A lattice-based approach for navigating design configuration spaces
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 12 - Engineering
- Output identifier
- MECH-97
- Type
- D - Journal article
- DOI
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10.1016/j.aei.2019.100928
- Title of journal
- Advanced Engineering Informatics
- Article number
- 100928
- First page
- -
- Volume
- 42
- Issue
- -
- ISSN
- 1474-0346
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2019
- 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
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper provides a ground breaking design description capability that ensures consistency across multiple design configurations occurring in definitions of complex products. A hypercube lattice is used to define a computational space including all possible configurations for a given design, and valid operations within the space are governed by the mathematics of hypercube lattices. Software is open access (https://github.com/hhchau/StrEmbed-4). Ideas introduced in the paper have led to further interdisciplinary research (EP/S016406/1), and a Lanner/Rolls-Royce supported project (2018–2019), exploring opportunities for machine learning in engineering design tools and how design configurations impact risk in design and make supply networks.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
