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Stanley B. Gershwin. Kim, Chiwon, 1978- Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering 2005-05-17T14:52:59Z 2005-05-17T14:52:59Z 2004 2004 http://hdl.handle.net/1721.1/16673 56813909 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004. Includes bibliographical references (p. 109-110). This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. This thesis studies material flow control policies for automobile manufacturing systems. Various control policies are implemented in simulations of manufacturing systems to test whether they increase the efficiencies of the systems in terms of specific performance measures of interest. Among the control policies, Control Point Policy (CPP) is deeply studied, because this policy is designed for controlling complex manufacturing system with multiple product types. First, fundamental research in CPP is presented to understand the effects of the parameters on single product type manufacturing systems. Then, multiple product type, assembly-disassembly systems are studied with various control policies, including hybrid policies. Finally, a real automobile manufacturing system case study is presented, and various control policies are experimented on in the simulation model. Because the evaluations of performances are done by simulations, the speed of simulation becomes a very important problem. This thesis therefore presents a new approach to accelerating the speed of simulation. by Chiwon Kim. S.M. 110 p. 792144 bytes 775913 bytes application/pdf application/pdf eng Massachusetts Institute of Technology 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. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Mechanical Engineering. Comparison and optimization of control policies in automobile manufacturing systems by simulation Thesis application/pdf Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="9efdb3e8-76bd-4508-ab86-375fb19a7e70"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Comparison and optimization of control policies in automobile manufacturing systems by simulation</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2004</PublicationDate> <Authors> <Author> <DisplayName>Kim, Chiwon, 1978-</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Mechanical Engineering.</Keyword> <Abstract>This thesis studies material flow control policies for automobile manufacturing systems. Various control policies are implemented in simulations of manufacturing systems to test whether they increase the efficiencies of the systems in terms of specific performance measures of interest. Among the control policies, Control Point Policy (CPP) is deeply studied, because this policy is designed for controlling complex manufacturing system with multiple product types. First, fundamental research in CPP is presented to understand the effects of the parameters on single product type manufacturing systems. Then, multiple product type, assembly-disassembly systems are studied with various control policies, including hybrid policies. Finally, a real automobile manufacturing system case study is presented, and various control policies are experimented on in the simulation model. Because the evaluations of performances are done by simulations, the speed of simulation becomes a very important problem. This thesis therefore presents a new approach to accelerating the speed of simulation.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>