Axiomatic Design for Understanding Manufacturing Engineering as a Science
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Brown, C. A. | - |
| dc.date.accessioned | 2011-05-18T02:40:47Z | - |
| dc.date.available | 2011-05-18T02:40:47Z | - |
| dc.date.issued | 2011 | - |
| dc.identifier.citation | 21st CIRP Design Conference | en |
| dc.identifier.uri | http://hdl.handle.net/10203/23710 | - |
| dc.description.abstract | The objective of this work is to advance the understanding of manufacturing engineering as a scientific discipline in the context of axiomatic design. Scientific disciplines have a few, simple self consistent rules that can be applied to a wide range of problems. Manufacturing engineering includes a wide range of processes and systems without a clear unifying foundation. Two top FRs for the design of any manufacturing process or system are proposed: maximize value added, then minimize costs. The similarities with value engineering are acknowledged. The application of maximize and minimize FRs are discussed in process, business, and societal contexts. | en |
| dc.language.iso | en_US | en |
| dc.publisher | CIRP | en |
| dc.subject | Axiomatic Design | en |
| dc.subject | Manufacturing Engineering | en |
| dc.subject | Manufacturing Science | en |
| dc.title | Axiomatic Design for Understanding Manufacturing Engineering as a Science | en |
| dc.type | Article | en |
- Appears in Collection
- Proceedings of the 21st CIRP Design Conference
- Files in This Item
- -CIRP-Design-2011-Paper25-Brown.pdf(91.1 kB)Download
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.