Abstract
In this chapter, demand forecasting methods are considered. At 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 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.
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Bibliography
Chase CW (2013) Demand-driven forecasting: a structured approach to forecasting, 2nd edn. Wiley, Hoboken
Chopra S, Meindl P (2012) Supply chain management. Strategy, planning and operation, 5th edn. Pearson, Harlow
Günther H-O (2005) Supply chain management and advanced planning systems: a tutorial. In: Günther H-O, Mattfeld DC, Suhl L (eds) Supply chain management und logistik. Springer, Heidelberg, pp 3–40
Heizer J, Render B (2013) Operations management: sustainability and supply chain management, 11th edn. Pearson, Harlow
Render B, Stair RM, Hanna ME (2012) Quantitative analysis for management, 11th edn. Pearson, Harlow
Slack N, Chambers S, Johnston R (2010) Operations management, 6th edn. Pearson, Harlow
Stadtler H, Kilger C (2008) Supply chain management and advanced planning, 4th edn. Springer, Berlin
References for Sect. 11.1
Hoot NR et al (2008) Forecasting emergency department crowding: a direct event simulation. Ann Emerg Med 52(2):117–125
Sun Y, Heng BH, Seow YT, Seow E (2009) Forecasting daily attendances at an emergency department to aid resource planning. BMC Emerg Med 9:1
Thonemann U (2010) Operations management, 2nd edn. Pearson Studium, München
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Ivanov, D., Tsipoulanidis, A., Schönberger, J. (2019). Demand Forecasting. In: Global Supply Chain and Operations Management. Springer Texts in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-94313-8_11
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DOI: https://doi.org/10.1007/978-3-319-94313-8_11
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94312-1
Online ISBN: 978-3-319-94313-8
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