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.

中文翻译：

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考虑多个价值链利益相关者视角的基于多属性优化的系统分解

复杂系统的最终架构反映了多个价值链利益相关者对系统属性（也称为“效用”）的偏好。由于他们个人角色和职责的差异，不同的利益相关者更喜欢不同的方法来构建和分解系统以优化他们感兴趣的属性。然而，由于现代工程系统日益复杂，优化复杂系统的多个属性变得具有挑战性；此外，在这方面发表的研究很少。因此，为了解决现有文献中的这一差距，本文提出了一种用于复杂系统分解的多属性优化框架。提议的框架主要优化了两个属性——系统健壮性（从利益相关者的角度来看），和模块化——而系统可维护性被认为是一个优化约束。通过案例研究证明了所提出框架的可行性，其中优化了具有不同架构的三种不同机械时钟模型的系统属性。