A system dynamics simulation model of chemical supply chain transportation risk management systems
- Submitting institution
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Liverpool John Moores University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1196
- Type
- D - Journal article
- DOI
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10.1016/j.compchemeng.2016.02.019
- Title of journal
- Computers and Chemical Engineering
- Article number
- -
- First page
- 71
- Volume
- 89
- Issue
- -
- ISSN
- 0098-1354
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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B - LOOM
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work proposes a novel modelling and simulation methodology to analyse risks in Chemical Supply Chain Transportation. It was supported by an EU FP7 grant (grant no. 314836, €386k, coordinated by LJMU, 2011-2015) and a grant from National Social Science Fund of China (NSSFC grant no. 14BGL133, £120k, 2014-2016). This research work has been adopted by the Three Gorges Navigation Authority to rationalize their working procedures and stakeholder responsibilities (L. Zhao, Director, lzhou@sxthj.org.cn). This work led to a fully-funded keynote at MSSS 2017, Wuhan, China (http://www.centec.tecnico.ulisboa.pt/centec_public/MSSS-2017.pdf) and a Natural Science Foundation of China grant (grant no.-14BGL133, £150k, 2016-2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -