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Framework for Improving Complex System Performance
Author(s) -
Keating Charles B.,
Katina Polinpapilinho F.,
Jaradat Ra'ed,
Bradley Joseph M.,
Hodge Richard
Publication year - 2019
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2019.00664.x
Subject(s) - variety (cybernetics) , software deployment , computer science , complex system , ambiguity , function (biology) , systems engineering , resource (disambiguation) , performance improvement , system of systems , risk analysis (engineering) , process management , management science , systems design , engineering , artificial intelligence , software engineering , operations management , business , computer network , biology , programming language , evolutionary biology
This paper introduces a framework for improvement of complex system performance. Complex systems are besieged with conditions marked by increasing uncertainty, emergence, and ambiguity. Additionally, demands for increased productivity, resource efficiencies, and performance improvement make new approaches paramount for modern systems engineers. In response, a framework to improve complex system performance is developed. Following an introduction, the paper pursues four objectives: (1) introduction of Complex System Governance (CSG) as a foundation to describe essential system functions, (2) suggest system ‘pathologies’ as an explanation for deep system performance issues, (3) exploration of system performance improvement as a function of ‘requisite variety’ to compensate for deep system issues, and (4) introduce a framework for complex system performance improvement using system pathologies as ‘unab‐sorbed variety’. The paper closes with some challenges for further development of the framework for deployment and application guidance for practitioners.