A PROPOSAL ON AGENT-BASED PRODUCTION PLANNING IN INTEGRATED SUPPLY NETWORK

2008 ◽  
Vol 41 (2) ◽  
pp. 10582-10587
Author(s):  
Jayeola Femi Opadiji ◽  
Toshiya Kaihara
2003 ◽  
Vol 36 (3) ◽  
pp. 249-254
Author(s):  
Daniel Frey ◽  
Jens Nimis ◽  
Heinz Wörn ◽  
Peter Lockemann

Procedia CIRP ◽  
2016 ◽  
Vol 57 ◽  
pp. 439-444 ◽  
Author(s):  
Denis Kurle ◽  
Stefan Blume ◽  
Tobias Zurawski ◽  
Sebastian Thiede

Author(s):  
Shima Mohebbi ◽  
Rasoul Shafaei ◽  
Namjae Cho

The automation of negotiation among buyer-supplier-supplier triad is an important policy in e-supply network coordination (e-SNC). In addition to the buyer-supplier coordination advantages, a further coordination among suppliers is also highly important in order to maximize the network supply capacity utilization especially when the suppliers are geographically decentralized. This chapter focuses on the impact of suppliers’ coordination in a network where the coordination among buyers and suppliers is in place. The proposed agent-based model is composed of two negotiator agents, one monitor agent, and one coordinator agent. The model begins with buyer-supplier negotiation and coordination mechanism adopted from the approach developed by Mohebbi and Shafaei (2010). Then, the suppliers’ coordination mechanism is developed to investigate the interaction among suppliers and evaluate the subsequent benefit obtained in the global network. The efficiency of the proposed approach is evaluated using a simulation model. The results demonstrate that in a network where the coordination among buyers and suppliers is in place, a further coordination among suppliers leads to the reduction of total network cost.


Author(s):  
Xutang Zhang ◽  
Xinhua Liu ◽  
Gaoliang Peng

This study intends to propose an intelligent system with agent technology in order to realize integration and cooperation of multi-project production planning and scheduling process. The agent-based system framework, in which various intelligent agents worked together to perform multi-project production planning and scheduling tasks in an autonomous and collaborative way, is put forward. The system consists of three categories of agents and functional definition of each intelligent agent is presented. Moreover, agents communication mechanism and cooperation sequence diagram are proposed. Furthermore, an intelligent algorithm based on fuzzy comprehensive evaluation is designed to resolve competition conflicts among the agents. Finally, an experiment example was illustrated and the algorithm was demonstrated feasible and efficient.


Author(s):  
Michal Pchouek ◽  
Martin Rehk ◽  
Petr Charvt ◽  
Tom Vlek ◽  
Michal Kol

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