Systems Engineering · 2011 · 107 citations · 43 references
EngineeringSystems EngineeringSystems ArchitectureSystems DesignSystems ModelingDomain AnalysisSystem DiagramsSystem RepresentationSystems Engineering Processes
Engineered systems are becoming increasingly complex, driven by expanding markets, advanced technologies, higher consumer expectations, and evolving social needs, which demand that engineers view technology as part of a larger whole, yet current modeling frameworks are insufficient to capture this complexity. The paper proposes a conceptual and improved modeling framework for engineering systems. The framework introduces a clear, concise structure and a methodology for tagging and organizing system information to enhance collection, storage, processing, and analysis of engineering data. The framework enables engineers and managers to visually arrange information and structure discourse, facilitating better systems engineering. © 2011 Wiley Periodicals, Inc.
Abstract The scope and complexity of engineered systems are ever‐increasing as burgeoning global markets, unprecedented technological capabilities, rising consumer expectations, and ever‐changing social requirements present difficult design challenges that often extend beyond the traditional engineering paradigm. These challenges require engineers and technical managers to treat the technological systems as a part of a larger whole. Existing system modeling frameworks are limited in scope for representing the information about engineering systems. This paper presents a conceptual framework and an improved modeling framework for engineering systems. Its value is that it allows engineers and managers an improved means to visually arrange information and structure discourse in a way that facilitates better systems engineering. It augments the existing literature by providing a clear and concise framework for an engineering system, and provides a methodology for engineers to tag and organize systems information in ways that allow for better collection, storage, processing, and analysis of systems engineering data. © 2011 Wiley Periodicals, Inc.
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