{"id":{"repo_id":"njit","oai_identifier":"oai:digitalcommons.njit.edu:theses-1376"},"canonical_url":"https://search.dev.ndltd.org/etd/njit/oai:digitalcommons.njit.edu:theses-1376","repository":{"repo_id":"njit","name":"NJIT","base_url":"https://digitalcommons.njit.edu/do/oai/"},"display":{"title":"Determining continual improvement process methods within quality management systems","abstract":"Institutionalized standards require organizations to actively define and implement quality management systems, which includes active participation in continual improvement efforts. Interpretations and practices vary on implementation methodology. Traditional views of quality do not integrate the technical disciplines into a defined science which would support a standardized approach for continual improvement implementation. In order to optimize improvement efforts, a conceptual hypothesis is proposed to integrate quality through combining and collaborating implementation efforts of engineering, control, assurance, improvement and costs. The purpose of this thesis is to establish a roadmap to assist in choosing effective quality improvement methodologies and toolsets that assist in enhancing customer satisfaction, which is desirable as part of a total quality management philosophy. Research is warranted to evaluate the bodies of knowledge into an extended science that establishes standardized practices in the area of quality improvement.","abstract_html":"Institutionalized standards require organizations to actively define and implement quality management systems, which includes active participation in continual improvement efforts. Interpretations and practices vary on implementation methodology. Traditional views of quality do not integrate the technical disciplines into a defined science which would support a standardized approach for continual improvement implementation. In order to optimize improvement efforts, a conceptual hypothesis is proposed to integrate quality through combining and collaborating implementation efforts of engineering, control, assurance, improvement and costs. The purpose of this thesis is to establish a roadmap to assist in choosing effective quality improvement methodologies and toolsets that assist in enhancing customer satisfaction, which is desirable as part of a total quality management philosophy. Research is warranted to evaluate the bodies of knowledge into an extended science that establishes standardized practices in the area of quality improvement.","abstract_has_math":false,"creators":["Bové, Diane M."],"institution":null,"degree_name":"Master of Science in Engineering Management - (M.S.)","degree_level":null,"degree_discipline":"Industrial and Management Engineering","degree_department":null,"school":null,"contributors":["Paul G. Ranky","Athanassios K. Bladikas","Carl Wolf"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2007,"date_issued":"2007-01-31T08:00:00Z","date_published":"2007-01-31T08:00:00Z","updated_at":"2026-07-24T03:23:22Z","subjects":["Quality management","Business Administration, Management, and Operations","Operations Research, Systems Engineering and Industrial Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.njit.edu/theses/377","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Paul G. Ranky","Athanassios K. 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Interpretations and practices vary on implementation methodology. Traditional views of quality do not integrate the technical disciplines into a defined science which would support a standardized approach for continual improvement implementation. In order to optimize improvement efforts, a conceptual hypothesis is proposed to integrate quality through combining and collaborating implementation efforts of engineering, control, assurance, improvement and costs. The purpose of this thesis is to establish a roadmap to assist in choosing effective quality improvement methodologies and toolsets that assist in enhancing customer satisfaction, which is desirable as part of a total quality management philosophy. Research is warranted to evaluate the bodies of knowledge into an extended science that establishes standardized practices in the area of quality improvement."]},{"key":"dc:title","label":"Title","values":["Determining continual improvement process methods within quality management systems"]}]}],"canonical_facts":{"dc:contributor":["Paul G. Ranky","Athanassios K. Bladikas","Carl Wolf"],"dc:creator":["Bové, Diane M."],"dc:description.abstract":["Institutionalized standards require organizations to actively define and implement quality management systems, which includes active participation in continual improvement efforts. Interpretations and practices vary on implementation methodology. Traditional views of quality do not integrate the technical disciplines into a defined science which would support a standardized approach for continual improvement implementation. In order to optimize improvement efforts, a conceptual hypothesis is proposed to integrate quality through combining and collaborating implementation efforts of engineering, control, assurance, improvement and costs. The purpose of this thesis is to establish a roadmap to assist in choosing effective quality improvement methodologies and toolsets that assist in enhancing customer satisfaction, which is desirable as part of a total quality management philosophy. Research is warranted to evaluate the bodies of knowledge into an extended science that establishes standardized practices in the area of quality improvement."],"dc:identifier":["https://digitalcommons.njit.edu/theses/377"],"dc:subject":["Quality management","Business Administration, Management, and Operations","Operations Research, Systems Engineering and Industrial Engineering"],"dc:title":["Determining continual improvement process methods within quality management systems"],"dc:type":["Thesis"],"thesis:degree_discipline":["Industrial and Management Engineering"],"thesis:degree_name":["Master of Science in Engineering Management - (M.S.)"]},"updated_at":"2026-07-24T03:23:22Z"}