financial time series forecasting (2003)Support vector machine with a…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model (2003)Evaluation of forecasting met…A new approach to forecasting intermittent demand for service parts inventories (2003)A new approach to forecasting…An overview of recent literature on spare parts inventories (2002)An overview of recent literat…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Selecting the best periodic inventory control and demand forecasting methods for low demand items (1997)Selecting the best periodic i…Forecasting for Items with Intermittent Demand (1996)Forecasting for Items with In…Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method (1994)Forecasting intermittent dema…Estimation of Inventory Re-Order Levels Using the Bootstrap Statistical Procedure (1989)Estimation of Inventory Re-Or…Stock Control with Sporadic and Slow-Moving Demand (1984)Stock Control with Sporadic a…Operations Research in Inventory Management: A Review and Critique (1981)Operations Research in Invent…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Demand forecasting of spare parts with regression and machine learning methods: Application in a bus fleet (2023)Demand forecasting of spare p…Integrated demand forecasting and planning model for repairable spare part: an empirical investigation (2022)Integrated demand forecasting…A combined forecasting method for intermittent demand using the automotive aftermarket data (2022)A combined forecasting method…Forecasting intermittent demand for inventory management by retailers: A new approach (2021)Forecasting intermittent dema…Demand forecasting application with regression and artificial intelligence methods in a construction machinery company (2021)Demand forecasting applicatio…Intermittent demand forecasting for spare parts in the heavy-duty vehicle industry: a support vector machine model (2020)Intermittent demand forecasti…Demand Forecasting for Irregular Demands in Business Aircraft Spare Parts Supply Chains by using Artificial Intelligence (AI) (2017)Demand Forecasting for Irregu…Long-term business cycle forecasting through a potential intuitionistic fuzzy least-squares support vector regression approach (2012)Long-term business cycle fore…Revenue forecasting using a least-squares support vector regression model in a fuzzy environment (2011)Revenue forecasting using a l…A binary solution method for the multi-product newsboy problem with budget constraint (2008)A binary solution method for …Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Forecasting with artificial neural networks: (1998)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)Production and inventory management (1983)Inventory management and production planning and scheduling (1999)Forecasting and operational research: a review (2008)Intermittent demand: Linking forecasting to inventory obsolescence (2011)Retail forecasting: Research and practice (2019)The Cross-Section of Expected Stock Returns (1992)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Metric: A Multi-Echelon Technique for Recoverable Item Control (1968)Decision Systems for Inventory Management and Production Planning (1979)An Economic Order Quantity Model with Demand-Dependent Unit Production Cost and Imperfect Production Processes (1991)Dynamic Version of the Economic Lot Size Model (2004)Literature review of deteriorating inventory models by key topics from 2012 to 2015 (2016)Designing a neural network for forecasting financial and economic time series (1996)Financial time series forecasting using independent component analysis and support vector regression (2009)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Financial time series forecasting with multi-modality graph neural network (2021)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)25 years of time series forecasting (2006)Automatic Time Series Forecasting: The forecast Package for R (2008)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Joint maintenance and inventory optimization systems: A review (2012)Forecasting: theory and practice (2022)Forecasting for the ordering and stock-holding of spare parts (2004)Intermittent demand forecasts with neural networks (2013)
this work references cited by second hop

References

  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
  • 2004A hybrid ARIMA and support vector machines model in stock price forecasting1,000 cited
  • 1972Forecasting and Stock Control for Intermittent Demands761 cited
  • 2002An overview of recent literature on spare parts inventories504 cited
  • 2003A new approach to forecasting intermittent demand for service parts inventories395 cited
  • 1981Operations Research in Inventory Management: A Review and Critique326 cited
  • 1994Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method236 cited
  • 2003Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model235 cited
  • 1996Forecasting for Items with Intermittent Demand199 cited
  • 1984Stock Control with Sporadic and Slow-Moving Demand156 cited
  • 1997Selecting the best periodic inventory control and demand forecasting methods for low demand items153 cited

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

  • 1989Estimation of Inventory Re-Order Levels Using the Bootstrap Statistical Procedure117 cited
  • 2006A new approach of forecasting intermittent demand for spare parts inventories in the process industries111 cited
  • Cited by

    • 2011Revenue forecasting using a least-squares support vector regression model in a fuzzy environment85 cited
    • 2017Demand Forecasting for Irregular Demands in Business Aircraft Spare Parts Supply Chains by using Artificial Intelligence (AI)84 cited
    • 2021Demand forecasting application with regression and artificial intelligence methods in a construction machinery company62 cited
    • 2020Intermittent demand forecasting for spare parts in the heavy-duty vehicle industry: a support vector machine model60 cited
    • 2021Forecasting intermittent demand for inventory management by retailers: A new approach58 cited
    • 2023Demand forecasting of spare parts with regression and machine learning methods: Application in a bus fleet55 cited
    • 2008A binary solution method for the multi-product newsboy problem with budget constraint52 cited
    • 2022A combined forecasting method for intermittent demand using the automotive aftermarket data44 cited
    • 2012Long-term business cycle forecasting through a potential intuitionistic fuzzy least-squares support vector regression approach42 cited
    • 2022Integrated demand forecasting and planning model for repairable spare part: an empirical investigation18 cited