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dc.creatorRamos Gutiérrez, Belénes
dc.creatorReina Quintero, Antonia Maríaes
dc.creatorParody Núñez, María Luisaes
dc.creatorGómez López, María Teresaes
dc.date.accessioned2022-11-02T10:51:06Z
dc.date.available2022-11-02T10:51:06Z
dc.date.issued2022
dc.identifier.citationRamos Gutiérrez, B., Reina Quintero, A.M., Parody Núñez, M.L. y Gómez López, M.T. (2022). When business processes meet complex events in logistics: A systematic mapping study. Computers in Industry, 144 (art. nº103788), 1-16. https://doi.org/10.1016/j.compind.2022.103788.
dc.identifier.issn0166-3615es
dc.identifier.issn1872-6194es
dc.identifier.urihttps://hdl.handle.net/11441/138587
dc.description.abstractLogistics processes are attracting growing attention because of the globalisation of the market. Its growing complexity and the need for reducing costs have provoked the seek of new solutions based on the processing of the complex events that the business processes produce. Event-Driven Business Process Management (EDBPM) is a discipline that studies the integration of business processes and complex events. The analysis of the maturity level of the approaches and gaps to point out future lines of research could help not only logistics organisations, but also academia. Logistics organisation could benefit from producing more environmentally friendly and optimal solutions in transport, and academia could benefit from revealing open problems. Thus, this study aims to identify current approaches, frameworks, and tools that integrate business processes and complex events in the logistics domain. To do so, we follow a systematic approach to do a mapping study that captures and synthesises the approaches, frameworks, and tools that integrate these two fields. As a result, 10,978 articles were gathered and 169 of them were selected for extraction. We have classified the selected studies according to several criteria, including the business process life cycle in which they are being applied, the business process modelling language, and the event process modelling language, among others. Our synthesis reveals the open challenges and the most relevant frameworks and tools. However, there is no mature enough framework or tool ready to be used in companies, and a promising research must provide solutions that cover all phases in the process life cycle.es
dc.description.sponsorshipMinisterio de Ciencia e Innovación AETHER-US PID2020-112540RB-C44es
dc.description.sponsorshipJunta de Andalucía P20-01224 (COPERNICA)es
dc.description.sponsorshipJunta de Andalucía METAMORFOSIS (US-1381375)es
dc.formatapplication/pdfes
dc.format.extent16es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofComputers in Industry, 144 (art. nº103788), 1-16.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectLogisticses
dc.subjectEvent-driven business processes
dc.subjectComplex event processinges
dc.subjectBusiness processes
dc.subjectSystematic mapping studyes
dc.subjectSystematic literature reviewes
dc.titleWhen business processes meet complex events in logistics: A systematic mapping studyes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDPID2020-112540RB-C44 (AETHER-US)es
dc.relation.projectIDP20-01224 (COPERNICA)es
dc.relation.projectIDMETAMORFOSIS (US-1381375)es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0166361522001841?via%3Dihubes
dc.identifier.doi10.1016/j.compind.2022.103788es
dc.contributor.groupUniversidad de Sevilla. TIC-258: Data-centric Computing Research Hubes
dc.journaltitleComputers in Industryes
dc.publication.volumen144es
dc.publication.issueart. nº103788es
dc.publication.initialPage1es
dc.publication.endPage16es
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). Españaes
dc.contributor.funderJunta de Andalucíaes

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