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Robert Cloutier

Researcher at Stevens Institute of Technology

Publications -  76
Citations -  774

Robert Cloutier is an academic researcher from Stevens Institute of Technology. The author has contributed to research in topics: System of systems & Process (engineering). The author has an hindex of 13, co-authored 68 publications receiving 672 citations. Previous affiliations of Robert Cloutier include University of South Alabama & Sewanee: The University of the South.

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The Concept of Reference Architectures

TL;DR: This paper examines current Reference Architectures and the driving forces behind development of them to come to a collective conclusion on what a Reference Architecture should truly be.
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Transitioning Systems Thinking to Model-Based Systems Engineering: Systemigrams to SysML Models

TL;DR: This paper presents a method for capturing a problem through systemigrams and the Boardman soft systems methodology and then directly translating theSystemigrams into SysML diagrams and demonstrates how the proposed approach was applied on a problem being considered by the U.S. Army-Contingency Basing for Small Combat Units.
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Applying the concept of patterns to systems architecture

TL;DR: Recommendations for the development and management of a systems architecting and architecting pattern repository are offered and a historical introduction to the concept of patterns is provided.
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Simulation Approaches for System of Systems: Events-based versus Agent Based Modeling☆

TL;DR: This work reviews different modeling techniques and uses two converse techniques, i.e. agent-based and event-based modeling, to run a simulation of hypothetical systems collaborating into a SoS, and results indicate an agent- based modeling approach would achieve a characterization model better with validation achieved through an event- based approach.
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Exploring the Impact of Systems Architecture and Systems Requirements on Systems Integration Complexity

TL;DR: A research framework is developed to understand the cause-and-effect relationships between system requirements, architecture, and integration process and proposes recommendations based on the causality results.