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Author Kolassa, Stephan., author.

Title Demand forecasting for managers / Stephan Kolassa, Enno Siemsen.

Published New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2016.


Location Call No. Status
Edition First edition.
Physical description 1 online resource (158 pages)
Series Supply and operations management collection, 2156-8200
Supply and operations management collection. 2156-8200
Bibliography Includes bibliographical references (pages 147-153) and index.
Contents Part 1. Introduction -- 1. Introduction -- 2. Choice under uncertainty -- 3. A simple example -- Part 2. Forecasting basics -- 4. Know your time series -- 5. Time series decomposition -- Part 3. Forecasting models -- 6. Exponential smoothing -- 7. ARIMA models -- 8. Causal models and leading indicators -- 9. Count data and intermittent demands -- 10. Human judgment -- Part 4. Forecasting quality -- 11. Forecast quality measures -- 12. Forecasting competitions -- Part 5. Forecasting organization -- 13. Sales and operations planning -- 14. Forecasting hierarchies -- References -- Index.
Restrictions Access restricted to authorized users and institutions.
Summary Most decisions and plans in a firm require a forecast. Not matching supply with demand can make or break any business, and that is why forecasting is so invaluable. Forecasting can appear as a frightening topic with many arcane equations to master. We therefore start out from the very basics and provide a nontechnical overview of common forecasting techniques as well as organizational aspects of creating a robust forecasting process. We also discuss how to measure forecast accuracy to hold people accountable and guide continuous improvement. This book does not require prior knowledge of higher mathematics, statistics, or operations research. It is designed to serve as a first introduction to the nonexpert, such as a manager overseeing a forecasting group, or an MBA student who needs to be familiar with the broad outlines of forecasting without specializing in it.
Notes Title from PDF title page (viewed on August 29, 2016).
Local Note Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Other author Siemsen, Enno., author.
Subject Business forecasting.
sales and operations planning
decision making
service levels
statistics thinking
choice under uncertainty
forecast accuracy
intermittent demand
forecasting competition
judgmental forecasting
Electronic books.
ISBN 9781606495032 e-book
9781606495025 paperback