{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/46160"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/46160","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Multiple-part-type production scheduling for high volume manufacturing (token-based approach)","abstract":"Multiple-part-type production scheduling is a common industrial problem with no generalized solution. In this thesis, a systematic approach is presented to aid in the mentioned production decision making in an actual factory. This strategy involves first generating production targets by optimization followed by a real-time scheduling (token-based) method --- the Control Point Policy. Based on the simulation results, the proposed strategy is able to schedule the production effectively. In addition, it was demonstrated that there was a tradeoff between the amount of inventory and the number of changeovers. Keywords: Multiple-part-type, production scheduling, optimization, token-based Disclaimer: The content of the thesis is modified to protect the real identity of the attachment company. Company name and confidential information are omitted.","abstract_html":"Multiple-part-type production scheduling is a common industrial problem with no generalized solution. In this thesis, a systematic approach is presented to aid in the mentioned production decision making in an actual factory. This strategy involves first generating production targets by optimization followed by a real-time scheduling (token-based) method --- the Control Point Policy. Based on the simulation results, the proposed strategy is able to schedule the production effectively. In addition, it was demonstrated that there was a tradeoff between the amount of inventory and the number of changeovers. Keywords: Multiple-part-type, production scheduling, optimization, token-based Disclaimer: The content of the thesis is modified to protect the real identity of the attachment company. Company name and confidential information are omitted.","abstract_has_math":false,"creators":["Ng, Sing Hng"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Mechanical Engineering.","school":null,"contributors":[],"advisors":["Stanley B. Gershwin."],"committee_chairs":[],"committee_members":[],"year":2008,"date_issued":"2008","date_published":"2008","updated_at":"2026-07-22T22:21:03Z","subjects":["Mechanical Engineering."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 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In this thesis, a systematic approach is presented to aid in the mentioned production decision making in an actual factory. This strategy involves first generating production targets by optimization followed by a real-time scheduling (token-based) method --- the Control Point Policy. Based on the simulation results, the proposed strategy is able to schedule the production effectively. In addition, it was demonstrated that there was a tradeoff between the amount of inventory and the number of changeovers. Keywords: Multiple-part-type, production scheduling, optimization, token-based Disclaimer: The content of the thesis is modified to protect the real identity of the attachment company. Company name and confidential information are omitted."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.Eng."]},{"key":"dc:title","label":"Title","values":["Multiple-part-type production scheduling for high volume manufacturing (token-based approach)"]}]}],"canonical_facts":{"dc:contributor.advisor":["Stanley B. Gershwin."],"dc:contributor.department":["Massachusetts Institute of Technology. Dept. of Mechanical Engineering."],"dc:contributor.other":["Massachusetts Institute of Technology. Dept. of Mechanical Engineering."],"dc:creator":["Ng, Sing Hng"],"dc:date.accessioned":["2009-06-30T17:32:31Z"],"dc:date.available":["2009-06-30T17:32:31Z"],"dc:date.issued":["2008"],"dc:description":["Thesis (M. 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