Abstract
Matrix methods such as the house of quality (HOQ) are useful as a first step in organizing the information relating product attributes to engineering design parameters. However, they frequently result in a large number of elements, making it very difficult to focus attention on elements that bring maximum benefits. This paper presents a method for reducing a large set of engineering parameters to a more efficient subset. This subset offers the greatest potential for cost control, and is where product development, experimental, and optimization efforts should be focused. An example of a new air pollution control system illustrates the method. The most efficient set of engineering parameters are identified, and are then defined as decision variables in a cost minimization model. The optimal design identified by the method significantly reduces cost.
Original language | English (US) |
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Pages | 697-706 |
Number of pages | 10 |
DOIs | |
State | Published - 2003 |
Event | 2003 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference - Chicago, IL, United States Duration: Sep 2 2003 → Sep 6 2003 |
Other
Other | 2003 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference |
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Country/Territory | United States |
City | Chicago, IL |
Period | 9/2/03 → 9/6/03 |
ASJC Scopus subject areas
- Modeling and Simulation
- Mechanical Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design