Self-Similar Architectures for Smart Manufacturing and Logistics Systems
Timothy A. Sprock
Self-similar architectures can simplify some design and interoperability challenges for smart manufacturing and logistics systems. To be effective, self-similar architectures for these domains must 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 each similar unit as discrete event logistics system (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 systems.