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A review of statistical process control techniques for short run manufacturing systems
Authors:Enrique Del Castillo  James M. Grayson  Douglas C. Montgomery  George C. Runger
Affiliation:1. Industrial Engineering , University of Texas at Arlington , Arlington, TX, 76019-0017;2. School of Business Administration , Augusta College , Augusta, Georgia, 30904-2200;3. Industrial and Management Systems Engineering Arizona State University , Arizona State University , Tempe, AZ, 85287-5906;4. College of Business and Management , University of Maryland , College Park, Maryland, 20742-1815
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.
Keywords:quality control  control charts  just-in-time  average run length
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