Demand Forecasting for Inventory Control

Nick T. Thomopoulos ()
Additional contact information
Nick T. Thomopoulos: Illinois Institute of Technology

Chapter 1 in Demand Forecasting for Inventory Control, 2015, pp 1-10 from Springer

Abstract: Abstract Management is continually faced with a fast-paced flow of business planning and decision-making situations. A forecast of some type is used as a basis to meet many of these needs, whereby, the more reliable the forecasts Forecasts , the better the outcome for the planning and decisions. Forecasting has plagued management for centuries, but now, with the advancement in computers, forecasting methods that previously were impossible to explore are currently achievable.

Keywords: Distribution Center; Forecast Method; Demand Forecast; Exponential Smoothing; Demand Pattern (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (4)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-11976-2_1

Ordering information: This item can be ordered from
http://www.springer.com/9783319119762

DOI: 10.1007/978-3-319-11976-2_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().