Demand Forecasting Models With Time Series and Random Forest


Tayalı H. A.

Driving Innovation and Productivity Through Sustainable Automation, Ardavan Amini,Stephen Bushell,Arshad Mahmood, Editör, IGI Global, Pennsylvania, ss.76-99, 2021

  • Yayın Türü: Kitapta Bölüm / Mesleki Kitap
  • Basım Tarihi: 2021
  • Yayınevi: IGI Global
  • Basıldığı Şehir: Pennsylvania
  • Sayfa Sayıları: ss.76-99
  • Editörler: Ardavan Amini,Stephen Bushell,Arshad Mahmood, Editör
  • İstanbul Üniversitesi Adresli: Evet

Özet

This chapter presents the recent methodological developments in demand management and demand forecasting subjects of the operations management. The background section provides detailed information on the domain of production management, operational analytics, and demand forecasting while providing introductory information on time series forecasting and related machine learning methodologies. The novel contribution of the chapter is the exploration developed in the solutions and recommendations section while examining the effect of stationarity in the time series forecasting methodologies of machine learning with improved benchmark results.