A study on decision-making of food supply chain based on big data
As more and more companies have captured and analyzed huge volumes of data to improve the performance of supply chain, this paper develops a big data harvest model that uses big data as inputs to make more informed production decisions in the food supply chain. By introducing a method of Bayesian ne...
| Main Authors: | Ji, Guojun, Hu, Limei, Tan, Kim Hua |
|---|---|
| Format: | Article |
| Published: |
Springer
2017
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/40465/ |
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