Abstract
In order to satisfy customer’s diverse demand and due date under SCM (Supply Chain Management) environment, this paper aims to establish effective scheduling in consideration of alternative machines and operation sequence of suppliers and outsourcing companies, and also focus on developing multi-agent based integration scheduling system to respond on a real-time basis to the various changes in the production environment. This paper has used genetic algorithm and multi-agent technology to develop this system. Compared with many other researches, this research has a great advantage in the sense that this multi-agent based integration scheduling system can reflect various changes in the production under SCM environment considering the situation of suppliers and outsourcing companies.
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Choi, H.R., Kim, H.S., Park, B.J., Park, Y.S. (2004). Multi-agent Based Integration Scheduling System under Supply Chain Management Environment. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_27
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DOI: https://doi.org/10.1007/978-3-540-24677-0_27
Publisher Name: Springer, Berlin, Heidelberg
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