Challenges for MBSE and PLE for Legacy Product-Based System Environments

Schäfer, Michael; Bitsch, Friedemann; Weißleder, Stephan; Wartenberg, Florian

doi:10.1007/978-3-319-49103-5_1

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…Several international standards have been introduced to structure practices [5]. Current issues for the development of new methods include the coupling of existing methods with appropriated tools at large scales [6].…”

Section: Systems Engineeringmentioning

confidence: 99%

Reconciling complexities: for a stronger integration of approaches to complex socio-technical systems

Raimbault

2018

Preprint

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Systems engineering has developed a mature knowledge on how to design, integrate and manage complex industrial systems, whereas disciplines studying complex systems in nature or society also propose numerous tools for their understanding. Socio-technical systems, that situate at their intersection, could benefit from a higher integration between these. This position paper advocates for such integrated approaches. A bibliometric study through citation networks first illustrates the respective isolation of some of these approaches. We then produce a proof-ofconcept of how the transfer of concepts from biology can be useful for the design of complex systems, in the particular case of transportation networks, using a biological network growth model to produce various optimal networks in terms of cost and efficiency. We finally discuss possible disciplinary positioning of such hybrid approaches.

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Section: Systems Engineeringmentioning

confidence: 99%

Reconciling complexities: for a stronger integration of approaches to complex socio-technical systems

Raimbault

2018

Preprint

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MBSE Process Modeling Based on Development Process Space Metamodel

Wang

Liao

2022

Proceedings of the Eighth Asia International Symposium on Mechatronics

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Engineering complexity beyond the surface: discerning the viewpoints, the drivers, and the challenges

2023

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Complexity is often regarded as a “problem” to solve. Instead of attempting to solve complexity, we follow systems engineering practices and switch back to the problem domain, where a major obstacle is the impossibility to universally define complexity. As a workaround, we explored complexity characterization and its existing shortcomings, including: lack of standardization, inconsistent semantics, system-centricity, insufficiently transparent reasoning, and lack of validation. To address these shortcomings, we proposed a compilatory framework to characterize complexity using the Five Ws information-gathering method. The answer to the WHO question proposed four complexity viewpoints; the answer to the WHY question proposed a two-dimensional structure for complexity drivers; and the answer to the WHAT question derived generalized complexity challenges. As a preliminary step to show the potential of the framework to characterize complexity, we used and validated it as a tool to structure general literature related to complexity. In general, our findings suggest that papers with complexity solutions do not frame their research within the complexity problem domain, hindering the contribution evaluation. Through the viewpoints, we identified general research gaps of six solution directions. From the drivers, we noted three observations in the discourse of complexity origins: (1) a system-driven tendency, (2) a preference for concreteness vs. abstraction, and (3) an unclear distinction between origins and effects. Through the challenges’ findings we explored two hypotheses: (1) a system-centric preference; and (2) a solution-oriented vision, both of which were supported by the results (most challenges relate to the system viewpoint and challenges are defined based on solution directions).

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Challenges for MBSE and PLE for Legacy Product-Based System Environments

Cited by 3 publications

References 2 publications

Reconciling complexities: for a stronger integration of approaches to complex socio-technical systems

Reconciling complexities: for a stronger integration of approaches to complex socio-technical systems

MBSE Process Modeling Based on Development Process Space Metamodel

Engineering complexity beyond the surface: discerning the viewpoints, the drivers, and the challenges

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