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    An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production

    Access Status
    Fulltext not available
    Authors
    Li, Wei
    Nault, B.
    Xue, D.
    Tu, Y.
    Date
    2011
    Type
    Conference Paper
    
    Metadata
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    Citation
    Li, W. and Nault, B. and Xue, D. and Tu, Y. 2011. An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production, pp. 267-276.
    Source Title
    Computers and Operations Research
    DOI
    10.1016/j.cor.2010.05.002
    ISSN
    0305-0548
    School
    Department of Spatial Sciences
    URI
    http://hdl.handle.net/20.500.11937/39811
    Collection
    • Curtin Research Publications
    Abstract

    Even though research in flow shop production scheduling has been carried out for many decades, there is still a gap between research and applicationespecially in manufacturing paradigms such as one-of-a-kind production (OKP) that intensely challenges real time adaptive production scheduling and control. Indeed, many of the most popular heuristics continue to use Johnson's algorithm (1954) as their core. This paper presents a state space (SS) heuristic, integrated with a closed-loop feedback control structure, to achieve adaptive production scheduling and control in OKP. Our SS heuristic, because of its simplicity and computational efficiency, has the potential to become a core heuristic. Through a series of case studies, including an industrial implementation in OKP, our SS-based production scheduling and control system demonstrates significant potential to improve production efficiency. © 2010 Elsevier Ltd. All rights reserved.

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