ABSTRACT
With the progressive increase in the complexity of dynamic environments, systems require evolutionary configuration and optimization to meet increased demand. In this sense, any change in the conditions of systems or products may require distributed scheduling and resource allocation of more elementary services. Centralized approaches might fall into bottleneck issues, becoming complex to adapt, especially in the case of unexpected events. Multi-agent systems (MASs) can use automatic and autonomous behavior to enhance task effort distribution and support scheduling decision-making. A MAS is also able to obtain quick solutions through cooperation and smart control by agents empowered by their coordination and interoperability. By leveraging an architecture that benefits from a collaboration with distributed artificial intelligence, an approach is proposed based on a conceptual MAS design that allows distributed and intelligent management to promote technological innovation in basic concepts of society for more sustainable everyday applications for domains with emerging needs, such as manufacturing and healthcare scheduling systems.
