Enabling complexity management through merging business process modeling with MBSE

Konrad, Christian; Jacobs, Georg; Rasor, Rik; Riedel, Ricarda; Katzwinkel, Tim; Siebrecht, Justus

doi:10.1016/j.procir.2019.04.267

Cited by 17 publications

(7 citation statements)

References 8 publications

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“…Integration of MBSE and BPMN is capable of increasing life cycle capabilities through increased abstraction and automation, ensuring that relevant artifacts, functions, and elements align with stakeholder needs [10,11]. The technical system model (MBSE) and organizational model (BPM), enable improved complexity management, communication, and process controllability throughout the entire [22]. The automation layer through this abstraction is able to reflect on different BPMN models (Processes/Orchestration, Choreographies, and Collaborations) that connect distinct processes within the organization, facilitating the conversion and coordination of workflows.…”

Section: Business Process Modelling Notationmentioning

confidence: 99%

MBSE-PLM Integration: Initiatives and Future Outlook

Gerhard

Cordero

Vingerhoeds

et al. 2023

IFIP Advances in Information and Communication Technology

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Section: Business Process Modelling Notationmentioning

confidence: 99%

MBSE-PLM Integration: Initiatives and Future Outlook

Gerhard

Cordero

Vingerhoeds

et al. 2023

IFIP Advances in Information and Communication Technology

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“…This can be achieved using matrices in the MBSE approach [90] and multicriteria analyses of the significance of the components and their relationships. Therefore, information and data must be convertible [52,64,65,73,[95][96][97][98][99][100][101][102] when moving from one industry or system to another. This can be achieved through the use of a single modeling language or common standards for all components, as well as through a meta-model, which, in this case, is a "model of a model" that maps heterogeneous lower-level models through a single higher-level model.…”

Section: Resultsmentioning

confidence: 99%

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Bolshakov,

Badenko,

Yadykin

et al. 2023

Applied Sciences

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This scientific article discusses the process of digital transformation of enterprises, analyzed as complex technical systems. Digital transformation is essential for businesses to remain competitive in the global marketplace. One of the effective tools for such a transformation is model-based systems engineering (MBSE). However, there is a gap in the practical application of knowledge regarding the uniform principles for the formation of a digital representation of complex technical systems, which limits the realization of the cross-industry potential of digital transformation in the economy. The motivation for this study is to identify common cross-industry principles for the formation of digital representations of complex technical systems that can lead companies to a sustainable and successful digital transformation. The purpose of this work is to identify and formulate these principles through an analysis of publications, using an inductive approach and classifying them by the category of application. As a result of the study, 23 principles were obtained, and the degree of their use in various industries associated with complex technical systems was determined. The results of this study will help to solve the problem of cross-industry integration and guide systemic changes in the organization of enterprises during their digital transformation.

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“…Considering the complexity of the commissioning (finality, objectives, missions, number and heterogeneity of actors, skills and fields, duration, and more) and with regard to systemic approach and its advantages, the commissioning is here considered as a system of systems (Luzeaux and Ruault 2010). Indeed, (Konrad et al 2019) shows how using MBSE to address the management of complex rocesses can be useful.…”

Section: Contributionmentioning

confidence: 99%

Model‐based Commissioning, a New Methodological Approach for Commissioning of Nuclear Basic Facilities

Gaignebet¹,

Chapurlat²,

Zacharewicz³

et al. 2021

INSIGHT

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This article intents first to formalize commissioning that must be seen as a crucial need and an unavoidable obligation. Second, it aims to introduce a method called COGuiNF (Commissioning Guidelines of Nuclear Facilities) which would allow to prepare in relation with MBSE processes then drive relevant activities for the commissioning of Nuclear Facilities. COGuiNF must define, formalize and feed the inherent relations to be managed between engineering and commissioning. This article focuses on the five components of the COGuiNF method.

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Enabling complexity management through merging business process modeling with MBSE

Cited by 17 publications

References 8 publications

MBSE-PLM Integration: Initiatives and Future Outlook

MBSE-PLM Integration: Initiatives and Future Outlook

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Model‐based Commissioning, a New Methodological Approach for Commissioning of Nuclear Basic Facilities

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