The future of factory cleaning: responsible cleaning data collection and use framework
dc.contributor.author | Porcheron, Martin | |
dc.contributor.author | Watson, Nicholas | |
dc.contributor.author | Fischer, Joel E. | |
dc.contributor.author | Reeves, Stuart | |
dc.date.accessioned | 2020-05-27T08:31:59Z | |
dc.date.available | 2020-05-27T08:31:59Z | |
dc.date.issued | 2020-05-27 | |
dc.identifier.uri | https://rdmc.nottingham.ac.uk/handle/internal/8314 | |
dc.description.abstract | 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. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | The University of Nottingham | en_UK |
dc.rights | CC-BY | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.lcsh | Food Safety | en_UK |
dc.subject.lcsh | Robots | en_UK |
dc.subject.lcsh | Factories | en_UK |
dc.subject.lcsh | Food industry and trade | en_UK |
dc.subject.lcsh | Detectors | en_UK |
dc.subject.lcsh | Hygiene | en_UK |
dc.title | The future of factory cleaning: responsible cleaning data collection and use framework | en_UK |
dc.identifier.doi | http://doi.org/10.17639/nott.7054 | |
dc.subject.free | food safety, data, sensors, co-bots, factory, cleaning, Industry 4.0 | en_UK |
dc.subject.jacs | Engineering::Production & manufacturing engineering::Manufacturing systems engineering | en_UK |
dc.subject.lc | T Technology::TJ Mechanical engineering and machinery::TJ212 Control engineering systems. Automatic machinery | en_UK |
dc.subject.lc | R Medicine::RA Public aspects of medicine | en_UK |
uon.division | University of Nottingham, UK Campus::Faculty of Science::School of Computer Science | en_UK |
uon.division | University of Nottingham, UK Campus::Faculty of Engineering::Department of Chemical and Environmental Engineering | en_UK |
uon.funder.controlled | Engineering & Physical Sciences Research Council | en_UK |
uon.datatype | Report | en_UK |
uon.grant | EP/R045127/1 | en_UK |
uon.grant | EP/M02315X/1 | en_UK |
uon.grant | EP/S000356/1 | en_UK |
uon.parentproject | IoT Enhanced Factory Cleaning | en_UK |
uon.collectionmethod | Interviews and bookwork | en_UK |
uon.preservation.rarelyaccessed | true | |
uon.identifier.risproject | 1491093 | en_UK |
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