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Communications in Statistics - Theory and Methods Volume 25, 1996 - Issue 11
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Original Articles

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

Enrique Del Castillo Industrial Engineering, University of Texas at Arlington, Arlington, TX, 76019-0017
,
James M. Grayson School of Business Administration, Augusta College, Augusta, Georgia, 30904-2200
,
Douglas C. Montgomery Industrial and Management Systems Engineering Arizona State University, Arizona State University, Tempe, AZ, 85287-5906
&
George C. Runger College of Business and Management, University of Maryland, College Park, Maryland, 20742-1815
Pages 2723-2737 | Published online: 27 Jun 2007
 
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Abstract

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.

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