An agent-based intelligent control platform for industrial holonic manufacturing systems

Hierarchical-granularity holonic modelling

“…It is therefore impressive how this three-layered architecture can be mapped onto the three levels (bare machine, firmware and operating system) of a multi- level Von Neumann architecture (Tannenbaum, 2006) equipped with Operating System (OS). A similar tripartition can be also found in other works (Colombo et al, 2006) in the field of Intelligent Manufacturing Systems.…”

Agent-based hierarchical production planning and scheduling in make-to-order manufacturing system

“…Van Brussel et al (1998) argued that the concurrent presence of basic holon and staff holon means HMS has the inherent ability to allow for the combination of heterarchical and hierarchical controls which in turn facilitates the generation of robust and flexible control decisions. However, most applications of HMS focus on dynamic scheduling in bottomlevel sub-systems of manufacturing system (Gou et al, 1998;Sousa and Ramos, 1999;Bongaerts et al, 2000;Babiceanu et al, 2004;Babiceanu and Chen, 2007;Leitão and Restivo, 2006) or real-time production control and rescheduling in manufacturing systems (Cheng et al, 2004;Hsieh, 2004;Colombo et al, 2006;Blanc et al, 2008;Leitão and Restivo, 2008;Verstraete et al, 2008;Borangiu et al, 2009). There are only a few incidents of applying HMS to advanced production planning and scheduling within manufacturing systems with two or more hierarchical layers, such as the work of Gou et al (1998).…”

Multi-Agv Scheduling Optimization Based on Neuro-Endocrine Coordination Mechanism

“…Here, The AGV with the largest hormone concentration will be chosen to execute the task after the manufacturing cell is stimulated by the hormone secretions of each AGV in the system, so that the workpiece transportation task is always executed by the best-suited AGV, thus shortening the overall run time and increasing the production efficiency of the system [11][12][13] .…”