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dc.contributor.authorPorcheron, Martin
dc.contributor.authorWatson, Nicholas
dc.contributor.authorFischer, Joel E.
dc.contributor.authorReeves, Stuart
dc.date.accessioned2020-05-27T08:31:59Z
dc.date.available2020-05-27T08:31:59Z
dc.date.issued2020-05-27
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/8314
dc.description.abstractThis 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.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshFood Safetyen_UK
dc.subject.lcshRobotsen_UK
dc.subject.lcshFactoriesen_UK
dc.subject.lcshFood industry and tradeen_UK
dc.subject.lcshDetectorsen_UK
dc.subject.lcshHygieneen_UK
dc.titleThe future of factory cleaning: responsible cleaning data collection and use frameworken_UK
dc.identifier.doihttp://doi.org/10.17639/nott.7054
dc.subject.freefood safety, data, sensors, co-bots, factory, cleaning, Industry 4.0en_UK
dc.subject.jacsEngineering::Production & manufacturing engineering::Manufacturing systems engineeringen_UK
dc.subject.lcT Technology::TJ Mechanical engineering and machinery::TJ212 Control engineering systems. Automatic machineryen_UK
dc.subject.lcR Medicine::RA Public aspects of medicineen_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Science::School of Computer Scienceen_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Engineering::Department of Chemical and Environmental Engineeringen_UK
uon.funder.controlledEngineering & Physical Sciences Research Councilen_UK
uon.datatypeReporten_UK
uon.grantEP/R045127/1en_UK
uon.grantEP/M02315X/1en_UK
uon.grantEP/S000356/1en_UK
uon.parentprojectIoT Enhanced Factory Cleaningen_UK
uon.collectionmethodInterviews and bookworken_UK
uon.preservation.rarelyaccessedtrue
uon.identifier.risproject1491093en_UK


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CC-BY
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