The system design process is intractable, but robust.
| dc.contributor.author | Chapman, William Luther. | |
| dc.creator | Chapman, William Luther. | en_US |
| dc.date.accessioned | 2011-10-31T18:14:38Z | |
| dc.date.available | 2011-10-31T18:14:38Z | |
| dc.date.issued | 1994 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10150/186625 | |
| dc.description.abstract | The system design process is intractable, but robust. The process is intractable because it is proven to be NP-complete. It is robust, because the tools used to do the system design are robust and allow for very good, but not optimal, solutions. The system design process is proven to be NP-complete by reduction of the Knapsack problem. The solutions used to solve the NP-complete problem called the Traveling Salesman Problem, will be examined with respect to how real designs are done. The design methodology is analyzed by a series of seventeen actual case studies. The tools evaluated are Quality Function Deployment and Design of Experiments. A sensitivity analysis of Quality Function Deployment is performed. It is proven to be insensitive to changes in weights and relationships. The needs and uses of modeling and prototypes in the system design process are examined. An actual prototype is analyzed using Design of Experiments. The Design of Experiments technique is shown to be very useful during the test and integration activity of the system design process. | |
| dc.language.iso | en | en_US |
| dc.publisher | The University of Arizona. | en_US |
| dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | en_US |
| dc.subject | Dissertations, Academic. | en_US |
| dc.subject | Electrical engineering. | en_US |
| dc.subject | Industrial engineering. | en_US |
| dc.title | The system design process is intractable, but robust. | en_US |
| dc.type | text | en_US |
| dc.type | Dissertation-Reproduction (electronic) | en_US |
| dc.contributor.chair | Bahill, A. Terry | en_US |
| dc.identifier.oclc | 722429283 | en_US |
| thesis.degree.grantor | University of Arizona | en_US |
| thesis.degree.level | doctoral | en_US |
| dc.contributor.committeemember | Wymore, A. Wayne | en_US |
| dc.contributor.committeemember | Duckstein, Lucien | en_US |
| dc.contributor.committeemember | Pierce, Edwin | en_US |
| dc.contributor.committeemember | Rozenblit, Jerzy | en_US |
| dc.identifier.proquest | 9424958 | en_US |
| thesis.degree.discipline | Systems and Industrial Engineering | en_US |
| thesis.degree.discipline | Graduate College | en_US |
| thesis.degree.name | Ph.D. | en_US |
| dc.description.note | This item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution images for any content in this item, please contact us at repository@u.library.arizona.edu. | |
| dc.description.admin-note | Original file replaced with corrected file October 2023. | |
| refterms.dateFOA | 2018-09-03T10:08:47Z | |
| html.description.abstract | The system design process is intractable, but robust. The process is intractable because it is proven to be NP-complete. It is robust, because the tools used to do the system design are robust and allow for very good, but not optimal, solutions. The system design process is proven to be NP-complete by reduction of the Knapsack problem. The solutions used to solve the NP-complete problem called the Traveling Salesman Problem, will be examined with respect to how real designs are done. The design methodology is analyzed by a series of seventeen actual case studies. The tools evaluated are Quality Function Deployment and Design of Experiments. A sensitivity analysis of Quality Function Deployment is performed. It is proven to be insensitive to changes in weights and relationships. The needs and uses of modeling and prototypes in the system design process are examined. An actual prototype is analyzed using Design of Experiments. The Design of Experiments technique is shown to be very useful during the test and integration activity of the system design process. |
