Using the max-sum algorithm for supply chain emergence in dynamic multiunit environments
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21361779
- Type
- D - Journal article
- DOI
-
10.1109/TSMC.2014.2351782
- Title of journal
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Article number
- -
- First page
- 422
- Volume
- 45
- Issue
- 3
- ISSN
- 2168-2216
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2015
- URL
-
-
- 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
-
1
- Research group(s)
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A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper put forward the currently best performing decentralised supply chain formation mechanism. It formed the basis of the PhD of M. Winsper. This work has led to the successful award of a Royal Society Fellowship (NIF\R1\192366) and an ongoing collaboration with Prof Nick Jennings at Imperial College London. The mechanism was also crucial to the award of a Knowledge Transfer Partnership with Rimilia Holdings Ltd (KTP010737, £200k).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
