Self-similar architectures for smart manufacturing and logistics systems

Self-similar architectures simplify design and interoperability for smart manufacturing and logistics systems. Self-similar architectures for these domains extend existing models of self-similar controller architectures to include unified models, or abstractions, of plant behavior and planning and operational control functions. This paper proposes modeling system units as discrete event logistics systems (DELS), an abstraction that unifies heterogeneous system models for the manufacturing and logistics domain. Similar DELS then can be composed into self-similar architectures for larger, more complex DELS.