Name
Abstract | ||
|---|---|---|
This work extends a performance metrics method for the treatability of some classes of problems in manufacturing automation that can be represented as a system-of-systems controlled by a cyber-physical infrastructure. With the use of proper distributed and recursive computing approaches, the complexity of the control of cyber-physical systems can be attacked through a unified and human-centered simple framework that complies with the forthcoming pervasive computing challenges posed by the smart manufacturing scenarios. The aim of this work is to provide the proof of concept of an effective methodology that relies on the decomposition of a production goal into a hierarchical self-similar structure of subgoals for the steering of the system toward improved effectiveness. An implementation of the technique is proposed by means of multiactor and multidatabase paradigms. The simulation of implementation and experimental deployment on low cost embedded device is provided. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TII.2018.2855747 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Measurement,Production facilities,Fractals,Manufacturing,Cyber-physical systems,Complexity theory | Software deployment,Systems engineering,Factory,Computer science,Control engineering,Automation,Proof of concept,Cyber-physical system,Ubiquitous computing,Recursion,Performance improvement | Journal |
Volume | Issue | ISSN |
15 | 3 | 1551-3203 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Bonci | 1 | 24 | 7.13 |
| Massimiliano Pirani | 2 | 19 | 6.59 |
| Sauro Longhi | 3 | 522 | 70.87 |