Name
Abstract | ||
|---|---|---|
Nowadays, manufacturing control systems can respond more effectively to exigent market requirements and real-time demands. Indeed, they take advantage of changing their structural and behavioural arrangements to tailor the control solution from a diverse set of feasible configurations. However, the challenge of this approach is to determine efficient mechanisms that dynamically optimise the configuration between different architectures. This paper presents a dynamic hybrid control architecture that integrates a switching mechanism to control changes at both structural and behavioural level. The switching mechanism is based on a genetic algorithm and strives to find the most suitable operating mode of the architecture with regard to optimality and reactivity. The proposed approach was tested in a real flexible job shop to demonstrate the applicability and efficiency of including an optimisation algorithm in the switching process of a dynamic hybrid control architecture. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1080/00207543.2016.1218087 | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH |
Keywords | DocType | Volume |
flexible job shop, hybrid production system, dynamic scheduling, switching mechanism | Journal | 55 |
Issue | ISSN | Citations |
15 | 0020-7543 | 4 |
PageRank | References | Authors |
0.41 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose-Fernando Jimenez | 1 | 4 | 1.42 |
| Abdelghani Bekrar | 2 | 97 | 14.30 |
| Gabriel Zambrano-Rey | 3 | 4 | 0.41 |
| Damien Trentesaux | 4 | 375 | 40.48 |
| Paulo Leitao | 5 | 102 | 16.48 |