Demand forecasting for managers
(eBook)

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Average Rating
Contributors
Published
New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2016.
Edition
First edition.
Physical Desc
1 online resource (158 pages)
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Format
eBook
Language
English
ISBN
9781606495032

Notes

Bibliography
Includes bibliographical references (pages 147-153) and index.
Restrictions on Access
Access restricted to authorized users and institutions.
Description
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.

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Citations

APA Citation, 7th Edition (style guide)

Kolassa, S., & Siemsen, E. (2016). Demand forecasting for managers (First edition.). Business Expert Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Kolassa, Stephan. and Enno., Siemsen. 2016. Demand Forecasting for Managers. Business Expert Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Kolassa, Stephan. and Enno., Siemsen. Demand Forecasting for Managers Business Expert Press, 2016.

MLA Citation, 9th Edition (style guide)

Kolassa, Stephan.,, and Enno. Siemsen. Demand Forecasting for Managers First edition., Business Expert Press, 2016.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
1be71778-2bcb-5732-0f29-440156f6a010-eng
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Grouping Information

Grouped Work ID1be71778-2bcb-5732-0f29-440156f6a010-eng
Full titledemand forecasting for managers
Authorkolassa stephan
Grouping Categorybook
Last Update2022-06-07 21:23:19PM
Last Indexed2024-05-01 02:34:51AM

Book Cover Information

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First LoadedSep 16, 2022
Last UsedApr 25, 2024

Marc Record

First DetectedAug 09, 2021 01:43:38 PM
Last File Modification TimeNov 22, 2021 09:38:33 AM

MARC Record

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504 |a Includes bibliographical references (pages 147-153) and index.
5050 |a 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.
5061 |a Access restricted to authorized users and institutions.
5203 |a 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.
588 |a Title from PDF title page (viewed on August 29, 2016).
650 0|a Business forecasting.
653 |a forecasting
653 |a sales and operations planning
653 |a decision making
653 |a service levels
653 |a statistics thinking
653 |a choice under uncertainty
653 |a forecast accuracy
653 |a intermittent demand
653 |a forecasting competition
653 |a judgmental forecasting
655 4|a Electronic books.
7001 |a Siemsen, Enno.,|e author.
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830 0|a Supply and operations management collection.|x 2156-8200
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85640|u http://ebookcentral.proquest.com/lib/prescottcollege-ebooks/detail.action?docID=4648346|x Prescott College|y Prescott College users click here to access
85640|u http://ebookcentral.proquest.com/lib/yln-ebooks/detail.action?docID=4648346|x Yavapai Library Network|y All other users click here to access
945 |a E-Book