Economic Design of CUSUM Control Charts

In 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.

Department dc:contributor.department

Mathematics

Grantor dc:publisher

East Carolina University

Year dc:date.issued

2014

Author dc:creator

• Croskery, Thomas

Advisor dc:contributor.advisor

• Carolan, Christopher (Christopher A.)

• Mathematics
• Statistics
• Control charts
• CUSUM
• Economic design
• Long run hourly cost
• Markov model
• Search algorithm

Handle dc:identifier.uri

http://hdl.handle.net/10342/4405

OAI identifier oai:identifier

oai:thescholarship.ecu.edu:10342/4405