Optimal control of an unreliable machine using fuzzy-logic control: From design to implementation

M. N. Yuniarto*, A. W. Labib

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


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 languageEnglish
Pages (from-to)4509-4537
Number of pages29
JournalInternational Journal of Production Research
Issue number21
Publication statusPublished - 1 Nov 2005
Externally publishedYes


  • Fuzzy logic
  • Hedging point
  • Intelligent manufacturing system
  • Optimal control
  • Unreliable machine


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