Volume 1 - 2022: System of System Lifecycle Management
The latest issue of Systems of Systems Lifecycle Management brings together cutting-edge research and insights that address the multifaceted challenges and opportunities within complex, interdependent systems. This issue delves into cutting-edge advancements that leverage AI-driven methodologies to enhance interoperability, resilience, and sustainability across systems of systems based on the MPLM 2018 symposium.
Highlighted articles explore:
- AI-Powered Integration Frameworks: Innovative approaches using AI to enable seamless data sharing and interoperability among diverse systems, fostering enhanced collaboration and streamlined coordination.
- Resilience Engineering Reinvented with AI: Research on AI-driven fault detection, recovery mechanisms, and adaptability models that ensure systems remain functional and efficient under evolving conditions.
- Sustainable Lifecycle Management Through AI: Analyses of AI-based tools that optimize resource efficiency, conduct lifecycle impact assessments, and support circular economy principles in system design and operation.
- AI in Model-Based Systems Engineering (MBSE) and Digital Twins: Case studies on the integration of AI into MBSE and digital twin technologies, showcasing how predictive analytics and real-time insights can transform system performance and decision-making.
- AI-Enhanced Cybersecurity in Interconnected Systems: Investigations into AI-powered cybersecurity strategies to safeguard data integrity and functionality in highly integrated and vulnerable networks.
This collection underscores the transformative potential of AI in PLM, providing researchers, practitioners, and policymakers with state-of-the-art frameworks, tools, and strategies. By aligning AI capabilities with PLM principles, this issue offers actionable insights to drive adaptability, resilience, and sustainability in the rapidly evolving landscape of systems of systems.
