Learning and reuse of engineering ramp-up strategies for modular assembly systems
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 12 - Engineering
- Output identifier
- 106
- Type
- D - Journal article
- DOI
-
10.1007/s10845-013-0839-6
- Title of journal
- Journal of Intelligent Manufacturing
- Article number
- -
- First page
- 1063
- Volume
- 26
- Issue
- 6
- ISSN
- 0956-5515
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
https://link.springer.com/article/10.1007%2Fs10845-013-0839-6
- 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
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Production ramp-up is a critical phase in manufacturing, which is both time-consuming and knowledge-intensive. This interdisciplinary research was carried out within the EU FP7 FRAME project (grant 229208) and is significant because it introduces a software framework for learning how to adapt assembly systems in order to reduce production ramp-up time. The ideas on self-adaptation led to other projects with Ratchev as PI: EU FP7 PRIME (grant 314762, €5.4m) and EPSRC Evolvable Assembly System (EP/K018205/1, £2.2m). This paper has been cited in DOI:10.1007/s10845-015-1044-6 by Hoda ElMaraghy (University of Windsor, Canada), a leader in the field of manufacturing systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
