• DocumentCode
    1173831
  • Title

    Hierarchical Test Sequencing for Complex Systems

  • Author

    Boumen, R. ; Ruan, S. ; De Jong, I. S M ; van de Mortel-Fronczak, J.M. ; Rooda, J.E. ; Pattipati, K.R.

  • Author_Institution
    Dept. of Mech. Eng., Eindhoven Univ. of Technol., Eindhoven
  • Volume
    39
  • Issue
    3
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    640
  • Lastpage
    649
  • Abstract
    Testing complex systems, such as the ASML TWINSCAN lithographic machine, is expensive and time consuming. In a previous work, a test sequencing method to calculate time-optimal test sequences has been developed. Because complex systems are composed of several subsystems, which are again composed of several modules, there exists a need to hierarchically model test sequencing problems. Such a hierarchical test sequencing problem consists of a high-level model that describes a test sequencing problem at the system level, and one or more low-level models that describe the test sequencing problems at the subsystem or module level. The tests at the system level correspond to the solutions of low-level problems. This paper describes a hierarchical test sequencing model and proposes two algorithms to compute an optimal test sequence. The benefits of hierarchically modeling a problem are less computational effort and less modeling effort, because not all relations are needed. This is illustrated by a small example. The industrial relevance of this method is illustrated on a case study related to a manufacturing testing phase of a lithographic machine.
  • Keywords
    hierarchical systems; large-scale systems; testing; ASML TWINSCAN lithographic machine; complex systems; hierarchical test sequencing problem; high-level model; manufacturing testing phase; optimal test sequence; Hierarchical test sequencing; Tangram; manufacturing systems; semiconductor manufacturing industry; test strategy;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/TSMCA.2009.2014550
  • Filename
    4787094