Composite Goal Methods for Transportation Network Optimization Expert Systems With Applications
- Submitting institution
-
Brunel University London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 039-107601-5262
- Type
- D - Journal article
- DOI
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10.1016/j.eswa.2014.12.017
- Title of journal
- Expert Systems With Applications
- Article number
- -
- First page
- 3852
- Volume
- 42
- Issue
- 8
- ISSN
- 1873-6793
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2014
- URL
-
http://bura.brunel.ac.uk/handle/2438/9658
- Supplementary information
-
-
- 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
-
3
- Research group(s)
-
5 - Manufacturing & Design
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research led to strengthen relationship with Caterpillar and secure the next step development funding. The best implementation presented in the paper has been fully integrated into GEMSTONE technology and modified to provide the scalability effect and ensuring it works efficiently with Big Data. GEMSTONE technology that later has been deployed at Caterpillar. Later the GEMSTONE technology became the financial material of Caterpillar and being involved globally on optimisation of supply chain from material to customers. Contact details available on request
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -