Adaptive exponential smoothing versus conventional approaches for lumpy demand forecasting: case of production planning for a manufacturing line

DOI10.1080/00207540600932046zbMath1126.90336OpenAlexW1994903021MaRDI QIDQ5428717

Rolando Quintana, Mark T. Leung

Publication date: 26 November 2007

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540600932046

zbMATH Keywords

Kalman filterdemand estimation for manufactured goodsproduction planning and forecasting

Mathematics Subject Classification ID

Production models (90B30)

Cites Work

• Recursive estimation of the observation and process noise covariances in online Kalman filtering
• Forecasting Applications of an Adaptive Multiple Exponential Smoothing Model
• Order overplanning with uncertain lumpy demand: A simplified theory
• Forecasting for Items with Intermittent Demand
• Forecasting and Stock Control for Intermittent Demands

This page was built for publication: Adaptive exponential smoothing versus conventional approaches for lumpy demand forecasting: case of production planning for a manufacturing line