loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
International Test Conference 2003 (ITC'03)
Optimization of Test/Diagnosis/Rework Location(s) and Characteristics in Electronic Systems Assembly Using Real-Coded Genetic Algorithms
Charlotte, NC, USA
September 30-October 02
ISBN: 0-7803-8107-6
Zhen Shi, University of Maryland
Peter Sandborn, University of Maryland
This paper presents a framework for optimizing the location(s) and characteristics (fault coverage/test cost, rework success rate/rework cost) of Test/Diagnosis/Rework (TDR) operations in the assembly process for electronic systems. A new search algorithm called Waiting Sequence Search (WSS) is applied to traverse a general process flow in order to perform the cumulative calculation of a yielded cost objective function. Real-Coded Genetic Algorithms (RCGAs) are used to perform a multi-variable optimization that minimizes yielded cost. Several simple cases are analyzed for validation and a general complex process flow is used to demonstrate the applicability of the algorithm.
Citation:
Zhen Shi, Peter Sandborn, "Optimization of Test/Diagnosis/Rework Location(s) and Characteristics in Electronic Systems Assembly Using Real-Coded Genetic Algorithms," itc, pp.937, International Test Conference 2003 (ITC'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.