Abstract
This paper addresses the theory and tools that promote rapid product and process development of machined products. A foundation of this approach is the application of a new definition of manufacturing features called resource-based free-form features. Using free-form features we demonstrate how cost, time and quality predictions, based on available equipment, are computed. We also introduce the concept of intelligently clustering alternative features to achieve better process alternatives. The approach presented herein is appropriate throughout the product design life-cycle as an aid to faster product realization by evaluating the parochial manufacturability of a completed design. In particular, this approach will provide the design team with cost, time and quality predictions, based on available equipment, that can be used to guide the design process. It also provides the manufacturing team with an approach to evaluating producibility and generating a production plan for a product model using available equipment in terms of cost, time and quality.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 323-331 |
| Number of pages | 9 |
| Journal | Journal of Intelligent Manufacturing |
| Volume | 8 |
| Issue number | 4 |
| State | Published - 1997 |
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Keywords
- Feature extraction
- Manufacturability
- Manufacturing feature
- Statistical process control
ASJC Scopus subject areas
- Artificial Intelligence
- Industrial and Manufacturing Engineering
Cite this
Manufacturing evaluation using resource-based, template-free features. / Roberts, Chell; Hubele, Norma; Henderson, Mark; Stage, Roger; Perez, Jose.
In: Journal of Intelligent Manufacturing, Vol. 8, No. 4, 1997, p. 323-331.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Manufacturing evaluation using resource-based, template-free features
AU - Roberts, Chell
AU - Hubele, Norma
AU - Henderson, Mark
AU - Stage, Roger
AU - Perez, Jose
PY - 1997
Y1 - 1997
N2 - This paper addresses the theory and tools that promote rapid product and process development of machined products. A foundation of this approach is the application of a new definition of manufacturing features called resource-based free-form features. Using free-form features we demonstrate how cost, time and quality predictions, based on available equipment, are computed. We also introduce the concept of intelligently clustering alternative features to achieve better process alternatives. The approach presented herein is appropriate throughout the product design life-cycle as an aid to faster product realization by evaluating the parochial manufacturability of a completed design. In particular, this approach will provide the design team with cost, time and quality predictions, based on available equipment, that can be used to guide the design process. It also provides the manufacturing team with an approach to evaluating producibility and generating a production plan for a product model using available equipment in terms of cost, time and quality.
AB - This paper addresses the theory and tools that promote rapid product and process development of machined products. A foundation of this approach is the application of a new definition of manufacturing features called resource-based free-form features. Using free-form features we demonstrate how cost, time and quality predictions, based on available equipment, are computed. We also introduce the concept of intelligently clustering alternative features to achieve better process alternatives. The approach presented herein is appropriate throughout the product design life-cycle as an aid to faster product realization by evaluating the parochial manufacturability of a completed design. In particular, this approach will provide the design team with cost, time and quality predictions, based on available equipment, that can be used to guide the design process. It also provides the manufacturing team with an approach to evaluating producibility and generating a production plan for a product model using available equipment in terms of cost, time and quality.
KW - Feature extraction
KW - Manufacturability
KW - Manufacturing feature
KW - Statistical process control
UR - http://www.scopus.com/inward/record.url?scp=0031199587&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0031199587&partnerID=8YFLogxK
M3 - Article
VL - 8
SP - 323
EP - 331
JO - Journal of Intelligent Manufacturing
JF - Journal of Intelligent Manufacturing
SN - 0956-5515
IS - 4
ER -