Forecasting

Learn to apply the knowledge gained in this course through a game using Excel as well as R for simple forecasting methods.
Format

Online
Course

Authors

Robert Goedegebuure & Henri Grolleman

This course is part of

Transforming Logistics with Analytics

Price

Free

About the course

This course provides an overview of forecasting in logistics, delving into its historical significance and the factors influencing its accuracy. It touches on the long-standing practice of forecasting, citing examples from various domains, including inaccuracies in IT industry predictions. The focus then shifts to business forecasting, outlining its objectives and emphasizing the importance of forecasting impact on decision-making. The text discusses the level of detail in forecasting, considering dimensions such as time, geography, and product. It categorizes forecasting based on time horizons and introduces qualitative and quantitative forecasting methods. The distinction between qualitative methods, involving expert opinions, and quantitative methods, utilizing numerical data and time series analysis, is highlighted. The importance of past patterns in quantitative forecasting is emphasized.

You learn to apply the knowledge gained in this course through a game using Excel as well as R for simple forecasting methods.

Course Lessons

Robert Goedegebuure

Robert Goedegebuure is, among other positions, researcher at the research groups Logistics & Alliances and Center of International Business Research at HAN University of Applied Sciences.

Henri Grolleman

Henri Grolleman is a lecturer in data and logistics in the Logistics Management program at Windesheim University. With extensive practical experience at major logistics service providers and manufacturers, he has insight into logistics and how data-driven work can assist and enhance logistical processes. In this digital publication, he has been primarily involved in the module focusing on forecasting.