2134/4216
Diana M. Segura-Velandia
Diana M.
Segura-Velandia
Paul Conway
Paul
Conway
Andrew West
Andrew
West
David Whalley
David
Whalley
Antony R. Wilson
Antony R.
Wilson
Lina A.M. Huertas-Quintero
Lina A.M.
Huertas-Quintero
Complex low volume electronics simulation tool to improve yield and reliability
Loughborough University
2009
untagged
Mechanical Engineering not elsewhere classified
2009-02-11 16:07:05
Conference contribution
https://repository.lboro.ac.uk/articles/conference_contribution/Complex_low_volume_electronics_simulation_tool_to_improve_yield_and_reliability/9559556
Assembly of Printed Circuit Boards (PCB) in low volumes
and a high-mix requires a level of manual intervention during
product manufacture, which leads to poor first time yield and
increased production costs. Failures at the component-level
and failures that stem from non-component causes (i.e.
system-level), such as defects in design and manufacturing,
can account for this poor yield. These factors have not been
incorporated in prediction models due to the fact that systemfailure
causes are not driven by well-characterised
deterministic processes. A simulation and analysis support
tool being developed that is based on a suite of interacting
modular components with well defined functionalities and
interfaces is presented in this paper. The CLOVES (Complex
Low Volume Electronics Simulation) tool enables the
characterisation and dynamic simulation of complete design;
manufacturing and business processes (throughout the entire
product life cycle) in terms of their propensity to create
defects that could cause product failure. Details of this system
and how it is being developed to fulfill changing business
needs is presented in this paper. Using historical data and
knowledge of previous printed circuit assemblies (PCA)
design specifications and manufacturing experiences, defect
and yield results can be effectively stored and re-applied for
future problem solving. For example, past PCA design
specifications can be used at design stage to amend designs or
define process options to optimise the product yield and
service reliability.