Multisite factories geographically distributed often have to implement an opportune tool to integrate their resources and demand forecasts in order to gather a specific production objective. The proposed research develops a distributed approach, for a network of independent enterprises, able to facilitate the capacity process by using a multiagent architecture and a cooperative protocol. The last one is based on game theory and, in particular, on Nash bargaining solution. Moreover, a discrete simulation environment has been developed to compare the proposed approach with the one in which no cooperation among enterprises exist. Several simulation scenarios were conducted to analyze the perfor- mances’ trends in various environment conditions. The goal has been the evaluation of the unallocated capacity, the unsatisfied demand, the profits generated by the network, the distribution of the transactions among the plants, and the number of activated links among plants. The simulation results show that the proposed approach leads to a better performance indexes and more relevant benefits when the dynamicity of the environment growths.
A game theoretic coordination for trading capacity in Multi-Site Factory Environment
RENNA, PAOLO;
2010-01-01
Abstract
Multisite factories geographically distributed often have to implement an opportune tool to integrate their resources and demand forecasts in order to gather a specific production objective. The proposed research develops a distributed approach, for a network of independent enterprises, able to facilitate the capacity process by using a multiagent architecture and a cooperative protocol. The last one is based on game theory and, in particular, on Nash bargaining solution. Moreover, a discrete simulation environment has been developed to compare the proposed approach with the one in which no cooperation among enterprises exist. Several simulation scenarios were conducted to analyze the perfor- mances’ trends in various environment conditions. The goal has been the evaluation of the unallocated capacity, the unsatisfied demand, the profits generated by the network, the distribution of the transactions among the plants, and the number of activated links among plants. The simulation results show that the proposed approach leads to a better performance indexes and more relevant benefits when the dynamicity of the environment growths.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
