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    Floating Automated Targeting for Resource Conservation Networks

    Access Status
    Fulltext not available
    Authors
    Goh, W.
    Tan, Yin Ling
    Denny, K.
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Goh, W. and Tan, Y.L. and Denny, K. 2015. Floating Automated Targeting for Resource Conservation Networks. Industrial and Engineering Chemistry Research. 54 (23): pp. 6135-6145.
    Source Title
    Industrial and Engineering Chemistry Research
    DOI
    10.1021/ie5050346
    ISSN
    0888-5885
    School
    Curtin Sarawak
    URI
    http://hdl.handle.net/20.500.11937/29896
    Collection
    • Curtin Research Publications
    Abstract

    © 2015 American Chemical Society.Over the past decades, many systematic process integration techniques have been developed for synthesizing resource conservation networks (RCNs). Automated Targeting Model (ATM) is one of the approaches that incorporates insight-based concept into mathematical optimization model to locate various targets for RCNs. However, in order to perform automated targeting, the quality values of process sinks and sources must be first identified and arranged in ascending or descending order. Therefore, for cases where the quality of process sinks and sources are given in a range and not fixed, the conventional ATM will not able to locate the targets accordingly. To overcome such limitation, a novel Floating Automated Targeting Model (FATM) is presented in this work. Two literature case studies are solved to illustrate the proposed approach.

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