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Demand-driven forecasting [[electronic resource] ] : a structured approach to forecasting / / Charles Chase



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Autore: Chase Charles Visualizza persona
Titolo: Demand-driven forecasting [[electronic resource] ] : a structured approach to forecasting / / Charles Chase Visualizza cluster
Pubblicazione: Hoboken, N.J., : John Wiley & Sons, 2009
Descrizione fisica: 1 online resource (291 p.)
Disciplina: 658.40355
Soggetto topico: Economic forecasting
Business forecasting
Forecasting
Soggetto genere / forma: Electronic books.
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Demystifying forecasting : myths versus reality -- What is demand-driven forecasting? -- Overview of forecasting methods -- Measuring forecast performance -- Quantitative forecasting methods using time series data -- Quantitative forecasting methods using causal data -- Weighted combined forecasting methods -- Sensing, shaping, and linking demand to supply : a case study using MTCA -- Strategic value assessment : assessing the readiness of your demand forecasting process.
Sommario/riassunto: Praise for Demand-Driven Forecasting A Structured Approach to Forecasting ""There are authors of advanced forecasting books who take an academic approach to explaining forecast modeling that focuses on the construction of arcane algorithms and mathematical proof that are not very useful for forecasting practitioners. Then, there are other authors who take a general approach to explaining demand planning, but gloss over technical content required of modern forecasters. Neither of these approaches is well-suited for helping business forecasters critically identify the best dema
Titolo autorizzato: Demand-driven forecasting  Visualizza cluster
ISBN: 1-119-20361-9
1-282-36930-X
9786612369308
0-470-53099-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910139791903321
Lo trovi qui: Univ. Federico II
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Serie: Wiley and SAS business series.