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Logistics and supply chain management with artificial intelligence techniques. Part 1 /
A product is valuable only when it can be delivered to the user/customer at the right time, to the right place, and with the right quality. This is particularly essential in today's e-commerce environment, which demands quick response, and short product life cycle. Previously published in: Jour...
| Call Number: | Libro Electrónico |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
[Bradford, England] :
Emerald Pub.,
2004.
|
| Series: | Journal of manufacturing technology management ;
vol. 15, no. 8. |
| Subjects: | |
| Online Access: | Texto completo |
Table of Contents:
- Guest editorial
- Performance measurement and evaluation of suppliers in supply chain
- Evaluation of the supplier performance using an evolutionary fuzzy-based approach
- Multi-agent architecture for supply chain management
- Supply chain scheduling using distributed parallel simulation
- A decision support system to facilitate resources allocation
- An object-based relational data base system using re-configurable finance and material objects
- Collaborative supply chain planning using the artificial neural network approach.