dc.creator | Ramos Gutiérrez, Belén | es |
dc.creator | Reina Quintero, Antonia María | es |
dc.creator | Parody Núñez, María Luisa | es |
dc.creator | Gómez López, María Teresa | es |
dc.date.accessioned | 2022-11-02T10:51:06Z | |
dc.date.available | 2022-11-02T10:51:06Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Ramos 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.issn | 0166-3615 | es |
dc.identifier.issn | 1872-6194 | es |
dc.identifier.uri | https://hdl.handle.net/11441/138587 | |
dc.description.abstract | Logistics 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.sponsorship | Ministerio de Ciencia e Innovación AETHER-US PID2020-112540RB-C44 | es |
dc.description.sponsorship | Junta de Andalucía P20-01224 (COPERNICA) | es |
dc.description.sponsorship | Junta de Andalucía METAMORFOSIS (US-1381375) | es |
dc.format | application/pdf | es |
dc.format.extent | 16 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Computers in Industry, 144 (art. nº103788), 1-16. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Logistics | es |
dc.subject | Event-driven business process | es |
dc.subject | Complex event processing | es |
dc.subject | Business process | es |
dc.subject | Systematic mapping study | es |
dc.subject | Systematic literature review | es |
dc.title | When business processes meet complex events in logistics: A systematic mapping study | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | PID2020-112540RB-C44 (AETHER-US) | es |
dc.relation.projectID | P20-01224 (COPERNICA) | es |
dc.relation.projectID | METAMORFOSIS (US-1381375) | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0166361522001841?via%3Dihub | es |
dc.identifier.doi | 10.1016/j.compind.2022.103788 | es |
dc.contributor.group | Universidad de Sevilla. TIC-258: Data-centric Computing Research Hub | es |
dc.journaltitle | Computers in Industry | es |
dc.publication.volumen | 144 | es |
dc.publication.issue | art. nº103788 | es |
dc.publication.initialPage | 1 | es |
dc.publication.endPage | 16 | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | Junta de Andalucía | es |