{"id":{"repo_id":"nus","oai_identifier":"oai:scholarbank.nus.edu.sg:10635/15069"},"canonical_url":"https://search.dev.ndltd.org/etd/nus/oai:scholarbank.nus.edu.sg:10635/15069","repository":{"repo_id":"nus","name":"National University of Singapore","base_url":"https://scholarbank.nus.edu.sg/oai/request"},"display":{"title":"A framework of computer-aided short-run SPC planning","abstract":"The application of SPC can be divided into two phases: planning and implementation. For short-runs, the planning phase is the bottleneck, which entails the formation of part families and determines corresponding data collection requirements. To ensure the homogeneity of the part family members, statistical design of experiment and analysis of variance are applied. To simply the statistical analysis and reduce the experimental runs, extensive preliminary analyses based on the process factor properties and application are proposed to be applied first. The end milling process is used to illustrate the proposed method, and data collected from industry is used to demonstrate the statistical analysis. To improve the efficiency of SPC planning and the adaptation of computer-integrated manufacturing, a framework of computer-aided short-run SPC planning system using group technology classification and coding concept is proposed.","abstract_html":"The application of SPC can be divided into two phases: planning and implementation. For short-runs, the planning phase is the bottleneck, which entails the formation of part families and determines corresponding data collection requirements. To ensure the homogeneity of the part family members, statistical design of experiment and analysis of variance are applied. To simply the statistical analysis and reduce the experimental runs, extensive preliminary analyses based on the process factor properties and application are proposed to be applied first. The end milling process is used to illustrate the proposed method, and data collected from industry is used to demonstrate the statistical analysis. To improve the efficiency of SPC planning and the adaptation of computer-integrated manufacturing, a framework of computer-aided short-run SPC planning system using group technology classification and coding concept is proposed.","abstract_has_math":false,"creators":["ZHU YADA"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2006,"date_issued":"2006-02-14","date_published":"2006-02-14","updated_at":"2026-07-24T03:32:56Z","subjects":["Statistical process control, Small-batch manufacturing, Group technology, Part family formation, Classification and coding, Analysis of variance"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["ZHU YADA"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2006-02-14"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://scholarbank.nus.edu.sg/handle/10635/15069"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Statistical process control, Small-batch manufacturing, Group technology, Part family formation, Classification and coding, Analysis of variance"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://scholarbank.nus.edu.sg/bitstreams/7f57d1b4-2559-445e-ab61-c918b206514d/download"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The application of SPC can be divided into two phases: planning and implementation. For short-runs, the planning phase is the bottleneck, which entails the formation of part families and determines corresponding data collection requirements. To ensure the homogeneity of the part family members, statistical design of experiment and analysis of variance are applied. To simply the statistical analysis and reduce the experimental runs, extensive preliminary analyses based on the process factor properties and application are proposed to be applied first. The end milling process is used to illustrate the proposed method, and data collected from industry is used to demonstrate the statistical analysis. To improve the efficiency of SPC planning and the adaptation of computer-integrated manufacturing, a framework of computer-aided short-run SPC planning system using group technology classification and coding concept is proposed."]},{"key":"dc:format.checksum.md5","label":"Dc Format Checksum Md5","values":["a019479cf26f06f8b405bc4d4f9d5b2e","0a081d7abff0d34feb2244530ca58edd"]},{"key":"dc:title","label":"Title","values":["A framework of computer-aided short-run SPC planning"]}]}],"canonical_facts":{"dc:creator":["ZHU YADA"],"dc:date.issued":["2006-02-14"],"dc:description.abstract":["The application of SPC can be divided into two phases: planning and implementation. For short-runs, the planning phase is the bottleneck, which entails the formation of part families and determines corresponding data collection requirements. To ensure the homogeneity of the part family members, statistical design of experiment and analysis of variance are applied. To simply the statistical analysis and reduce the experimental runs, extensive preliminary analyses based on the process factor properties and application are proposed to be applied first. The end milling process is used to illustrate the proposed method, and data collected from industry is used to demonstrate the statistical analysis. To improve the efficiency of SPC planning and the adaptation of computer-integrated manufacturing, a framework of computer-aided short-run SPC planning system using group technology classification and coding concept is proposed."],"dc:format.checksum.md5":["a019479cf26f06f8b405bc4d4f9d5b2e","0a081d7abff0d34feb2244530ca58edd"],"dc:identifier.uri":["https://scholarbank.nus.edu.sg/bitstreams/7f57d1b4-2559-445e-ab61-c918b206514d/download"],"dc:relation.isreferencedby":["https://scholarbank.nus.edu.sg/handle/10635/15069"],"dc:subject":["Statistical process control, Small-batch manufacturing, Group technology, Part family formation, Classification and coding, Analysis of variance"],"dc:title":["A framework of computer-aided short-run SPC planning"],"dc:type":["Thesis"]},"updated_at":"2026-07-24T03:32:56Z"}