An approach to make statistical forecasting of products with stationary/seasonal patterns
At any company there are hundreds, maybe thousands of products that must be forecasted with the best accuracy, in order to make a good demand management process, which are required at all planning levels in a company -- Statistical forecasting must be done fast and sometimes there are not enough res...
- Autores:
-
Castro-Zuluaga, Carlos A.
Botero-Escobar, Sara C.
Castro-Zuluaga, Carlos A.
Botero-Escobar, Sara C.
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/5015
- Acceso en línea:
- http://hdl.handle.net/10784/5015
- Palabra clave:
- Forecasting
Exponential Smoothing
Stationary
Seasonal
- Rights
- License
- Acceso restringido
| Summary: | At any company there are hundreds, maybe thousands of products that must be forecasted with the best accuracy, in order to make a good demand management process, which are required at all planning levels in a company -- Statistical forecasting must be done fast and sometimes there are not enough resources to do it well -- In In this paper we make a proposal of an approach to define the parameter of the exponential smoothing model for products with a behavior pattern stationary or seasonal/stationary in the historical data, to obtain “good forecasting" A numerical example is used to show the effectiveness of the proposed method |
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