CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishStarting in the second half of last century, researchers and managers have gradually paid more attention to that chapter of decision-making sciences that goes by the name of "Demand Analysis." In the literature today, there are a wide range of templates to allow you to predict future demand for goods and services, with the obvious ultimate goal of providing managers with quantitative elements to improve the different planning processes related to this type of decision (purchasing raw materials, semi-finished materials, optimum input and output warehouse inventory, production planning). The matrix common to all the most widely-used models is the use of the consolidated historical data to "train" the prediction algorithm. In this paper, the authors describe a method to study those cases where the historical data is not available (new markets, new products, new technologies, etc.) and the stochastic element consequently takes on extreme importance in defining the prediction process.
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
| Titolo: | An innovative stochastic approach to forecast the demand of new products |
| Autori: | |
| Data di pubblicazione: | 2016 |
| Handle: | http://hdl.handle.net/11567/917561 |
| ISBN: | 9780889869790 |
| Appare nelle tipologie: | 04.01 - Contributo in atti di convegno |
File in questo prodotto:
Copyright © 2021