2026-09-19T11:44:07Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/461602022-01-13T07:54:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stanley B. Gershwin.
Ng, Sing Hng
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2009-06-30T17:32:31Z
2009-06-30T17:32:31Z
2008
2008
http://hdl.handle.net/1721.1/46160
399648635
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
Includes bibliographical references (leaf 46).
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.
by Sing Hng Ng.
M.Eng.
51 leaves
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Multiple-part-type production scheduling for high volume manufacturing (token-based approach)
Thesis
application/pdf
Publication
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