{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/155626"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/155626","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Measuring the product configuration complexity and cost for mass-customization of automobiles: A qualitative and quantitative study of the product variant complexity, its associated cost","abstract":"This thesis presents an integrated model for analyzing product configuration complexity and cost, aiming to provide a comprehensive framework for decision-making in product configuration management. The research begins with a literature review to identify relevant complexity metrics, narrowing down to two primary metrics: structural and organizational complexity. The selected metrics are integrated into a hybrid model that conceptualizes product configuration complexity as a function of these factors. The model incorporates mathematical formulations for assessing structural and organizational complexities, allowing for a nuanced understanding of the challenges inherent in product configuration. Furthermore, a cost model is developed to quantify the financial implications of product configuration decisions, considering factors such as transport, assembly, and quality control costs. The model is applied to hypothetical scenarios, demonstrating utility in informing decision-making processes within original equipment manufacturers (OEMs). Future work is proposed to enhance the model by incorporating risk and uncertainties, conducting cost-benefit analyses, and refining the algorithm for optimal performance. Overall, this thesis contributes to the advancement of product configuration management practices by providing a comprehensive framework for analyzing complexity and cost in product configuration.","abstract_html":"This thesis presents an integrated model for analyzing product configuration complexity and cost, aiming to provide a comprehensive framework for decision-making in product configuration management. The research begins with a literature review to identify relevant complexity metrics, narrowing down to two primary metrics: structural and organizational complexity. The selected metrics are integrated into a hybrid model that conceptualizes product configuration complexity as a function of these factors. The model incorporates mathematical formulations for assessing structural and organizational complexities, allowing for a nuanced understanding of the challenges inherent in product configuration. Furthermore, a cost model is developed to quantify the financial implications of product configuration decisions, considering factors such as transport, assembly, and quality control costs. The model is applied to hypothetical scenarios, demonstrating utility in informing decision-making processes within original equipment manufacturers (OEMs). Future work is proposed to enhance the model by incorporating risk and uncertainties, conducting cost-benefit analyses, and refining the algorithm for optimal performance. Overall, this thesis contributes to the advancement of product configuration management practices by providing a comprehensive framework for analyzing complexity and cost in product configuration.","abstract_has_math":false,"creators":["Vidhate, Chetan"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"System Design and Management Program.","school":null,"contributors":[],"advisors":["Rebentisch, Eric"],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-05","date_published":"2024-05","updated_at":"2026-07-22T22:21:43Z","subjects":[],"languages":[],"rights":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"],"rights_urls":["https://rightsstatements.org/page/InC-EDU/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/155626","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Rebentisch, Eric"]},{"key":"dc:contributor.department","label":"Department","values":["System Design and Management Program."]},{"key":"dc:creator","label":"Author","values":["Vidhate, Chetan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2024-07-10T20:20:18Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2024-07-10T20:20:18Z"]},{"key":"dc:date.issued","label":"Date","values":["2024-05"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master","Master of Science in Engineering and Management"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"]},{"key":"dc:rights.uri","label":"Rights URI","values":["https://rightsstatements.org/page/InC-EDU/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1721.1/155626"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis presents an integrated model for analyzing product configuration complexity and cost, aiming to provide a comprehensive framework for decision-making in product configuration management. 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Future work is proposed to enhance the model by incorporating risk and uncertainties, conducting cost-benefit analyses, and refining the algorithm for optimal performance. Overall, this thesis contributes to the advancement of product configuration management practices by providing a comprehensive framework for analyzing complexity and cost in product configuration."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["Measuring the product configuration complexity and cost for mass-customization of automobiles: A qualitative and quantitative study of the product variant complexity, its associated cost"]}]}],"canonical_facts":{"dc:contributor.advisor":["Rebentisch, Eric"],"dc:contributor.department":["System Design and Management Program."],"dc:creator":["Vidhate, Chetan"],"dc:date.accessioned":["2024-07-10T20:20:18Z"],"dc:date.available":["2024-07-10T20:20:18Z"],"dc:date.issued":["2024-05"],"dc:description.abstract":["This thesis presents an integrated model for analyzing product configuration complexity and cost, aiming to provide a comprehensive framework for decision-making in product configuration management. 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