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dc.contributor.authorLim, C.
dc.contributor.authorLam, H.
dc.contributor.authorNg, Wendy
dc.date.accessioned2018-01-30T08:04:55Z
dc.date.available2018-01-30T08:04:55Z
dc.date.created2018-01-30T05:59:21Z
dc.date.issued2017
dc.identifier.citationLim, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/61354
dc.identifier.doi10.1016/j.energy.2017.11.033
dc.description.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.

dc.publisherPergamon
dc.titleA novel HAZOP approach for literature review on biomass supply chain optimisation model
dc.typeJournal Article
dcterms.source.issn0360-5442
dcterms.source.titleEnergy
curtin.departmentCurtin Malaysia
curtin.accessStatusFulltext not available


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