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dc.creatorLatorre Biel, Juan Ignacioes_ES
dc.creatorJiménez Macías, Emilioes_ES
dc.creatorPérez de la Parte, Mercedeses_ES
dc.creatorSáenz Díez, Juan Carloses_ES
dc.creatorMartínez Cámara, Eduardoes_ES
dc.creatorBlanco Fernández, Julioes_ES
dc.date.accessioned2018-08-31T08:07:51Z
dc.date.available2018-08-31T08:07:51Z
dc.date.issued2016
dc.identifier.issn1687-8140 (Print)
dc.identifier.issn1687-8140 (Electronic)
dc.identifier.urihttps://hdl.handle.net/2454/30330
dc.description.abstractDecision-making in technological systems, such as communication networks, manufacturing facilities and supply chains, constitutes a common requirement able to lead companies galore to success or failure. This article presents a decisionmaking methodology, where the feasible structural configurations to be analysed are chosen heuristically in the frame of a single optimization problem. For stating the optimization problem and solving it efficiently, appropriate formalisms would be used. Compound Petri nets, a particular kind of parametric Petri nets, and alternatives aggregation Petri nets, are two Petri net–based formalisms able to integrate in the same model different alternative structural configurations. Moreover, even having different characteristics that might make them useful for different applications, both formalisms present common features, such as including a set of exclusive entities and the possibility of developing compact Petri net models, by the removal of redundant information. This article is also focused on the transformation algorithm between compound Petri nets and alternatives aggregation Petri nets. This algorithm is devoted to transform a model described by one of the formalisms into an equivalent model, that is, with the same behaviour, represented using the other formalism. Finally, several application examples are given for illustrating the steps of the transformation algorithm.en
dc.format.extent12 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherSAGEen
dc.relation.ispartofAdvances in Mechanical Engineering, 2016, Vol. 8 (11) 1–12en
dc.rights© The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution 3.0 License which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).en
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectAlternatives aggregation Petri netsen
dc.subjectCompound Petri netsen
dc.subjectParametric Petri netsen
dc.subjectDecision support systemsen
dc.subjectSimulationen
dc.subjectOptimizationen
dc.titleCompound Petri nets and alternatives aggregation Petri nets: two formalisms for decision-making supporten
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingeniería Mecánica, Energética y de Materialeses_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Mekanika, Energetika eta Materialen Ingeniaritza Sailaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.1177/1687814016680516
dc.relation.publisherversionhttps://doi.org/10.1177/1687814016680516
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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© The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution 3.0 License which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
La licencia del ítem se describe como © The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution 3.0 License which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).