The week's pick
Reseach Article
A Production Planning Model using Fuzzy Neural Network: A Case Study of an Automobile Industry
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 40 - Number 4 |
| Year of Publication: 2012 |
| Authors: Rashmi Sharma, Ashok K. Sinha |
10.5120/5032-7183
|
Rashmi Sharma, Ashok K. Sinha . A Production Planning Model using Fuzzy Neural Network: A Case Study of an Automobile Industry. International Journal of Computer Applications. 40, 4 ( February 2012), 19-22. DOI=10.5120/5032-7183
Abstract
The production forecast based on order received is adversely affected by deterrent factors in supply chain management (SCM). Although several mathematical models have been attempted by researchers, the accuracy of such forecast still need to be improved. In the present paper the various deterrent factors influencing the supply chain have been considered adequately to forecast the production plan on the order received. The model is based on the machine learning using fuzzy neural network architecture and validated with real data on automobile production. The result is compared with that obtained by conventional multiple regression model and the former is found to be quite satisfactory, the error being as low as 2.9847 e-006
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