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dc.contributor.author
Capón-García, Elisabet
dc.contributor.author
Muñoz, Edrisi
dc.contributor.author
Laínez-Aguirre, José M.
dc.contributor.author
Espuña, Antonio
dc.contributor.author
Puigjaner, Luis
dc.contributor.author
Hungerbühler, Konrad
dc.contributor.editor
Klemeš, Jiři J.
dc.contributor.editor
Varbanov, Petar S.
dc.contributor.editor
Liew, Peng Y.
dc.date.accessioned
2020-07-22T09:49:48Z
dc.date.available
2017-06-11T15:02:26Z
dc.date.available
2020-07-22T09:49:48Z
dc.date.issued
2014
dc.identifier.isbn
978-0-444-63434-4
en_US
dc.identifier.isbn
978-0-444-63455-9
en_US
dc.identifier.issn
1570-7946
dc.identifier.other
10.1016/B978-0-444-63455-9.50001-5
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/95277
dc.description.abstract
Since enterprises are highly involved systems, decision-making becomes a highly challenging task, and decision process is usually separated in several levels. Nevertheless, such levels are closely related, since they share data and information. Therefore, effective integration among the different hierarchical levels, by means of tools improving information sharing and communication, may play a crucial role for the enhanced enterprise operation, and consequently for fulfilling the enterprise’s goals. Ontologies stand for an excellent choice for building complex models maintaining a high level of flexibility, re-usability, usability and easiness of maintenance. This work proposes the re-use of an ontological model for the integrated enterprises structure in order to include the environmental assessment function. The ontological framework facilitates integration among the different decision levels, and works as the mechanism for information and knowledge sharing for multiple applications. An example related to the waste-to-energy problem in the industry illustrates the opportunity for providing decision makers with new technologies to assess and evaluate the plant performance.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Environmental Impact
en_US
dc.subject
Knowledge Management
en_US
dc.subject
Enterprise Wide
en_US
dc.subject
Optimization
en_US
dc.subject
Intelligent Systems
en_US
dc.title
Knowledge Management Framework for Assessing Environmental Impact in the Enterprise
en_US
dc.type
Conference Paper
dc.date.published
2014-06-20
ethz.book.title
24th European Symposium on Computer Aided Process Engineering
en_US
ethz.journal.title
Computer Aided Chemical Engineering
ethz.journal.volume
33
en_US
ethz.journal.issue
Part B
en_US
ethz.pages.start
997
en_US
ethz.pages.end
1002
en_US
ethz.event
24th European Symposium on Computer Aided Process Engineering (ESCAPE-24)
en_US
ethz.event.location
Budapest, Hungary
en_US
ethz.event.date
June 15-18, 2014
en_US
ethz.identifier.wos
ethz.identifier.nebis
010510423
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02020 - Dep. Chemie und Angewandte Biowiss. / Dep. of Chemistry and Applied Biosc.::02516 - Inst. f. Chemie- und Bioingenieurwiss. / Inst. Chemical and Bioengineering::03402 - Hungerbühler, Konrad (emeritus) / Hungerbühler, Konrad (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02020 - Dep. Chemie und Angewandte Biowiss. / Dep. of Chemistry and Applied Biosc.::02516 - Inst. f. Chemie- und Bioingenieurwiss. / Inst. Chemical and Bioengineering::03402 - Hungerbühler, Konrad (emeritus) / Hungerbühler, Konrad (emeritus)
ethz.date.deposited
2017-06-11T15:02:54Z
ethz.source
ECIT
ethz.identifier.importid
imp593652bc13e0333805
ethz.ecitpid
pub:149474
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-12T21:07:25Z
ethz.rosetta.lastUpdated
2021-02-15T15:37:05Z
ethz.rosetta.versionExported
true
ethz.COinS
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