Design-for-Manufacturability (DFM) Frameworks
for Electronics Product Realization
Bajaj, M., Peak, R., Wilson, M., Kim, I., Thurman, T., Benda, M., Jothishankar, M.C., Ferreira, P., Stori J. (July 16-18, 2003)
Towards Next-Generation Design-for-Manufacturability (DFM) Frameworks for Electronics Product Realization.
Best Paper Award.
Session 210, IEMT, Semicon West 2003,
San Jose, California.
Simulation for Flexible Manufacturing (SFM), Design-for-Manufacturability (DFM), AP210, STEP, Standards-based Framework, Rule-based Expert System, Printed Circuit Board/Assembly (PCA, PCB)
In the fast paced competitive market of electronic
products, the time-to-market and cost hold the key to
economic survival. High manufacturability of electronic
product designs minimizes lead time and costs.
In cooperation with the
Simulation for Flexible Manufacturing (SFM) project
was initiated amongst Rockwell Collins (RCI), Georgia
Institute of Technology (GIT) and University of Illinois at
Urbana Champaign (UIUC) out of these needs and the
inability of conventional ECAD tools to capture some types
of manufacturability constraints.
This paper elucidates the process architecture of a pilot
implementation of a DFM
(specifically the SFM DFM Framework or SDF), which consists of
four key ingredients. The first ingredient is a Design Integrator
that acquires product design information from an ECAD tool
and in-house sources (each populating a subset of the
design) and consolidates them into a
STEP AP210 (ISO 10303-210)
model. The second ingredient is a Rule-based Expert System
(initiated at Boeing) that captures the manufacturability
constraints as DFM rules and evaluates printed circuit
assembly (PCA) designs against them. The third ingredient
is a Design View Generator that extracts design information
from the AP210 model (first ingredient) and library
database and derives a Kappa design model for the expert
system (second ingredient) to evaluate. The fourth
ingredient is the Results Viewer that helps the user browse
DFM analysis results and identify design improvement
This implementation of the SDF demonstrates the ability
to extract PCA design information and build a higher fidelity
standards-based design model. Additionally, it also shows the
capability of Rule-based Expert Systems to emulate
manufacturability checks on product (PCAs in this case) designs
as well as increase analysis coverage and reduce human
checking time via automation.
See Also ...
Project web page