Supply chain forecasting model using computational intelligence techniques
Nowadays, supply chain is more complex with the advance of technology. One of the important tasks in supply chain management is product demand forecasting as it provide initial figure for various plan to work on, for example, production, inventory, personnel. The complexity of supply chain makes the...
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| Format: | Article |
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Chiang Mai University
2015
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| Online Access: | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872203103&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39006 |
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| Institution: | Chiang Mai University |
| Summary: | Nowadays, supply chain is more complex with the advance of technology. One of the important tasks in supply chain management is product demand forecasting as it provide initial figure for various plan to work on, for example, production, inventory, personnel. The complexity of supply chain makes the traditional techniques become less appropriate. This paper propose an application of Artificial neural network (ANN) and Support vector regression (SVR) to forecast product demand. A case study of an arm coil of a hard disk from a hard disk drive part manufacturing was used to demonstrate the proposed techniques. |
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