Robust process control techniques

Type Research Project

Funding Bodies
  • Austrian Science Fund

Duration June 1, 1997 - March 31, 1998

  • Mathematical Methods in Statistics AE (Former organization)


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  • Hackl, Peter (Former researcher) Project Head

Abstract (German)

In material processing, constancy of process parameters is often of crucial importance. Corresponding process control procedures such as the Shewhart-, CUSUM-, and EWMA-chart are based on the assumption of normality and lack of serial correlation of the control variable. However, this assumption might be not realistic in practice, resulting in erroneous decisions. Our research shows how rank-based statistics can be used to design process control procedures that are robust against violations of the mentioned assumptions. Simulation results show the relative superiority of rank-based procedures relative to the corresponding observation-based techniques.



  • 5706 Economic statistics (Details)


  • process control