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8.1.1 Get Smart
Author(s) -
Hamman Christopher,
Mackertich Neal
Publication year - 2007
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2007.tb02945.x
Subject(s) - reuse , leverage (statistics) , documentation , computer science , process management , build to order , new product development , product lifecycle , best practice , product (mathematics) , systems engineering , knowledge management , risk analysis (engineering) , engineering management , business , engineering , production (economics) , marketing , geometry , mathematics , management , machine learning , economics , macroeconomics , programming language , waste management
It is becoming evident that in order to effectively compete in an increasingly challenging global marketplace, organizations are going to need to both extend and leverage their established Systems Engineering principles and practices across the entire enterprise. Early returns from an emerging Systems Engineering best practice, Critical Parameter Management, has proven itself highly effective in this regard. Critical Parameter Management is a set of tools, enablers, and best practices for managing, analyzing, and reporting technical product performance by unifying and integrating systems, engineering design, and manufacturing activities. Specifically, the use of a Critical Parameter Management has enabled Enterprise Systems intelligence and decision‐making through: real‐time, sensitivity analyses at the system, subsystem and component levels; efficiently shared technical product documentation and analyses; performance design margins that are statistically managed over the System product lifecycle for their customer and business benefit; and the capturing and leveraging of invested intellectual capital for future business reuse.