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.
Original language | English |
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Pages (from-to) | 4229-4247 |
Number of pages | 19 |
Journal | International Journal of Production Research |
Volume | 55 |
Issue number | 15 |
DOIs | |
State | Published - 03 Aug 2017 |
Keywords
- dynamic scheduling
- flexible job shop
- hybrid production system
- switching mechanism