Date of Award
Doctor of Philosophy (PhD)
Ji Hyon Mun
C. Ariel Pinto
Today's political and military reality requires the optimal use of our legacy systems. The objective is to maximize the effectiveness of our operations by efficient allocation, placement and the use of our forces and war-fighting systems. The synergism drawn from the capabilities of the legacy complex systems enables today's war-fighting needs to be met without substantial increase in cost or resources. This synergism can be realized by the effective integration and interoperation of legacy systems into a larger, more complex system of systems.
However, the independently developed legacy systems in this new tactical environment often have different data types, languages, data modeling, operating systems, etc. These differences are impediments to the requirement for interoperability, and can create an environment of confusion, misinformation and certainly un-interoperability, hence hinder the safe interoperation of the metasystem and potentially increase the risk for mishaps. Safe interoperability capability assures that the mission objectives are achieved not only effectively but also safely.
The System Safety Interoperability Framework (SSIF) introduced in this dissertation provides the framework for the engineering community to evaluate, from system safety perspective, the interoperability issues between multiple complex systems in the U.S. Navy's system of systems context. SSIF characterization attributes are System of Systems (SoS) tactical environment, SoS Engineering, SoS Safety Engineering, and Safety Critical Data. SSIF is applied to AEGIS Ballistic Missile Defense 3.0 Program to explore and analyze the safety interoperability issues in the overall system, by which the SSIF is further validated as an effective approach in analyzing the safe interoperability capability in Navy's combat systems.
Alborzi, Showkat S..
"A Conceptual Framework for Analysis of System Safety Interoperability of United States Navy's Combat Systems"
(2005). Doctor of Philosophy (PhD), dissertation, Engineering Management, Old Dominion University, DOI: 10.25777/4cm8-6763