Demand Forecasting

Dmitry Ivanov, Alexander Tsipoulanidis and Jörn Schönberger
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Dmitry Ivanov: Berlin School of Economics and Law
Alexander Tsipoulanidis: Berlin School of Economics and Law
Jörn Schönberger: Technical University of Dresden

Chapter 11 in Global Supply Chain and Operations Management, 2021, pp 341-357 from Springer

Abstract: Abstract In this chapter, demand forecasting methods are considered. In the beginning, the role of demand forecasting in supply chain and operations management is discussed. Next, the role of expert methods in forecasting is analyzed and the application of statistical methods for forecasting is demonstrated. Subsequently, it is shown how forecasts are calculated based on statistical methods, as well as how to understand and apply measures for forecast quality assessments. The chapter is enriched by an E-Supplement which provides additional Excel templates, tasks, and video streams.

Keywords: Demand forecasting; Forecast quality assessment; Forecasting methods; Moving average; Double exponential smoothing; Autoregressive integrated moving average (ARIMA); Data analytics (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-030-72331-6_11

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DOI: 10.1007/978-3-030-72331-6_11

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