2026-09-19T08:16:44Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/632312022-01-13T07:54:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stephen C. Graves.
He, Xi, M. Eng. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2011-06-06T17:44:07Z
2011-06-06T17:44:07Z
2010
2010
http://hdl.handle.net/1721.1/63231
726652421
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 59).
A tailored product grouping method using binary integer linear program for optimization is developed for two production lines in a food packaging manufacturer. A mathematical model is created to assign products to the two dedicated production lines with an objective to minimize the total setup times. The optimization model is subject to capacity constraints on each line. With the demand of each product entered, the model is able to generate an optimal production grouping and sequence as well as the minimal total setup time required. Compared with CAS current fixed grouping method, this linear program grouping method reduces total setup time generally by 17% and prevents both production lines from overloading. Also, this grouping method allows the Make-to-Order food packaging manufacturer to respond to changes in demand volume and product mix by changing the product grouping accordingly.
by He Xi.
M.Eng.
65 p.
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.
An optimization grouping method in a multi-line manufacturing system
Thesis
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<Abstract>A tailored product grouping method using binary integer linear program for optimization is developed for two production lines in a food packaging manufacturer. A mathematical model is created to assign products to the two dedicated production lines with an objective to minimize the total setup times. The optimization model is subject to capacity constraints on each line. With the demand of each product entered, the model is able to generate an optimal production grouping and sequence as well as the minimal total setup time required. Compared with CAS current fixed grouping method, this linear program grouping method reduces total setup time generally by 17% and prevents both production lines from overloading. Also, this grouping method allows the Make-to-Order food packaging manufacturer to respond to changes in demand volume and product mix by changing the product grouping accordingly.</Abstract>
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