Abstract
In this paper, the development, implementation and validation of fuzzy logic to control an unreliable machine in manufacturing systems are presented. The fuzzy-logic controller developed in this context is based on the optimal control policy using hedging-point methodology. The fuzzy-logic controller has two-subsets of fuzzy-logic controls. The first provides a decision whether the system should produce part at make-to-stock or at make-to-order mode. The decision provided by the first fuzzy-logic control is then used by the second fuzzy-logic control to specify at what production rate the part should be produced. Simulation and implementation have been performed by controlling an unreliable machine using the developed fuzzy-logic controller. Then, the simulation results are compared with the simulation results given by the optimal control policy (hedging-point methodology). The results show that the performance of the developed fuzzy logic outperforms and is more precise than the hedging-point method under certain conditions.
Original language | English |
---|---|
Pages (from-to) | 4509-4537 |
Number of pages | 29 |
Journal | International Journal of Production Research |
Volume | 43 |
Issue number | 21 |
DOIs | |
Publication status | Published - 1 Nov 2005 |
Externally published | Yes |
Keywords
- Fuzzy logic
- Hedging point
- Intelligent manufacturing system
- Optimal control
- Unreliable machine