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

M. Yuniarto, Ashraf Labib

    Research output: Contribution to journalArticlepeer-review

    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 twosubsets 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
    Volume43
    Issue number21
    DOIs
    Publication statusPublished - 1 Nov 2005

    Fingerprint

    Dive into the research topics of 'Optimal control of an unreliable machine using fuzzy-logic control: from design to implementation'. Together they form a unique fingerprint.

    Cite this