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Self-Similar Architectures for Smart Manufacturing and Logistics Systems
1National Institute of Standards and Technology, 100 Bureau Dr, MS-8260, Gaithersburg, MD 20899.
Self-similar architectures streamline smart manufacturing and logistics. This study introduces discrete event logistics systems (DELS) to unify diverse models, enabling scalable, interoperable system design.
Area of Science:
- Manufacturing Systems Engineering
- Logistics Systems Design
- Computer Science
Background:
- Smart manufacturing and logistics systems require simplified design and interoperability.
- Existing self-similar controller architectures lack unified models for plant behavior and control functions.
- Heterogeneous system models hinder integration in complex manufacturing and logistics domains.
Purpose of the Study:
- To propose a unified modeling approach for manufacturing and logistics systems.
- To extend self-similar architectures with integrated plant behavior and control abstractions.
- To facilitate the design of scalable and interoperable smart manufacturing and logistics systems.
Main Methods:
- Modeling system units as discrete event logistics systems (DELS).
- Developing a unified abstraction for heterogeneous system models.
- Composing similar DELS to create self-similar architectures for complex systems.
Main Results:
- A unified model (DELS) effectively abstracts diverse manufacturing and logistics system components.
- Self-similar architectures can be constructed by composing DELS.
- The proposed approach simplifies design and enhances interoperability for complex systems.
Conclusions:
- Discrete Event Logistics Systems (DELS) provide a unified abstraction for manufacturing and logistics.
- Self-similar architectures built from DELS enhance system design and interoperability.
- This modeling paradigm supports the development of scalable and integrated smart manufacturing and logistics solutions.
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