{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/80508"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/80508","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Ontology Based Reasoning for the Design and Manufacturing Knowledge Management","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Mohd Ali, Munira; 0000-0003-0714-638X"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Rai, Rahul","Mechanical and Aerospace Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-10-24T20:44:37Z","date_published":"2019-10-24T20:44:37Z","updated_at":"2026-07-27T19:05:23Z","subjects":["engineering","Industrial engineering","Information science"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/80508","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Rai, Rahul","Mechanical and Aerospace Engineering"]},{"key":"dc:creator","label":"Author","values":["Mohd Ali, Munira; 0000-0003-0714-638X"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-10-24T20:44:37Z","2019","2019-08-08 13:00:22"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["engineering","Industrial engineering","Information science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/80508"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Manufacturing industries are evolving rapidly due to the competitive pressure among the manufacturer and diversity of customer demand. One of the challenges faced in the industry is to ensure the right products are delivered at the right price to the right person through a process of improved complexity. To deal with this challenge, effective communication systems between stakeholders is a must, especially in sharing information for further development. However, analyzing data becomes increasingly difficult and time-consuming as the manufacturer struggles to manage, update, and analyze product and consumer information. Information like supply, delivery, and customer support used to be challenging to be obtained or hard to work with due to the incompatibility of the system between different stakeholders. Therefore, with an effective knowledge management system for the manufacturing industries,data can be streamlined and collaboration-friendly, thus increasing accessibility for all stakeholders. The incorporation of the ontology in the knowledge management system can assist the way businesses to manage and share product information across the enterprise, increasing production and transparency, and decreasing cost and downtime. This dissertation presents the ontology-based approach in the design and manufacturing knowledge management system. A product life cycle ontology is adopted as the main framework for the approach. The approach aims to address the applicability of the PLC Ontology in capturing and integrating information between different activities of the PLC. The works are breakdown into three specific domains, which are the manufacturing process, engineering material, and design process. Case studies analyzing the approach for each domain are used to assess the capabilities of this approach."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Ontology Based Reasoning for the Design and Manufacturing Knowledge Management"]}]}],"canonical_facts":{"dc:contributor":["Rai, Rahul","Mechanical and Aerospace Engineering"],"dc:creator":["Mohd Ali, Munira; 0000-0003-0714-638X"],"dc:date":["2019-10-24T20:44:37Z","2019","2019-08-08 13:00:22"],"dc:description":["Ph.D.","Manufacturing industries are evolving rapidly due to the competitive pressure among the manufacturer and diversity of customer demand. One of the challenges faced in the industry is to ensure the right products are delivered at the right price to the right person through a process of improved complexity. To deal with this challenge, effective communication systems between stakeholders is a must, especially in sharing information for further development. However, analyzing data becomes increasingly difficult and time-consuming as the manufacturer struggles to manage, update, and analyze product and consumer information. Information like supply, delivery, and customer support used to be challenging to be obtained or hard to work with due to the incompatibility of the system between different stakeholders. Therefore, with an effective knowledge management system for the manufacturing industries,data can be streamlined and collaboration-friendly, thus increasing accessibility for all stakeholders. The incorporation of the ontology in the knowledge management system can assist the way businesses to manage and share product information across the enterprise, increasing production and transparency, and decreasing cost and downtime. This dissertation presents the ontology-based approach in the design and manufacturing knowledge management system. A product life cycle ontology is adopted as the main framework for the approach. The approach aims to address the applicability of the PLC Ontology in capturing and integrating information between different activities of the PLC. The works are breakdown into three specific domains, which are the manufacturing process, engineering material, and design process. Case studies analyzing the approach for each domain are used to assess the capabilities of this approach."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/80508"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["engineering","Industrial engineering","Information science"],"dc:title":["Ontology Based Reasoning for the Design and Manufacturing Knowledge Management"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:23Z"}