Agent-Oriented Supply-Chain Management

By M. Fox, M. Barbuceanu, R. Teigen. 2000

573 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/b0b4f965738629eb21605782216add14a8407db1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Matthijs T. J. Spaan
2. Nikos A. Vlassis
3. Geoffrey J. Gordon
4. G. Dudek
5. Josefa Mula
6. Hartmut Stadtler
7. Lovekesh Vig
8. Hokey Min

In Computer Networks and Communications

1. Matthijs T. J. Spaan
2. Geoffrey J. Gordon
3. Hartmut Stadtler
4. Nikos A. Vlassis
5. Hokey Min
6. Lynne E. Parker

In Management Information Systems

1. R. Poler
2. Josefa Mula
3. Hartmut Stadtler
4. José Pedro García-Sabater
5. F. Lario
6. Matthijs T. J. Spaan
7. Hokey Min

Citations in the corpus

• Multi-robot coalition formation (2006, background): “, 2004), Planning and Optimization (Fox et al., 2000), Rapid Response Implementation (Chen et al.”
• Models for production planning under uncertainty: A review ☆ (2006, methodology): “The reviewed works are ordered chronologically, according to the approach detail, inside each classification criterion.”
• Supply chain management and advanced planning--basics, overview and challenges (2005, methodology): “Applications of agent technology in the area of SCM are reported e.g. by Kjenstad (1998) and Fox et al. (2000).”
• Decentralized planning under uncertainty for teams of communicating agents (2006, background): “The range of possible application domains is broad, including cooperative robotics [6], sensor networks [13], distributed space applications [4], communication networks [16] and supply chain management [7].”
• Negotiation-based collaborative planning between supply chains partners (2005, background): “Fox et al. (2000) describe a system for modeling SCs with functional agents responsible for e.g. order acquisition, logistics, transport, or scheduling.”
• Artificial intelligence in supply chain management: theory and applications (2010, background): “…al. 2003); SC relationship management (Ghiassi and Spera 2003); SC performance assessment (Gjerdrum et al. 2001); SC coordination (Swaminathan 1998, Fox et al. 2000, Nissen 2001, Sadeh et al. 2001, Ono et al. 2003, Chan and Chan 2004, Lou et al. 2004, Xue et al. 2005); SC collaboration under…”