Process plan controllers for non-deterministic manufacturing systems
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1320322
- Type
- E - Conference contribution
- DOI
-
10.24963/ijcai.2017/142
- Title of conference / published proceedings
- Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
- First page
- 1023
- Volume
- 2017-August
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- August
- Year of publication
- 2017
- 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
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In manufacturing-as-a-service, production facilities 'bid' to manufacture a product type (often small volumes), and the human-authoring of manufacturing process plans and their associated production software is uneconomic. Previous approaches to the automated synthesis of provably correct process plans and software did not support parallel actions on parts or assemblies or nondeterminism in the manufacturing resources. By addressing these limitations, this work significantly extends the applicability of the manufacturing-as-a-service model.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
