On the Exploitation of Automated Planning for Reducing Machine Tools Energy Consumption Between Manufacturing Operations
- Submitting institution
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The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 51
- Type
- E - Conference contribution
- DOI
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- Title of conference / published proceedings
- 27th International Conference on Automated Planning and Scheduling : (ICAPS 2017)
- First page
- 400
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- June
- Year of publication
- 2017
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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4
- Research group(s)
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-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in the CORE2020-ranked A* ICAPS conference, this interdisciplinary research introduced novel planning and scheduling techniques to reduce energy consumption of machine tools used during subtractive manufacturing. It led to an EPSRC Network Plus feasibility project (https://connectedeverything.ac.uk/feasibility-studies/fs-crafts-based-knowledge/) of which Parkinson was Co-I, to explore its use in plan generation for mirror polishing. Utilising this research, co-authors Longstaff and Fletcher introduced an Artificial Intelligence strand to the Advanced Metrology Hub project at the University of Huddersfield, supported by a £10 million EPSRC award (EP/P006930/1), for which they were co-Is.
- Author contribution statement
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- Non-English
- No
- English abstract
- -