Carolan, Christopher (Christopher A.)Croskery, Thomas2014-06-152014-06-152014http://hdl.handle.net/10342/4405In statistical process control, control charts are one tool for monitoring the control status of a process. One such type of chart is the cumulative sum (CUSUM) chart which has advantages over other styles of control chart. A study of the economic design of CUSUM control charts is undertaken via a comparative study of long-run hourly cost (LRHC) and a computational search algorithm is used to minimize LRHC for a CUSUM chart using nine parameters confined to their respective feasible parameter spaces as defined by the chart designer. Savings over similarly designed two stage Xbar charts are discovered and presented.  66 p.dissertations, academicMathematicsStatisticsControl chartsCUSUMEconomic designLong run hourly costMarkov modelSearch algorithmMathematical statistics--ResearchProcess control--Statistical methods--ResearchCUSUM techniqueMaster's Thesis