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    Scheduling and optimisation of batch plants: model development and comparison of approaches

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    Authors
    Tan, Yaqing
    Huang, Wei
    Sun, Yanming
    Yue, Yong
    Affiliation
    University of Bedfordshire
    Issue Date
    2014-06
    Subjects
    parallel machines
    batch plants
    genetic algorithm
    constraint programming
    batch plant scheduling
    
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    Abstract
    The application of parallel machines and storage facilities provides flexibility but raises challenges for batch plants. This research proposes a scheduling model in batch plants, considering complex real-world constraints that were seldom addressed together. Two optimisation approaches, genetic algorithm (GA) and constraint programming (CP), are applied to solve the complex batch plant scheduling problem. A case study and scalability tests are conducted to investigate different performance of GA and CP in the problem to prepare for further research application. It is found that the CP approach has a better performance in solving batch plant scheduling problems with complex constraints although it needs longer time. The ‘restart’ search strategy is better than two other search strategies for the CP approach.
    Citation
    Tan Y., Huang W., Sun Y., Yue Y. (2014) 'Scheduling and optimisation of batch plants: model development and comparison of approaches' International Journal of Computer Applications in Technology 49 (3/4):227
    Publisher
    Inderscience Publishers
    Journal
    International Journal of Computer Applications in Technology
    URI
    http://hdl.handle.net/10547/333414
    DOI
    10.1504/IJCAT.2014.062359
    Additional Links
    http://www.inderscience.com/link.php?id=62359
    Type
    Article
    Language
    en
    ISSN
    0952-8091
    1741-5047
    ae974a485f413a2113503eed53cd6c53
    10.1504/IJCAT.2014.062359
    Scopus Count
    Collections
    Centre for Computer Graphics and Visualisation (CCGV)

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