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160917s2014 nyu o 000 0 eng d |
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|a EBLCP
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|d OCLCQ
|d MERUC
|d CUY
|d OCLCF
|d ICG
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|d ZCU
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|d OCLCQ
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|a 9781606495032
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|a 1606495038
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|a (OCoLC)958559630
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|a HD30.27
|b .K653 2016
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|a 658.40355
|2 23
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|a UAMI
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|a Kolassa, Stephan.
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|a Demand Forecasting for Managers.
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|a New York :
|b Business Expert Press,
|c 2014.
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|a 1 online resource (171 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Print version record.
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|a Cover; Demand Forecasting for Managers; Contents; Acknowledgments; PART I: Introduction; CHAPTER 1: Introduction; CHAPTER 2: Choice Under Uncertainty; CHAPTER 3: A Simple Example; PART II: Forecasting Basics; CHAPTER 4: Know Your Time Series; CHAPTER 5: Time Series Decomposition; PART III: Forecasting Models; CHAPTER 6: Exponential Smoothing; CHAPTER 7: ARIMA Models; CHAPTER 8: Causal Models and Leading Indicators; CHAPTER 9: Count Data and Intermittent Demands; CHAPTER 10: Human Judgment; PART IV: Forecasting Quality; CHAPTER 11: Forecast Quality Measures.
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|a CHAPTER 12: Forecasting CompetitionsPART V: Forecasting Organization; CHAPTER 13: Sales and Operations Planning; CHAPTER 14: Forecasting Hierarchies; References; Index; Ad Page; Back Cover.
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|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.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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0 |
|a Business forecasting.
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650 |
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6 |
|a Prévision commerciale.
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650 |
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7 |
|a Business forecasting
|2 fast
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700 |
1 |
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|a Siemsen, Enno.
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776 |
0 |
8 |
|i Print version:
|a Kolassa, Stephan.
|t Demand Forecasting for Managers.
|d New York : Business Expert Press, ©2014
|z 9781606495025
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856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4648346
|z Texto completo
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938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL4648346
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994 |
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|a 92
|b IZTAP
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