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Forecasting spare part demand with installed base information: A review
16 references·7 citing·33 second hop
Forecasting spare part demand with installed base information: A review (2018)Forecasting spare part demand with instal…OR in spare parts management: A review (2017)OR in spare parts management:…Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives (2016)Big Data for supply chain man…A global exploration of Big Data in the supply chain (2016)A global exploration of Big D…Intermittent demand forecasts with neural networks (2013)Intermittent demand forecasts…Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice (2011)Spare parts classification an…Intermittent demand: Linking forecasting to inventory obsolescence (2011)Intermittent demand: Linking …Winning in the aftermarket (2006)Winning in the aftermarketThe accuracy of intermittent demand estimates (2004)The accuracy of intermittent …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…On the bias of intermittent demand estimates (2001)On the bias of intermittent d…Maintenance spare parts logistics: Special characteristics and strategic choices (2001)Maintenance spare parts logis…Multicriteria inventory classification using a genetic algorithm (1998)Multicriteria inventory class…Forecasting for Items with Intermittent Demand (1996)Forecasting for Items with In…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Joint maintenance and spare-parts inventory models: a review and discussion of practical stock-keeping rules (2023)Joint maintenance and spare-p…Cross‐item learning for volatile demand forecasting: An intervention with predictive analytics (2021)Cross‐item learning for volat…Condition-based critical level policy for spare parts inventory management (2021)Condition-based critical leve…Optimal inventory control and design refresh selection in managing part obsolescence (2020)Optimal inventory control and…Elucidate structure in intermittent demand series (2020)Elucidate structure in interm…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…Supply Chain Management: More Than a New Name for Logistics (1997)Supply Chain Management: Implementation Issues and Research Opportunities (1998)Inventory management and production planning and scheduling (1999)Additive manufacturing technology in spare parts supply chain: a comparative study (2016)Time Series Analysis: Forecasting and Control (1977)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)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)Production and inventory management (1983)Forecasting and operational research: a review (2008)Retail forecasting: Research and practice (2019)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The M3-Competition: results, conclusions and implications (2000)A Survey of Forecast Error Measures (2013)Supply chain forecasting: Theory, practice, their gap and the future (2015)Lasting improvements in manufacturing performance: In search of a new theory (1990)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in supply chain management between 2010 and 2016: Insights to industries (2017)Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice (2017)Connecting circular economy and industry 4.0 (2019)Joint maintenance and inventory optimization systems: A review (2012)Forecasting: theory and practice (2022)Single-hidden layer neural networks for forecasting intermittent demand (2016)An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain (2019)Towards an operations strategy for product‐centric servitization (2009)Only the Brave: Product Innovation, Service Business Model Innovation, and Their Impact on Performance (2014)Servitization: A contemporary thematic review of four major research streams (2019)
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References

  • 1972Forecasting and Stock Control for Intermittent Demands761 cited
  • 2016Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives590 cited
  • 2002An overview of recent literature on spare parts inventories504 cited
  • 2004The accuracy of intermittent demand estimates498 cited
  • 2006Winning in the aftermarket462 cited
  • 2003A new approach to forecasting intermittent demand for service parts inventories395 cited
  • 2001On the bias of intermittent demand estimates363 cited
  • 2001Maintenance spare parts logistics: Special characteristics and strategic choices351 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
  • 1998Multicriteria inventory classification using a genetic algorithm237 cited
  • 2003Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model235 cited
  • 2013Intermittent demand forecasts with neural networks231 cited
  • 1996Forecasting for Items with Intermittent Demand199 cited
  • 2016

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A global exploration of Big Data in the supply chain
194 cited
  • 2017OR in spare parts management: A review189 cited
  • Cited by

    • 2020Elucidate structure in intermittent demand series54 cited
    • 2021Cross‐item learning for volatile demand forecasting: An intervention with predictive analytics44 cited
    • 2023Joint maintenance and spare-parts inventory models: a review and discussion of practical stock-keeping rules35 cited
    • 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
    • 2021Condition-based critical level policy for spare parts inventory management24 cited
    • 2020Optimal inventory control and design refresh selection in managing part obsolescence20 cited