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Smart manufacturing scheduling: A literature review

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Smart manufacturing scheduling: A literature review

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dc.contributor.author Serrano-Ruiz, Julio C. es_ES
dc.contributor.author Mula, Josefa es_ES
dc.contributor.author Poler, R. es_ES
dc.date.accessioned 2022-06-08T18:06:15Z
dc.date.available 2022-06-08T18:06:15Z
dc.date.issued 2021-10 es_ES
dc.identifier.issn 0278-6125 es_ES
dc.identifier.uri http://hdl.handle.net/10251/183139
dc.description.abstract [EN] Within the scheduling framework, the potential of digital twin (DT) technology, based on virtualisation and intelligent algorithms to simulate and optimise manufacturing, enables an interaction with processes and modifies their course of action in time synchrony in the event of disruptive events. This is a valuable capability for automating scheduling and confers it autonomy. Automatic and autonomous scheduling management can be encouraged by promoting the elimination of disruptions due to the appearance of defects, regardless of their origin. Hence the zero-defect manufacturing (ZDM) management model oriented towards zero-disturbance and zero-disruption objectives has barely been studied. Both strategies combine the optimisation of production processes by implementing DTs and promoting ZDM objectives to facilitate the modelling of automatic and autonomous scheduling systems. In this context, this particular vision of the scheduling process is called smart manufacturing scheduling (SMS). The aim of this paper is to review the existing scientific literature on the scheduling problem that considers the DT technology approach and the ZDM model to achieve self-management and reduce or eliminate the need for human intervention. Specifically, 68 research articles were identified and analysed. The main results of this paper are to: (i) find methodological trends to approach SMS models, where three trends were identified; i.e. using DT technology and the ZDM model, utilising other enabling digital technologies and incorporating inherent SMS capabilities into scheduling; (ii) present the main SMS alignment axes of each methodological trend; (iii) provide a map to classify the literature that comes the closest to the SMS concept; (iv) discuss the main findings and research gaps identified by this study. Finally, managerial implications and opportunities for further research are identified. es_ES
dc.description.sponsorship This work was supported by the Spanish Ministry of Science, Innovation and Universities project entitled 'Optimisation of zero-defects production technologies enabling supply chains 4.0 (CADS4.0) ' (RTI2018-101344-B-I00) , the European Union H2020 research and innovation programme with grant agreement No. 825631 "Zero Defect Manufacturing Platform (ZDMP) " and the European Union H2020 research and innovation programme with agreement No. 958205 "In-dustrial Data Services for Quality Control in Smart Manufacturing (i4Q) ". es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Manufacturing Systems es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Smart manufacturing es_ES
dc.subject Scheduling es_ES
dc.subject Digital twin es_ES
dc.subject Zero-defect manufacturing es_ES
dc.subject Industry 4.0 es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Smart manufacturing scheduling: A literature review es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jmsy.2021.09.011 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-101344-B-I00/ES/OPTIMIZACION DE TECNOLOGIAS DE PRODUCCION CERO-DEFECTOS HABILITADORAS PARA CADENAS DE SUMINISTRO 4.0/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/825631/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/958205/EU es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Serrano-Ruiz, JC.; Mula, J.; Poler, R. (2021). Smart manufacturing scheduling: A literature review. Journal of Manufacturing Systems. 61:265-287. https://doi.org/10.1016/j.jmsy.2021.09.011 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.jmsy.2021.09.011 es_ES
dc.description.upvformatpinicio 265 es_ES
dc.description.upvformatpfin 287 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 61 es_ES
dc.relation.pasarela S\446681 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES
upv.costeAPC 3497 es_ES


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