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dc.contributor.authorBenedetti, Miriamen
dc.contributor.authorHolgado Granados, Mariaen
dc.contributor.authorEvans, Stephenen
dc.contributor.editorLödding, Hen
dc.contributor.editorRiedel, Ren
dc.contributor.editorThoben, KDen
dc.contributor.editorKiritsis, Den
dc.contributor.editorvon Cieminski, Gen
dc.date.accessioned2019-03-26T15:46:44Z
dc.date.available2019-03-26T15:46:44Z
dc.identifier.isbn978-3-319-66923-6en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/290844
dc.description.abstractThe development of tools and methods supporting the identification of In-dustrial Symbiosis opportunities is of utmost importance to unlock its full potential. Knowledge repositories have proven to be powerful tools in this sense, but often fail mainly due to poor contextualization of information and lack of general applicability (out of the boundaries of specific areas or pro-jects). In this work, a novel approach to the design of knowledge repositories for Industrial Symbiosis is presented, based on the inclusion and categoriza-tion of tacit knowledge as well as on the combination of mimicking and in-put-output matching approaches. The results of a first usability test of the proposed tool are also illustrated.en
dc.publisherSpringeren
dc.subjectindustrial symbiosisen
dc.subjectmimicking mechanismen
dc.subjectknowledge repositoryen
dc.subjectindustrial synergiesen
dc.subjectresource efficiencyen
dc.titleA novel knowledge repository to support Industrial Symbiosisen
dc.typeBook chapter
prism.endingPage451
prism.publicationNameAdvances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturingen
prism.startingPage443
prism.volume514en
dc.identifier.doi10.17863/CAM.38036
rioxxterms.versionofrecord10.1007/978-3-319-66926-7_51en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
dc.contributor.orcidBenedetti, Miriam [0000-0003-4170-2407]
dc.contributor.orcidHolgado Granados, Maria [0000-0002-6019-9598]
dc.contributor.orcidEvans, Stephen [0000-0003-1757-6842]
rioxxterms.typeBook chapteren
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Industrial Leadership (IL) (680570)
cam.issuedOnline2017-08-29en


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