Multi-attribute optimization-based system decomposition considering several value chain stakeholder perspectives
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ORIGINAL PAPER
Multi‑attribute optimization‑based system decomposition considering several value chain stakeholder perspectives Eun Suk Suh1 · Kaushik Sinha2 · Jaemyung Ahn3 Received: 12 October 2019 / Revised: 10 June 2020 / Accepted: 22 June 2020 © The Author(s) 2020
Abstract The final architecture of a complex system reflect preferences of several value chain stakeholders on system attributes, also called “ilities”. Owing to differences in their individual roles and responsibilities, different stakeholders prefer different approaches to architect and decompose a system to optimize their attributes of interest. However, owing to increasing complexity of modern engineering systems, optimizing multiple attributes of complex systems has become challenging; moreover, very few researches have been published in this regard. Thus, to address this gap in available literature, this paper presents a multi-attribute optimization framework for complex system decomposition. The proposed framework primarily optimizes two attributes—system robustness (to the perspective of the stakeholder), and modularity—while system maintainability is considered an optimization constraint. Feasibility of the proposed framework has been demonstrated through a case study, wherein system attributes of three different mechanical clock models having different architectures were optimized. Keywords Multi-attribute optimization · Robustness · Modularity · Maintainability
1 Introduction System architecture selection and decomposition is one of the most important processes that determine the success or failure of a system. It is the key responsibility of the system architect to generate the most optimal system architecture and decompose the chosen architecture into a subsystem configuration that optimizes various system attributes. Additionally, this aspect considerably influences downstream design processes. Given the escalating demand for superior system performance, implementation of latest technologies, and increasing pressure to reduce development time as
* Eun Suk Suh [email protected] 1
Graduate School of Engineering Practice, Institute of Engineering Research, Seoul National University, 1 Gwanak‑ro, Gwanak‑gu, Seoul 08826, Republic of Korea
2
Sociotechnical Systems Research Center, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
3
Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak‑ro, Yuseong‑gu, Daejeon 34141, Republic of Korea
well as lifecycle costs, the front-end system architecting has assumed critical importance. Designing complex systems requires the participation of several value chain stakeholders who attempt to optimize particular system attributes, which are critical to the success of the system being designed. These attributes include system complexity, performance, modularity, and maintainability. Based on their responsibilities, the stakeholders involved seek to optimize different system attributes. For example, s
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