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THE SYSTEMS ENGINEERING PROCESS AS A NEURAL NETWORK AND ITS IMPACT ON INTEGRATED PRODUCT DEVELOPMENT
Author(s) -
Armstrong James R.
Publication year - 1994
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1994.tb01774.x
Subject(s) - process (computing) , computer science , simple (philosophy) , product (mathematics) , new product development , artificial neural network , systems engineering , risk analysis (engineering) , artificial intelligence , engineering , business , mathematics , philosophy , geometry , epistemology , marketing , operating system
Various models have been proposed for the systems engineering process. Each one serves a particular purpose, yet none are accepted as definitive. The goal of a definitive yet simple model of the types proposed to date may be intrinsically unachievable. A neural network of interactive parts is proposed as a more accurate description of the process. This view explains the difficulty in developing a perfect and simple process model. Perhaps more importantly, it impacts the implementation of the process, particularly in an Integrated Product Development environment.
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