{"id":{"repo_id":"ecu","oai_identifier":"oai:thescholarship.ecu.edu:10342/4405"},"canonical_url":"https://search.dev.ndltd.org/etd/ecu/oai:thescholarship.ecu.edu:10342/4405","repository":{"repo_id":"ecu","name":"East Carolina University","base_url":"https://thescholarship.ecu.edu/server/oai/request"},"display":{"title":"Economic Design of CUSUM Control Charts","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Croskery, Thomas"],"institution":"East Carolina University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Mathematics","school":null,"contributors":[],"advisors":["Carolan, Christopher (Christopher A.)"],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014","date_published":"2014","updated_at":"2026-07-24T02:13:41Z","subjects":["Mathematics","Statistics","Control charts","CUSUM","Economic design","Long run hourly cost","Markov model","Search algorithm"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10342/4405","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Carolan, Christopher (Christopher A.)"]},{"key":"dc:contributor.department","label":"Department","values":["Mathematics"]},{"key":"dc:creator","label":"Author","values":["Croskery, Thomas"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-06-15T15:30:02Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-06-15T15:30:02Z"]},{"key":"dc:date.issued","label":"Date","values":["2014"]},{"key":"dc:publisher","label":"Institution","values":["East Carolina University"]},{"key":"dc:type","label":"Dc Type","values":["Master's Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Mathematics","Statistics","Control charts","CUSUM","Economic design","Long run hourly cost","Markov model","Search algorithm"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10342/4405"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.A."]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["dissertations, academic"]},{"key":"dc:title","label":"Title","values":["Economic Design of CUSUM Control Charts"]}]}],"canonical_facts":{"dc:contributor.advisor":["Carolan, Christopher (Christopher A.)"],"dc:contributor.department":["Mathematics"],"dc:creator":["Croskery, Thomas"],"dc:date.accessioned":["2014-06-15T15:30:02Z"],"dc:date.available":["2014-06-15T15:30:02Z"],"dc:date.issued":["2014"],"dc:description.abstract":["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."],"dc:description.degree":["M.A."],"dc:format.medium":["dissertations, academic"],"dc:identifier.uri":["http://hdl.handle.net/10342/4405"],"dc:publisher":["East Carolina University"],"dc:subject":["Mathematics","Statistics","Control charts","CUSUM","Economic design","Long run hourly cost","Markov model","Search algorithm"],"dc:title":["Economic Design of CUSUM Control Charts"],"dc:type":["Master's Thesis"]},"updated_at":"2026-07-24T02:13:41Z"}