Demand forecasting for managers /

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Kolassa, Stephan (Egilea), Siemsen, Enno (Egilea)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2016.
Edizioa:First edition.
Saila:Supply and operations management collection.
Gaiak:
Sarrera elektronikoa:An electronic book accessible through the World Wide Web; click to view
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

MARC

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020 |a 9781606495032  |q e-book 
020 |z 9781606495025  |q paperback 
035 |a (BEP)4648346 
035 |a (OCoLC)957560168 
035 |a (CaBNVSL)swl00406795 
040 |a CaBNVSL  |b eng  |e rda  |c CaBNVSL  |d CaBNVSL 
050 4 |a HD30.27  |b .K653 2016 
082 0 4 |a 658.40355  |2 23 
100 1 |a Kolassa, Stephan.,  |e author. 
245 1 0 |a Demand forecasting for managers /  |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. 
530 |a Also available in print. 
538 |a Mode of access: World Wide Web. 
538 |a System requirements: Adobe Acrobat reader. 
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 
700 1 |a Siemsen, Enno.,  |e author. 
776 0 8 |i Print version:  |z 9781606495025 
830 0 |a Supply and operations management collection.  |x 2156-8200 
856 4 0 |u http://site.ebrary.com/lib/daystar/Doc?id=11249437  |z An electronic book accessible through the World Wide Web; click to view 
999 |c 198614  |d 198614