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Value-driven Model-Based Optimization coupling Design-Manufacturing-Supply Chain in the Early Stages of Aircraft Development: Strategy and Preliminary Results
EC| AGILE 4.0
Donelli, Giuseppa; Ciampa, Pier Davide; Lefebvre, Thierry; Bartoli, Nathalie; Mello, João M.G.; Odaguil, Felipe I.K.; van der Laan, T.;
Donelli, Giuseppa; Ciampa, Pier Davide; Lefebvre, Thierry; Bartoli, Nathalie; Mello, João M.G.; Odaguil, Felipe I.K.; van der Laan, T.;
Value-driven Model-Based Optimization coupling Design-Manufacturing-Supply Chain in the Early Stages of Aircraft Development: Strategy and Preliminary Results
A value-driven model-based approach concurrently coupling design, manufacturing and supply chain in the early development stage of aircraft design has been developed within the European project AGILE4.0. The benefits of using this methodology have been highlighted by the aeronautical application case focused on the design, manufacturing and supply chain of an horizontal tail plane. Finding a Pareto-front simultaneously optimizing the design, manufacturing and supply chain domains is the next challenge to face. The research activity proposed in this paper represents the first step of this ambitious goal. The objective is to identify the optimization strategy to use for the global optimization campaign by exploring, first, simple and representative Multidisciplinary Design and Optimization (MDO) problems related to the supply chain domain. In the first MDO problem, a 4-objective optimization is executed and then the optimized attributes are aggregated in a single measure named value. In the second MDO problem instead, attributes are first aggregated in a value and then a bi- objective value-cost optimization is executed. Thus, two optimization strategies are investigated, but both lead to the value-cost Pareto-front investigation. The application case addressed in this research activity provides interesting insights for the value-driven optimization strategy to use for future-complex optimization problems involving design, manufacturing and supply chain domains.
Germany
manufacturing, Multidisciplinary Design and Optimization, MBSE, Value engineering, MDO, supply chain, aircraft design
manufacturing, Multidisciplinary Design and Optimization, MBSE, Value engineering, MDO, supply chain, aircraft design
2713
[1] EC INEA Agency, AGILE4.0 Project Consortium, "Grant Agreement Number 815122 - AGILE4.0," 2019.
[2] “AGILE Aircraft 3rd Generation MDO for Innovative Collaboration of Heterogeneous Teams of Experts,” [Online]. Available: http://www.agile-project.eu. [Accessed 25 10 2020].
[3] P. D. Ciampa and B. Nagel, "Accelerating the Development of Complex Systems in Aeronautics via MBSE and MDAO: a Roadmap to Agility," in AIAA AVIATION 2021 FORUM, VIRTUAL EVENT, 2021. [OpenAIRE]
[4] G. Donelli, P. D. Ciampa, M. J. Mello, I. F. Odaguil, F. G. Lemos, P. A. Cuco, T. Van der Laan and B. Nagel, in AIAA Conference, Virtual, 2020.
[5] A. M. Ross, D. H. Rhodes and M. E. Fitzgerald, "Interactive value model trading for resilient systems decisions.," Procedia Computer Science, vol. 44, pp. 639-648., 2005.
[6] L. Boggero, P. D. Ciampa and B. Nagel, “An MBSE Architectural Framework for the Agile Definition of System Stakeholders, Needs and Requirements,” in AIAA AVIATION FORUM - To be submitted, Washington (US-DC), 2021. [OpenAIRE]
[7] P. D. Ciampa, B. Nagel and G. La Rocca, “A MBSE Approach to MDAO Systems for the Development of Complex Products,” in AIAA Aviation , 2020. [OpenAIRE]
[8] L. Boggero, P. D. Ciampa and B. Nagel, “An MBSE Architectural Framework for the Agile Definition of Complex System Architectures,” in AIAA Conference, Chicago, TO BE ACCEPTED, 2022. [OpenAIRE]
[9] J. H. Bussemaker, L. Boggero and P. D. Ciampa, “From System Architecting to System Design and Optimization: A Link Between MBSE and MDAO,” in INCOSE International Symposium, June 2022. [OpenAIRE]
[10] N. Bartoli, T. Lefebvre, S. Dubreuil, R. Olivanti, R. Priem, N. Bons, J. Martins and J. Morlier, "Adaptive modeling strategy for constrained global optimization with application to aerodynamic wing design," Aerospace Science and technology, vol. 90, pp. 85-102, 2019.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 181 downloads 132 citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average - 181views132downloads
citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
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Top 10%
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A value-driven model-based approach concurrently coupling design, manufacturing and supply chain in the early development stage of aircraft design has been developed within the European project AGILE4.0. The benefits of using this methodology have been highlighted by the aeronautical application case focused on the design, manufacturing and supply chain of an horizontal tail plane. Finding a Pareto-front simultaneously optimizing the design, manufacturing and supply chain domains is the next challenge to face. The research activity proposed in this paper represents the first step of this ambitious goal. The objective is to identify the optimization strategy to use for the global optimization campaign by exploring, first, simple and representative Multidisciplinary Design and Optimization (MDO) problems related to the supply chain domain. In the first MDO problem, a 4-objective optimization is executed and then the optimized attributes are aggregated in a single measure named value. In the second MDO problem instead, attributes are first aggregated in a value and then a bi- objective value-cost optimization is executed. Thus, two optimization strategies are investigated, but both lead to the value-cost Pareto-front investigation. The application case addressed in this research activity provides interesting insights for the value-driven optimization strategy to use for future-complex optimization problems involving design, manufacturing and supply chain domains.