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Explicating System Value through First Principles: Re‐Uniting Decision Analysis with Systems Engineering
Author(s) -
Peterson Troy,
Schindel Bill
Publication year - 2016
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2016.00146.x
Subject(s) - system of systems engineering , system of systems , process (computing) , computer science , value (mathematics) , stakeholder , requirements engineering , systems science , systems engineering , management science , systems analysis , complex system , systems thinking , biological systems engineering , engineering management , systems design , engineering , civil engineering software , software engineering , artificial intelligence , management , software , machine learning , economics , programming language , operating system
Abstract System complexity continues to grow, creating many new challenges for engineers and decision makers. To maximize value delivery, “both” Systems Engineering and Decision Analysis are essential. The systems engineering profession has had a significant focus on improving systems engineering processes. While process plays an important role, the focus on process was often at the expense of foundational engineering axioms and their contribution to system value. As a consequence, Systems Engineers were viewed as process developers and managers versus technical leaders with a deep understanding of how system interactions are linked to stakeholder value‥ With the recent shift toward Model Based Systems Engineering (MBSE), Systems Engineering is “getting back to basics,” focusing on value delivery via first principles, using established laws of engineering and science. This paper describes how Pattern Based Systems Engineering (PBSE), as outlined within INCOSE's Model Based Systems Engineering (MBSE) initiative, explicates system value through modeling of first principles, re‐uniting Systems Engineering and Decision Analysis capabilities.