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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
hal.structure.identifierLaboratoire des Sciences des Risques [LSR]
dc.contributor.authorZACHAREWICZ, Gregory
dc.contributor.authorPIRAYESH NEGHAB, Amir
dc.contributor.authorSEREGNI, Marco
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorDUCQ, Yves
ORCID: 0000-0001-5144-5876
IDREF: 119003791
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorDOUMEINGTS, Guy
dc.date.accessioned2021-03-18T08:36:47Z
dc.date.available2021-03-18T08:36:47Z
dc.date.issued2018-07
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/26717
dc.description.abstractEnIndustrial enterprises are gradually integrating Modeling & Simulation (M&S) approaches to support their management processes and to keep themselves competitive in the market by handling and connecting more efficiently their key information. On the one hand, several modeling solutions exist, with different views or abstraction levels, which are not always compatible; on the other hand, the usage of simulation for enterprise management should be aligned with the nature of decision-making. This hinders the choice of an adapted M&S solution. To facilitate the resolution of this issue, this chapter mainly proposes to apply Model Driven Service Engineering Architecture (MDSEA) , which guides the usage of M&S for enterprise management at business/technical levels or with static/dynamic points of view. In its first part, the chapter focuses on different state-of-the-art elements (e.g., Enterprise Modeling, Discrete Event Simulation, etc.) which support the development of a simulation-aided decision making cycle for enterprise management. Simulation models involved in this cycle can be gradually created from transformation of high-level or static models. An example of such transformation is described in the second part of this chapter. The objective is to move from BPMN 2.0 (Business Process Model and Notation) to DEVS (Discrete EVent Specification) which is a simulation-ready language. The second part ends by presenting a use-case and the implemented open-source software, called Service Lifecycle Management Tool Box (SLMToolBox). The chapter is concluded by discussing the propositions and the perspectives, particularly simulation of decision models for enterprise management.
dc.language.isoENen_US
dc.subject.enSimulation
dc.subject.enBpmn
dc.subject.enMdsea
dc.subject.enMda
dc.subject.enMde
dc.subject.enDevs
dc.subject.enM&S
dc.subject.enBusiness Process
dc.subject.enDecision Aid
dc.subject.enEa*
dc.subject.enEnterprise Management
dc.subject.enEnterprise Modeling
dc.subject.enGrai
dc.subject.enHierarchical Decomposition
dc.subject.enInteroperability System
dc.subject.enMdi
dc.subject.enModel Transformation Atl
dc.subject.enSlmtool Box
dc.title.enSimulation-Based Enterprise Management
dc.typeChapitre d'ouvrageen_US
dc.identifier.doi10.1007/978-3-319-61264-5_12en_US
dc.subject.halSciences de l'ingénieur [physics]/Autreen_US
bordeaux.page261-289en_US
bordeaux.hal.laboratoriesLaboratoire d’Intégration du Matériau au Système (IMS) - UMR 5218en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.inpressnonen_US
hal.exportfalse
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