Integrating Environmental Impacts with SysML in MBSE Methods

Bougain, Sébastien; Gerhard, Detlef

doi:10.1016/j.procir.2016.11.196

Cited by 16 publications

(14 citation statements)

References 5 publications

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“…SysML behavior models are used to model the usage phase by estimating how often a use case is conducted during the product life cycle and taking its impact into account. A limitation the authors identify is the difficulty for companies to implement this tool as links between different data management systems are needed (Bougain and Gerhard (2017)). A different approach proposed by Buchert et al uses Property Driven Development to connect product properties with desired environmental effects during the early design phases (Buchert et al, 2016).…”

Section: Model-based Systems Engineering and Sustainabilitymentioning

confidence: 99%

“…Previous research, e.g., Bougain and Gerhard (2017); Buchert et al (2016), shows that the information provided by a SysML model can be helpful when performing LCSA. The SysML model contains links to material and CAD data, and both combined were used to calculate Green House Gas Potential (GHGP) and Cumulative Energy Demand (CED) (Bougain and Gerhard (2017)). The Manufacturing Process and worktime, extracted from the ERP system, are used to calculate the GHGP and CED impacts of the manufacturing phase.…”

Section: Model-based Systems Engineering and Sustainabilitymentioning

confidence: 99%

See 1 more Smart Citation

Detection of Cause-Effect Relationships in Life Cycle Sustainability Assessment Based on an Engineering Graph

et al. 2022

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Although Life Cycle Sustainability Assessments (LCSA) are important in evaluating the sustainability of complex products and services, there is no sufficient support for engineers performing LCSA. The concept of an Engineering Graph focuses on the relations of data within engineering. It provides a model that leverages existing data in engineering and extendibility to include specialized databases and open and public data from the semantic web. This paper proposes a concept of how Engineering Graphs can be used to address the issues of LCSA and support engineers.

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Section: Model-based Systems Engineering and Sustainabilitymentioning

confidence: 99%

Section: Model-based Systems Engineering and Sustainabilitymentioning

confidence: 99%

Detection of Cause-Effect Relationships in Life Cycle Sustainability Assessment Based on an Engineering Graph

et al. 2022

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“…Ausgewählte Methoden und Modelle aus des MBSE zur Unterstützung des Entwicklungsprozesses schlagen Husung et al [19] vor. Erste Ansätze zur Integration von Informationen für die Bewertung von Umweltwirkungen in ein SysML-Modell werden in [20] beschrieben. In diesem Beitrag wird aufgezeigt, wie bestehende Methoden des MBSE für die Durchführung von LCA-Studien genutzt werden können.…”

Section: Model-based Systems Engineeringunclassified

“…Ansätze zur Verknüpfung und Bereitstellung von Informationen für die LCA; Links: Aggregation von Informationen in ein Produktobjekt nach[7], Rechts: Integration von LCA-Daten in ein SysML-Modell nach[20] Neben verschiedenen Attributen wie z.B. spezifische Energie oder Gewicht werden in einem PO Verknüpfung zu den Modellen der Lebenszyklusphasen (Rohmaterial, Herstellung, Nutzung, End-of-Life) angegeben, siehe Bild 4 links.…”

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Potentials of integrating MBSE and LCA to handle uncertainties and variants in early design stages

Inkermann¹

2022

DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)

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There is an increasing need to support the evaluation of the environmental impacts of product concepts in early desig stages. However, the application of Life Cycle Assessment is challenged by the complexity of modern products and a lack of data consistency. This paper indicates basic potentials of integrating Model-based Systems Engineering and Life Cycle Assessement by systematically reviewing the uncertainties in the first two phases of an LCA as well as challenges in handling of product variants and differing use cases. To ensure more efficient application and data handling a first concept for the methodical integration as well as the integration of data is proposed. Based on the analysis and initial concept fields for futher research are derived.

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“…Limitations are the lack of modelling of assembly processes, the transport phases and the necessary connection of the tool to the various databases or IT systems in the company context. (Bougain & Gerhard, 2017) Halstenberg et al describe an approach for the development of sustainable product-service-systems (PSS), consisting of a method, (modelling) language and software tool. The focus is on the development of the PSS as well as the integration of circular economy (CE) design principles into the development.…”

Section: Sakao Et Al Describe a Vision Of Ai-based Lifecycle Engineer...mentioning

confidence: 99%

Review: Model-based Systems Engineering and Artificial Intelligence for Engineering of Sustainable Systems – What contribution can systems engineering and artificial intelligence provide for the engineering of sustainable systems as of today?

Schneider¹,

Riedel²,

Bauer³

2022

Digitization of the Work Environment for Sustainable Production

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Advanced Systems Engineering (ASE) is a paradigm for the efficient design and creation of tomorrow's products and services. Challenges, which the new paradigm addresses, are the increasing complexity of products and systems, increasing requirements from the regulatory side as well as the sustainability and manageability of the systems. Advanced Systems Engineering offers a variety of approaches for handling the requirements mentioned before. This paper focuses on supporting the handling of the increasing complexity and the requirements for sustainability of systems by the combined use of Model-based Systems Engineering (MBSE) and Artificial Intelligence (AI) in the early phase of product development. First, the paradigms and approaches ASE, MBSE, sustainability, and AI are presented. Subsequently, the current state of the art in the intersection of the described topics is explained in the context of a literature review. The methodology applied here follows the Systematic Literature Review approach. Based on this, potentials and white spots in research are identified and described. The paper concludes with recommendations for connecting to future research in the areas described.

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Integrating Environmental Impacts with SysML in MBSE Methods

Cited by 16 publications

References 5 publications

Detection of Cause-Effect Relationships in Life Cycle Sustainability Assessment Based on an Engineering Graph

Detection of Cause-Effect Relationships in Life Cycle Sustainability Assessment Based on an Engineering Graph

Potentials of integrating MBSE and LCA to handle uncertainties and variants in early design stages

Review: Model-based Systems Engineering and Artificial Intelligence for Engineering of Sustainable Systems – What contribution can systems engineering and artificial intelligence provide for the engineering of sustainable systems as of today?

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