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Integrating a Model‐Based Systems Engineering and Model‐Based Product Support Approach for Affordable System Sustainment
Author(s) -
Kwon Steve,
Page Kimberly,
Weinstein Kevin
Publication year - 2018
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2018.00557.x
Subject(s) - systems engineering , computer science , product lifecycle , product (mathematics) , system lifecycle , process management , risk analysis (engineering) , decision support system , architecture , systems design , new product development , engineering management , engineering , business , geometry , mathematics , artificial intelligence , art , marketing , visual arts
Systems engineers and product support managers often approach building the “best” or “right” system from different perspectives. Systems engineers focus on technical solutions that meet system requirements and maximize capabilities, while product support managers focus on optimized sparing levels and reduced supply chain delays. These tendencies lead to design decisions that do not optimize system readiness over the system life cycle. As programs evolve to deliver systems in today's budget constrained environment, several are adopting model‐based engineering approaches. The emphasis in acquisition is often to capture system requirements and architecture definition through a model‐based systems engineering (MBSE) approach. There is a significant opportunity to integrate model‐based product support (MBPS) practices with MBSE through concept and development to enable a decision support capability that effects optimized sustainment costs and demonstrates impacts on system readiness in design trades.