{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/122217"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/122217","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Integrated design and operational decision making under uncertainty for enhanced lifecycle performances of engineering systems","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-12-01","abstract_has_math":false,"creators":["Liu, Xinyang"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Industrial Engineering","degree_department":null,"school":null,"contributors":["Wang, Pingfeng","Kim, Harrison","Wang, Qiong","Shao, Chenhui"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-12","date_published":"2023-12","updated_at":"2026-07-22T22:25:00Z","subjects":["Decision Making Under Uncertainty","Operations And Maintenance","Product Design","Reliability","Sustainability","Stochastic Optimization"],"languages":["en","eng"],"rights":["Copyright 2023 Xinyang Liu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/122217","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Wang, Pingfeng","Kim, Harrison","Wang, Qiong","Shao, Chenhui"]},{"key":"dc:creator","label":"Author","values":["Liu, Xinyang"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-12","2023-11-21"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Industrial Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Decision Making Under Uncertainty","Operations And Maintenance","Product Design","Reliability","Sustainability","Stochastic Optimization"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Xinyang Liu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/122217"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-12-01","The student, Xinyang Liu, accepted the attached license on 2023-11-13 at 17:21.","The student, Xinyang Liu, submitted this Dissertation for approval on 2023-11-13 at 17:29.","This Dissertation was approved for publication on 2023-11-21 at 16:17.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19913 on 2024-03-01 at 13:48:06","With the development of condition monitoring systems and the computational efficiency of health prognosis algorithms, system conditions can be more accurately and efficiently assessed through the operating process. This promotes the adoption of condition-based maintenance and meanwhile brings challenges to evaluate and use the monitoring and prognosis information in operations and design decision-making. This thesis develops prognosis-informed decision-making models for system operations and establishes a framework to integrate operations decisions with design. The main contribution of this thesis is to provide methodologies to evaluate and apply the monitoring information in optimizing operations (e.g., maintenance, end-of-life options) and design (e.g., reliability, warranty service) decisions. To optimize operations decisions with prognosis results, we first develop a new asset management methodology where lifetime prognosis is integrated with parallel asset management to reduce the total lifecycle operating cost including asset purchase cost, operation and maintenance cost, inventory cost, and salvage revenue. We then focus on the maintenance process and establish models to evaluate and optimize the condition-based maintenance strategies for multi-component systems with multiple types of dependencies. To integrate operations decisions with design, we first construct a framework to evaluate the value of continuous monitoring systems and help make optimal decisions on monitoring in the design stage. Then, we integrate the operating stage decisions into the initial system design and jointly optimize reliability, warranty, price, and end-of-life options for product families."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Integrated design and operational decision making under uncertainty for enhanced lifecycle performances of engineering systems"]}]}],"canonical_facts":{"dc:contributor":["Wang, Pingfeng","Kim, Harrison","Wang, Qiong","Shao, Chenhui"],"dc:creator":["Liu, Xinyang"],"dc:date":["2023-12","2023-11-21"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-12-01","The student, Xinyang Liu, accepted the attached license on 2023-11-13 at 17:21.","The student, Xinyang Liu, submitted this Dissertation for approval on 2023-11-13 at 17:29.","This Dissertation was approved for publication on 2023-11-21 at 16:17.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19913 on 2024-03-01 at 13:48:06","With the development of condition monitoring systems and the computational efficiency of health prognosis algorithms, system conditions can be more accurately and efficiently assessed through the operating process. This promotes the adoption of condition-based maintenance and meanwhile brings challenges to evaluate and use the monitoring and prognosis information in operations and design decision-making. This thesis develops prognosis-informed decision-making models for system operations and establishes a framework to integrate operations decisions with design. The main contribution of this thesis is to provide methodologies to evaluate and apply the monitoring information in optimizing operations (e.g., maintenance, end-of-life options) and design (e.g., reliability, warranty service) decisions. To optimize operations decisions with prognosis results, we first develop a new asset management methodology where lifetime prognosis is integrated with parallel asset management to reduce the total lifecycle operating cost including asset purchase cost, operation and maintenance cost, inventory cost, and salvage revenue. We then focus on the maintenance process and establish models to evaluate and optimize the condition-based maintenance strategies for multi-component systems with multiple types of dependencies. To integrate operations decisions with design, we first construct a framework to evaluate the value of continuous monitoring systems and help make optimal decisions on monitoring in the design stage. Then, we integrate the operating stage decisions into the initial system design and jointly optimize reliability, warranty, price, and end-of-life options for product families."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/122217"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Xinyang Liu"],"dc:subject":["Decision Making Under Uncertainty","Operations And Maintenance","Product Design","Reliability","Sustainability","Stochastic Optimization"],"dc:title":["Integrated design and operational decision making under uncertainty for enhanced lifecycle performances of engineering systems"],"dc:type":["text"],"thesis:degree_discipline":["Industrial Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:00Z"}