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    A novel HAZOP approach for literature review on biomass supply chain optimisation model

    Access Status
    Fulltext not available
    Authors
    Lim, C.
    Lam, H.
    Ng, Wendy
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Lim, C. and Lam, H. and Ng, W. 2017. A novel HAZOP approach for literature review on biomass supply chain optimisation model. Energy. 146: pp. 13-25.
    Source Title
    Energy
    DOI
    10.1016/j.energy.2017.11.033
    ISSN
    0360-5442
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/61354
    Collection
    • Curtin Research Publications
    Abstract

    Constructive literature review is the most critical aspect in research and development. Nonetheless, execution of a good literature review could be problematic due to complexity of research field. This paper discusses a new approach to implement industrial assessment practice of Hazard and Operability Analysis (HAZOP) into literature review. HAZOP methodology is originally developed to assess process hazard to ensure adequacy of process safety and operability. It is a brain storming session among expertises with the assist of deviation and guidewords to initiate hazard identification and discussions. In this paper, conventional HAZOP methodology is modified to guide literature review process. Biomass supply chain optimisation model overview is presented as demonstration case study. The system is break into sub-sections for independent analysis to ensure detailed assessment. Deviations to be included in the study are quality, quantity, logistic, and market cost/value. Potential process hazards are identified with the guidewords of more/higher, less/no and less/lower. Each identified hazard was cross-checked with the literature for potential rectification. Recommendations are provided in case of inadequacy of protection over the identified hazards which also highlighted as the potential research gaps. HAZOP approach provides a systematic platform to conduct detailed evaluation of a complex research in guided sequences.

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