Engineering and Technology
| Open Access | Integrated Systems Engineering and Resilient Computational Architectures: A Multi-Disciplinary Analysis of Design of Experiments, Risk-Based Maintenance, And Reactive Execution in Distributed Environments
Dr. Alistair J. Sterling , Department of Systems Engineering, University of Strathclyde, United KingdomAbstract
This research presents a comprehensive synthesis of contemporary methodologies in systems engineering, ranging from physical manufacturing and pharmaceutical optimization to the resilience of distributed computational architectures. By integrating the principles of Design of Experiments (DoE) with advanced risk-based maintenance and reactive execution models, this article establishes a unified framework for operational integrity. We explore the historical evolution and conceptual relevance of DoE in pharmaceutical and in vitro contexts, emphasizing its role in navigating complex variable interactions. Simultaneously, the study delves into the critical requirements of subsea and naval vessel maintenance, utilizing dynamic models for corrosion risk and multi-objective decision-making. Transitioning to the digital frontier, the research evaluates the performance of consensus protocols and leader election mechanisms in distributed systems, proposing reactive execution models to ensure resilience in high-volume operations. The analysis concludes that the convergence of statistical design, predictive maintenance, and fault-tolerant computational logic is essential for the next generation of industrial and digital infrastructure. This multi-disciplinary approach addresses existing gaps in literature regarding the cross-application of physical engineering reliability to virtual system availability.
Keywords
Design of Experiments, Distributed Systems, Risk-Based Maintenance
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Copyright (c) 2025 Dr. Alistair J. Sterling
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