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    Optimal control of hybrid manufacturing systems by log-exponential smoothing aggregation

    Access Status
    Fulltext not available
    Authors
    Mashaba, Kobamelo
    Li, J.
    Xu, Honglei
    Jiang, X.
    Date
    2020
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Mashaba, K. and Li, J. and Xu, H. and Jiang, X. 2020. Optimal control of hybrid manufacturing systems by log-exponential smoothing aggregation. Discrete and Continuous Dynamical Systems - Series S. 13 (6): pp. 1711-1719.
    Source Title
    Discrete and Continuous Dynamical Systems - Series S
    DOI
    10.3934/dcdss.2020100
    ISSN
    1937-1632
    Faculty
    Faculty of Science and Engineering
    School
    School of Elec Eng, Comp and Math Sci (EECMS)
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP160102819
    URI
    http://hdl.handle.net/20.500.11937/90937
    Collection
    • Curtin Research Publications
    Abstract

    This paper studies new optimal control policies for solving complex decision-making problems encountered in industrial hybrid systems in a manufacturing setting where critical jobs exist in a busy structure. In such setting, different dynamical systems interlink each other and share common functions for smooth task execution. Entities arriving at shared resources compete for service. The interactions of industrial hybrid systems become more and more complex and need a suitable controller to achieve the best performance and to obtain the best possible service for each of the entities arriving at the system. To solve these challenges, we propose an optimal control policy to minimize the operational cost for the manufacturing system. Furthermore, we develop a hybrid model and a new smoothing algorithm for the cost balancing between the quality and the job tardiness by finding optimal service time of each job in the system.

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