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dc.contributor.authorMuñoz, E.
dc.contributor.authorCapón García, Elisabet
dc.contributor.authorHungerbühler, K.
dc.contributor.authorEspuña Camarasa, Antonio
dc.contributor.authorPuigjaner Corbella, Lluis
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2013-07-30T07:48:03Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationMuñoz, E. [et al.]. Decision making support based on a process engineering ontology for waste treatment plant optimization. "Chemical engineering transactions", 2013, vol. 32, p. 277-282.
dc.identifier.urihttp://hdl.handle.net/2117/20025
dc.description.abstractNowadays, decision-making is highly challenging in the alignment of decisions to support the success of plant performance and business goals. In this sense, enterprises comprise several functions which interact with each other, such as production, marketing, sales, human resources, logistics, safety and environment. Therefore, it is important to provide systems capable of representing and considering the different elements involved in the enterprise decision making task. In this area, knowledge management technologies have proved to be highly promising for improving information sharing and communication, enhancing the enterprise operation. The industrial waste management stands for an end-of-pipe problem involving gas, liquid or solid effluents which contain contaminants originated from industrial activities. Waste streams must meet discharge constraints imposed by environmental regulations before being disposed of in the environment. Thus, waste treatment plants comprise several technologies, and treatment allocation decisions are usually taken based on company-specific selection criteria. Therefore, there is a large amount of data and information which has to be collected and organized, and the choice of the adequate option for an entire manufacturing site with hundreds of continuously changing effluents becomes an overwhelming task. The use of an ontological model for representing a waste treatment plant has been detected as an opportunity for providing decision makers with new technologies to assess and evaluate the plant performance using information quality. This work aims at improving the information management based on a semantic representation of a waste treatment plant, namely its operational and logistics functions. As a result, more accurate information is provided to the optimization tools which will lead to better solutions based on the plant constraints.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria química
dc.subject.lcshSewage
dc.subject.otherData and information
dc.subject.otherDecision making support
dc.subject.otherEngineering ontologies
dc.subject.otherEnterprise decision-making
dc.subject.otherIndustrial activities
dc.subject.otherKnowledge management technology
dc.subject.otherSemantic representation
dc.subject.otherWaste treatment plant
dc.titleDecision making support based on a process engineering ontology for waste treatment plant optimization
dc.typeArticle
dc.subject.lemacAigües residuals -- Plantes de tractament
dc.contributor.groupUniversitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
drac.iddocument12673797
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorMuñoz, E.; Capon-Garcia, E.; Hungerbühler, K.; Espuña, A.; Puigjaner, L.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameChemical engineering transactions
upcommons.citation.volume32
upcommons.citation.startingPage277
upcommons.citation.endingPage282


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain