2026-09-20T03:06:37Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1131542026-06-06T00:49:21Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Julie A. Shah.
Kelessoglou, Michael Theologos, M. Eng. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2018-01-12T21:00:18Z
2018-01-12T21:00:18Z
2016
2016
http://hdl.handle.net/1721.1/113154
1018307188
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 105-107).
Equipment malfunction, logistics errors, and other disturbances in automobile factories can be very costly for manufacturers, as they often result in assembly line downtime until the problem is resolved. In this thesis, we examine a new concept for a Flexible Assembly Layout, enabled by new mobile robot technology, that aims to decrease the cost of such errors by removing the affected car from the line while the error is being fixed. In order to compare it to the layout commonly used today, we develop Discrete Event Simulations, based on data from real factories, for both. The simulations contain fast heuristic schedulers that adjust their generated schedules in real time in response to errors. Our comparison shows that, for a representative factory with representative error frequencies, the Flexible Layout is able to produce cars in 29.4% less time than the Conventional Layout, thanks to its robustness to errors.
by Michael Theologos Kelessoglou.
M.Eng.
107 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Simulation and comparative evaluation of flexible automotive assembly layouts
Thesis
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<Abstract>Equipment malfunction, logistics errors, and other disturbances in automobile factories can be very costly for manufacturers, as they often result in assembly line downtime until the problem is resolved. In this thesis, we examine a new concept for a Flexible Assembly Layout, enabled by new mobile robot technology, that aims to decrease the cost of such errors by removing the affected car from the line while the error is being fixed. In order to compare it to the layout commonly used today, we develop Discrete Event Simulations, based on data from real factories, for both. The simulations contain fast heuristic schedulers that adjust their generated schedules in real time in response to errors. Our comparison shows that, for a representative factory with representative error frequencies, the Flexible Layout is able to produce cars in 29.4% less time than the Conventional Layout, thanks to its robustness to errors.</Abstract>
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