Cultivating the growth of complex engineered systems using emergent behaviours of engineering processes

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This dissertation develops a new type of model to analyze the design and construction of mega-systems, based on combining an organization network-model with an information-transfer link-model. Analysis of previous efforts within the Design Research and the System Engineering communities shows three major shortcomings: they assume efficient network connectivity, they assume static networks, and they assume loss-less data transfer. This dissertation overcomes these shortcomings by applying information theory, genetic computing, and chaos theory to product development within a large distributed organization. A new model type is developed and exercised to examine methods and techniques to improve mega-system design and construction, and then validated in a three-year $8B experiment implementing an enterprise product delivery process. Model development is based on data from US aerospace companies and programs spanning the last 30 years.


Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2014
Issuance monographic
Language English


Associated with Byler, Eric Alan
Associated with Stanford University, Department of Mechanical Engineering.
Primary advisor Leifer, Larry J
Thesis advisor Leifer, Larry J
Thesis advisor Cutkosky, Mark R
Thesis advisor Prinz, F. B
Advisor Cutkosky, Mark R
Advisor Prinz, F. B


Genre Theses

Bibliographic information

Statement of responsibility Eric Alan Byler.
Note Submitted to the Department of Mechanical Engineering.
Thesis Ph.D. Stanford University 2014
Location electronic resource

Access conditions

© 2014 by Eric Alan Byler
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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