TLDR: This paper addresses the challenges of managing modern products as interconnected ‘Systems of Systems’ (SoS) rather than isolated items. It proposes a framework combining Model-Based Systems Engineering (MBSE) for structure, Product Lifecycle Management (PLM) for governance, CAD-CAE for design, and Digital Thread/Twin for continuous feedback. The authors outline four principles and a three-step roadmap for transitioning to network-centric development, aiming for increased robustness, efficiency, and sustainability, while acknowledging adoption hurdles.
In today’s rapidly evolving technological landscape, the way we perceive and manage products is undergoing a fundamental transformation. No longer are products isolated entities; instead, they are increasingly becoming interconnected nodes within vast, complex networks known as Systems of Systems (SoS). This shift presents significant challenges to traditional lifecycle management approaches, which were designed for simpler, linear product development.
The research paper, “From product to system network challenges in system of systems lifecycle management,” by Vahid Salehi, Shirui Wang, and Josef Vilsmeier, delves into these challenges and proposes a practical framework to navigate the complexities of SoS lifecycle management. The authors highlight that conventional lifecycle models are struggling to cope with the demands of interoperability across disciplines, intricate variant and configuration management, end-to-end traceability, and governance spanning multiple organizational boundaries.
The Need for a New Approach
The core issue is that products now integrate mechanical, electrical, software, and service-based subsystems, leading to characteristics like operational independence, emergent behavior, and evolutionary development. This makes managing dependencies and interactions across system boundaries incredibly difficult with old methods. Simply versioning an individual product is no longer sufficient; what’s needed is comprehensive transparency across requirements, architecture, behavior, interfaces, and configurations, ideally maintained through models from design to operation.
A Comprehensive Framework for SoS Lifecycle Management
The paper proposes a robust framework built on several key pillars. First, Model-Based Systems Engineering (MBSE) serves as the semantic backbone, providing a common language and structure for describing requirements, system behavior, interfaces, and structures. It helps in understanding the bigger picture and identifying interdependencies early on. Second, Product Lifecycle Management (PLM) acts as the governance and configuration level, managing variant control, change processes, configuration sovereignty, and integrating various specialist disciplines to prevent data silos. Third, CAD-CAE tools are integrated as model-derived domains, ensuring that 3D design artifacts are not only linked to the system model but also derived from it and fed back into it, maintaining consistency. Finally, Digital Thread and Digital Twin provide continuous feedback loops by linking operational and service data with design and architecture. A digital twin, when based on system models and PLM configurations, ensures consistency in changes, variants, and field data, allowing for active control and analysis of system networks.
Four Guiding Principles
Based on current literature and industry experience in sectors like mobility, healthcare, and the public sector, the authors identify four crucial principles for effective SoS lifecycle management. These include establishing referenced architecture and data models, achieving end-to-end configuration sovereignty instead of relying on tool silos, maintaining curated models with clear review gates, and focusing on measurable value contributions along time, quality, cost, and sustainability.
A Three-Step Roadmap for Transition
The paper outlines a practical three-step roadmap to transition from product-centric to network-centric development. This roadmap involves piloting with reference architecture, scaling across variant and supply chain spaces, and finally, organizational anchoring through clearly defined roles, comprehensive training, and compliance measures.
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Benefits and Overcoming Hurdles
The successful implementation of this framework promises increased change robustness, shorter throughput times, improved reuse of components and designs, and more informed sustainability decisions. However, the authors acknowledge significant adoption hurdles, including perceived complexity, lack of compatibility with existing practices, and a scarcity of reference models. Success factors include domain-specific approaches, starting with pilot use cases, clear ownership and governance via PLM, and establishing model curation as a discipline.
Sustainability is also a critical dimension, emphasizing that ecological and social aspects must be anchored in the model and data governance system from the outset, rather than being an afterthought. This holistic view ensures that material use, reparability, recyclability, and service life are considered throughout the lifecycle.
This comprehensive approach aims to make complexity manageable and design SoS value streams to be scalable, offering a pathway for decision-makers and practitioners to thrive in the age of system networks. For more in-depth information, you can access the full research paper here.
