New product forecasting demand by using neural networks and similar product analysis
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2014
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| _version_ | 1876481656299192320 |
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| author | Alfonso T. Sarmiento |
| author_facet | Alfonso T. Sarmiento |
| contents | New product forecasting demand by using neural networks and similar product analysis Alfonso T. Sarmiento Osman Camilo Soto Ingeniería new products neural networks similar products demand forecasting This research presents a new product forecasting methodology that combines the forecast of analogous products. The quantitative part of the method uses an artificial neural network to calculate the forecast of each analogous product. These individual forecasts are combined using a qualitative approach based on a factor that measures the similarity between the analogous products and the new product. A case study of two major multinational companies in the food sector is presented to illustrate the methodology. Results from this study showed more accurate forecasts using the proposed approach in 86 percent of the cases analyzed. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49631663039 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.186 Vol.81 |
| format | Artículo científico |
| id | redalyc_49631663039 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | New product forecasting demand by using neural networks and similar product analysis Alfonso T. Sarmiento Ingeniería new products neural networks similar products demand forecasting New product forecasting demand by using neural networks and similar product analysis Alfonso T. Sarmiento Osman Camilo Soto Ingeniería new products neural networks similar products demand forecasting This research presents a new product forecasting methodology that combines the forecast of analogous products. The quantitative part of the method uses an artificial neural network to calculate the forecast of each analogous product. These individual forecasts are combined using a qualitative approach based on a factor that measures the similarity between the analogous products and the new product. A case study of two major multinational companies in the food sector is presented to illustrate the methodology. Results from this study showed more accurate forecasts using the proposed approach in 86 percent of the cases analyzed. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49631663039 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.186 Vol.81 |
| title | New product forecasting demand by using neural networks and similar product analysis |
| topic | Ingeniería new products neural networks similar products demand forecasting |
| url | https://www.redalyc.org/articulo.oa?id=49631663039 |