Intelligent bio-inspired system for manufacturing scheduling under uncertainties

mization Techniques (BIT) will be described. AC has emerged as a paradigm aiming at incorporating applications with a man-agement structure similar to the central nervous system. The main intentions are to improve resource utilization and service quality. In this paper we envisage the use of MAS paradigm for supporting dynamic and distributed scheduling in Manufactur-ing Systems with AC properties, in order to reduce the com-plexity of managing manufacturing systems and human inter-ference. The proposed CBR based Intelligent Scheduling Sys-tem was evaluated under different dynamic manufacturing sce-narios