Demand Forecasting Models With Time Series and Random Forest

Author:

Tayali Halit Alper1ORCID

Affiliation:

1. Istanbul University, Turkey

Abstract

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.

Publisher

IGI Global

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