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Spare part demand forecasting for consumer goods using installed base information
16 references·7 citing·42 second hop
Spare part demand forecasting for consumer goods using installed base information (2016)Spare part demand forecasting for consume…Diffusion of Innovations 1 (2019)Diffusion of Innovations 1Spare parts management: Linking distributional assumptions to demand classification (2014)Spare parts management: Linki…On the use of installed base information for spare parts logistics: A review of ideas and industry practice (2012)On the use of installed base …A two-step method for forecasting spare parts demand using information on component repairs (2012)A two-step method for forecas…Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice (2011)Spare parts classification an…Optimizing reliability and service parts logistics for a time-varying installed base (2011)Optimizing reliability and se…Intermittent demand: Linking forecasting to inventory obsolescence (2011)Intermittent demand: Linking …Evolution of firms' product strategy over the life cycle of technology-based industries: A case study of the global mobile phone industry, 1980–2009 (2010)Evolution of firms' product s…Spare parts management: a review of forecasting research and extensions (2009)Spare parts management: a rev…Spare parts inventory control considering stochastic growth of an installed base (2008)Spare parts inventory control…Challenges for going downstream (2005)Challenges for going downstre…Diffusion of innovations. (2003)Diffusion of innovations.Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyOptimizer: IBM's Multi-Echelon Inventory System for Managing Service Logistics (1990)Optimizer: IBM's Multi-Echelo…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Introduction to Operation and Supply Chain Management for Entrepreneurship (2024)Introduction to Operation and…Advances in Spare Parts Classification and Forecasting for Inventory Control: A Literature Review (2021)Advances in Spare Parts Class…Optimal inventory control and design refresh selection in managing part obsolescence (2020)Optimal inventory control and…A spare parts inventory control model based on Prognostics and Health monitoring data under a fill rate constraint (2020)A spare parts inventory contr…Optimal remanufacturing and acquisition decisions in warranty service considering part obsolescence (2019)Optimal remanufacturing and a…A leading macroeconomic indicators’ based framework to automatically generate tactical sales forecasts (2019)A leading macroeconomic indic…Forecast of individual customer’s demand from a large and noisy dataset (2018)Forecast of individual custom…The (S − 1, S) Inventory Policy Under Compound Poisson Demand (1966)Metric: A Multi-Echelon Technique for Recoverable Item Control (1968)A Multi-Echelon Inventory Model for a Repairable Item with One-for-One Replenishment (1985)A multiple criteria decision model for information system project selection (1995)A decision model for interdependent information system project selection (1996)Research opportunities in preparing supply chains of essential goods for future pandemics (2021)Case Study Research: Design and Methods (1984)How to make a decision: The analytic hierarchy process (1990)Qualitative Data Analysis: An Expanded Sourcebook (1994)‘Horses for Courses’ in demand forecasting (2014)Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty (2016)OR in spare parts management: A review (2017)A New Product Growth for Model Consumer Durables (1969)A New Product Growth Model for Consumer Durables (1976)A New Product Growth for Model Consumer Durables (2004)Assessing sustainability of supply chains by double frontier network DEA: A big data approach (2017)Reshaping the Washing Machine Industry through Circular Economy and Product-Service System Business Models (2017)Intermittent demand forecasting for spare parts: A Critical review (2021)When Strangers Pass (2004)Configural Processing of Biological Motion in Human Superior Temporal Sulcus (2005)Single-hidden layer neural networks for forecasting intermittent demand (2016)The human factor in supply chain forecasting: A systematic review (2018)Comparison of statistical and machine learning methods for daily SKU demand forecasting (2020)Taming Black Swans: Challenges for Sustainable Strategic Crisis Management: Plenary Session (2021)Forecasting and Stock Control for Intermittent Demands (1972)An overview of recent literature on spare parts inventories (2002)The accuracy of intermittent demand estimates (2004)An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain (2019)The Strength of Weak Ties (1973)User Acceptance of Information Technology: Toward A Unified View1 (2003)Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs (2010)Diffusion of Innovations (2015)Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Testing the equality of prediction mean squared errors (1997)Consumption, Aggregate Wealth, and Expected Stock Returns (2001)Deep learning with long short-term memory networks for financial market predictions (2017)
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References

  • 2019Diffusion of Innovations 137,320 cited
  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 2003Diffusion of innovations.13,723 cited
  • 1994Comparing Predictive Accuracy5,495 cited
  • 1995Comparing Predictive Accuracy5,214 cited
  • 2011Intermittent demand: Linking forecasting to inventory obsolescence255 cited
  • 2011Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice249 cited
  • 1990Optimizer: IBM's Multi-Echelon Inventory System for Managing Service Logistics166 cited
  • 2009Spare parts management: a review of forecasting research and extensions163 cited
  • 2012On the use of installed base information for spare parts logistics: A review of ideas and industry practice111 cited
  • 2012A two-step method for forecasting spare parts demand using information on component repairs103 cited
  • 2010Evolution of firms' product strategy over the life cycle of technology-based industries: A case study of the global mobile phone industry, 1980–200996 cited
  • 2011Optimizing reliability and service parts logistics for a time-varying installed base80 cited
  • 2005Challenges for going downstream75 cited
  • 2014Spare parts management: Linking distributional assumptions to demand classification

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70 cited
  • 2008Spare parts inventory control considering stochastic growth of an installed base67 cited
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    • 2019Optimal remanufacturing and acquisition decisions in warranty service considering part obsolescence29 cited
    • 2020A spare parts inventory control model based on Prognostics and Health monitoring data under a fill rate constraint28 cited
    • 2021Advances in Spare Parts Classification and Forecasting for Inventory Control: A Literature Review24 cited
    • 2024Introduction to Operation and Supply Chain Management for Entrepreneurship21 cited
    • 2020Optimal inventory control and design refresh selection in managing part obsolescence20 cited