A predictive analytics approach for demand forecasting in the process industry

DOI10.1111/itor.12122zbMath1315.90001OpenAlexW1817865327MaRDI QIDQ5257891

Robert Blackburn, Rainer Göb, Inga-Lena Darkow, Benjamin Priese, Kristina Lurz

Publication date: 24 June 2015

Published in: International Transactions in Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/itor.12122

zbMATH Keywords

supply chain managementpredictive analyticschemical industrydemand forecasting under uncertainty

Mathematics Subject Classification ID

Inventory, storage, reservoirs (90B05) Case-oriented studies in operations research (90B90) Consumer behavior, demand theory (91B42)

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Cites Work

• Forecasting Sales by Exponentially Weighted Moving Averages
• Statistical modeling: The two cultures. (With comments and a rejoinder).
• Fuzzy decision modeling for supply chain management
• A fuzzy echelon approach for inventory management in supply chains.
• Case-based reasoning on images and signals.
• Forecasting Trends in Time Series

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