A review of statistical process control techniques for short run manufacturing systems

Enrique Del Castillo, James M. Grayson, Douglas Montgomery, George Runger

Research output: Contribution to journalArticle

35 Scopus citations


Because manufacturing lot sizes continue to shrink, statistical process control methods for short production runs are increasingly important. We review and comment on the assumptions, advantages and disadvantages of alternatives. Traditional methods well as more recent developments are described and contrasted.

Original languageEnglish (US)
Pages (from-to)2723-2737
Number of pages15
JournalCommunications in Statistics - Theory and Methods
Issue number11
StatePublished - Dec 1 1996



  • Average run length
  • Control charts
  • Just-in-time
  • Quality control

ASJC Scopus subject areas

  • Statistics and Probability

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