The future of factory cleaning: responsible cleaning data collection and use framework
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Publication date
2020-05-27Creators
Porcheron, Martin
Watson, Nicholas
Fischer, Joel E.
Reeves, Stuart
Metadata
Show full item recordDescription
This report introduces the future technologies that are expected to fundamentally reshape the work of cleaning food and drink factories, focusing on the possibilities for data collection and use that these technologies enable. Data serves as the core commodity that will help deliver the changes across the industry, allowing for greater fidelity and traceability across the supply chain. However, data, especially of a commercially sensitive or even personal nature, must be handled responsibly to avoid misuse or misinterpretation, which would undermine any of the benefits gleaned from enhancing data collection in the first place.
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Subjects
- Food Safety
- Robots
- Factories
- Food industry and trade
- Detectors
- Hygiene
- food safety, data, sensors, co-bots, factory, cleaning, Industry 4.0
- Engineering::Production & manufacturing engineering::Manufacturing systems engineering
- T Technology::TJ Mechanical engineering and machinery::TJ212 Control engineering systems. Automatic machinery
- R Medicine::RA Public aspects of medicine
Divisions
- University of Nottingham, UK Campus::Faculty of Science::School of Computer Science
- University of Nottingham, UK Campus::Faculty of Engineering::Department of Chemical and Environmental Engineering
Deposit date
2020-05-27Data type
ReportFunders
- Engineering & Physical Sciences Research Council
Grant number
- EP/R045127/1
- EP/M02315X/1
- EP/S000356/1
Parent project
- IoT Enhanced Factory Cleaning
Data collection method
Interviews and bookworkResource languages
- en