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

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Abstract/Contents

Abstract
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.

Description

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

Creators/Contributors

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

Subjects

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

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

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