A Forecasting Decision Support System
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
Page 59-64
published_at 2008-12
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| File | |
| Title ( eng ) |
A Forecasting Decision Support System
|
| Creator |
Sayed Hanaa E.
Gabbar Hossam A.
Fouad Soheir A.
Ahmed Khalil M.
Miyazaki Shigeji
|
| Source Title |
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
|
| Start Page | 59 |
| End Page | 64 |
| Abstract |
Nowadays forecasting is needed in many fields such as weather forecasting, population estimation, industry demand forecasting, and many others. As complexity and factors increase, it becomes impossible for a human being to do the prediction operation without support of computer system. A Decision support system is needed to model all demand factors and combine with expert opinions to enhance forecasting accuracy. In this research work, we present a decision support system using winters', simple exponential smoothing, and regression statistical analysis with a new proposed genetic algorithm to generate operational forecast. A case study is presented using real industrial demand data from different products types to show the improved demand forecasting accuracy for the proposed system over individual statistical techniques for all time series types.
|
| Keywords |
Forecasting
Regression Analysis
Genetic Algorithm
Support System
|
| NDC |
Technology. Engineering [ 500 ]
|
| Language |
eng
|
| Resource Type | conference paper |
| Publisher |
IEEE SMC Hiroshima Chapter
|
| Date of Issued | 2008-12 |
| Rights |
(c) Copyright by IEEE SMC Hiroshima Chapter.
|
| Publish Type | Version of Record |
| Access Rights | open access |
| Source Identifier |
[ISSN] 1883-3977
|
