Demand forecasting for managers
(eBook)
Author
Contributors
Siemsen, Enno., author.
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)
Status
More Details
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.
Staff View
Grouped Work ID
1be71778-2bcb-5732-0f29-440156f6a010-eng
Grouping Information
Grouped Work ID | 1be71778-2bcb-5732-0f29-440156f6a010-eng |
---|---|
Full title | demand forecasting for managers |
Author | kolassa stephan |
Grouping Category | book |
Last Update | 2022-06-07 21:23:19PM |
Last Indexed | 2024-05-01 02:34:51AM |
Book Cover Information
Image Source | syndetics |
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First Loaded | Sep 16, 2022 |
Last Used | Apr 25, 2024 |
Marc Record
First Detected | Aug 09, 2021 01:43:38 PM |
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Last File Modification Time | Nov 22, 2021 09:38:33 AM |
MARC Record
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100 | 1 | |a Kolassa, Stephan.,|e author. | |
245 | 1 | 0 | |a Demand forecasting for managers |h [eBook]/|c Stephan Kolassa, Enno Siemsen. |
250 | |a First edition. | ||
264 | 1 | |a New York, New York (222 East 46th Street, New York, NY 10017) :|b Business Expert Press,|c 2016. | |
300 | |a 1 online resource (158 pages) | ||
336 | |a text|2 rdacontent | ||
337 | |a computer|2 rdamedia | ||
338 | |a online resource|2 rdacarrier | ||
490 | 1 | |a Supply and operations management collection,|x 2156-8200 | |
504 | |a Includes bibliographical references (pages 147-153) and index. | ||
505 | 0 | |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. | |
506 | 1 | |a Access restricted to authorized users and institutions. | |
520 | 3 | |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. | |
700 | 1 | |a Siemsen, Enno.,|e author. | |
776 | 0 | 8 | |i Print version:|z 9781606495025 |
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830 | 0 | |a Supply and operations management collection.|x 2156-8200 | |
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856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/prescottcollege-ebooks/detail.action?docID=4648346|x Prescott College|y Prescott College users click here to access |
856 | 4 | 0 | |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 |