Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/53601

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dc.contributor.authorVarela, Maria Leonilde Rochapor
dc.contributor.authorBarbosa, Ruipor
dc.contributor.authorCosta, Susana Raquel Pintopor
dc.date.accessioned2018-03-27T16:23:11Z-
dc.date.available2018-03-27T16:23:11Z-
dc.date.issued2013-
dc.identifier.citationVarela, M. L. R., Barbosa, R., & Costa, S. (2013). P2P Web Service Based System for Supporting Decision-Making in Cellular Manufacturing Scheduling. In Computational Intelligence and Decision Making (pp. 155-165). Springer, Dordrechtpor
dc.identifier.isbn978-94-007-4721-0-
dc.identifier.issn2213-8986-
dc.identifier.urihttps://hdl.handle.net/1822/53601-
dc.description.abstractWith the increase of the Internet and Virtual Enterprises (VEs), interfaces for web systems and automated services are becoming an emergent necessity. In this paper we propose a Peer-to-peer (P2P) web-based decision-support system for enabling access to different manufacturing scheduling methods, which can be remotely available and accessible from a distributed knowledge base. The XML-based modeling and communication is applied to manufacturing scheduling. Therefore, manufacturing scheduling problems and methods are modeled using XML. The proposed P2P web-based system works as web services, under the SOAP protocol. The system’s distributed knowledge base enables sharing information about scheduling problems and corresponding solving methods in a widened search space, through a scheduling community, integrating a VE. Running several methods enables different results for a given problem, consequently, contributing for a better decision-making. An important aspect is that this knowledge base can be easily and continuously updated by any contributor through the VE. Moreover, through this system once suitable available methods, for a given problem, are identified, it enables running one or more of them, for enabling a better manufacturing scheduling support, enhanced though incorporated fuzzy decision-making procedurespor
dc.description.sponsorshipAichi Science and Technology Foundation(PTDC/EME-GIN/102143/2008)por
dc.language.isoengpor
dc.publisherSpringerpor
dc.rightsopenAccesspor
dc.subjectCellular Manufacturing Schedulingpor
dc.subjectWeb Servicespor
dc.subjectDistributed Knowledge Basepor
dc.subjectVirtual Enterprisepor
dc.subjectFuzzy Decision-makingpor
dc.titleP2P Web service based system for supporting decision-making in cellular manufacturing schedulingpor
dc.typebookPartpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-94-007-4722-7_15#citeaspor
oaire.citationStartPage155por
oaire.citationEndPage165por
oaire.citationVolume61por
dc.identifier.eissn2213-8994-
dc.identifier.doi10.1007/978-94-007-4722-7_15por
dc.identifier.eisbn978-94-007-4722-7-
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
sdum.journalIntelligent Systems, Control and Automation: Science and Engineeringpor
sdum.bookTitleComputational intelligence and decision making: trends and applicationspor
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