Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2157
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dc.creatorVještica, Marko
dc.creatorDimitrieski, Vladimir
dc.creatorPisarić, Milan
dc.creatorKordić, Slavica
dc.creatorRistić, Sonja
dc.creatorLuković, Ivan
dc.date.accessioned2023-05-12T11:33:23Z-
dc.date.available2023-05-12T11:33:23Z-
dc.date.issued2021
dc.identifier.issn2590-1184
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/2157-
dc.description.abstractThe fourth industrial revolution introduces changes in traditional manufacturing systems and creates basis for a lot-size-one production. The complexity of production processes is significantly increased, alongside the need to enable efficient process simulation, execution, monitoring, real-time decision making and control. The main goal of our research is to define a methodological approach and a software solution in which the Model-Driven (MD) principles and Domain-Specific Modeling Languages (DSMLs) are used to create a framework for the formal description and automatic execution of production processes. In that way production process models are used as central artifacts to manage the production. In this paper, we analyze production process modeling domain and present a DSML which can be used to create production process models suitable for automatic generation of executable code. The generated code is used for automatic execution of production processes within a simulation or a shop floor. The language can be used to specify errors that may occur during the process execution and to specify error handling and corrective steps, too. The DSML is evaluated by different groups of users and the evaluation results are presented. Both the DSML and the accompanying modeling tool are still in the prototype phase, as they are created and evaluated in use cases covering just the assembly of goods. To enable wider application of the language and the tool, it is required to have additional use cases from different manufacturing domains.en
dc.publisherElsevier Sci Ltd, Oxford
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200156/RS//
dc.relationKEBA AG Linz, Austria
dc.rightsrestrictedAccess
dc.sourceJournal of Computer Languages
dc.subjectProduction process modelingen
dc.subjectProcess executionen
dc.subjectModel-Driven engineeringen
dc.subjectIndustry 4en
dc.subjectEvaluationen
dc.subjectDomain-Specific Modeling Languagesen
dc.titleMulti-level production process modeling languageen
dc.typearticle
dc.rights.licenseARR
dc.citation.other66: -
dc.citation.rankM23
dc.citation.volume66
dc.identifier.doi10.1016/j.cola.2021.101053
dc.identifier.rcubconv_2565
dc.identifier.scopus2-s2.0-85114117964
dc.identifier.wos000704990200001
dc.type.versionpublishedVersion
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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