2026-09-20T07:15:41Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/611872026-06-06T01:03:40Zcom_1721.1_7582com_1721.1_7581com_1721.1_101402col_1721.1_131023col_1721.1_101610
Bruce Arntzen.
Sridurongkatum, Phol
Massachusetts Institute of Technology. Engineering Systems Division.
Massachusetts Institute of Technology. Engineering Systems Division
2011-02-23T14:26:25Z
2011-02-23T14:26:25Z
2010
2010
http://hdl.handle.net/1721.1/61187
700941856
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 69).
Redesigning the distribution networks for the company's various supply chains to lower the cost of delivering products to customers is crucial to company's competitiveness. Redesign includes changing warehouse locations for a specific product to be closer to customers and warehouse consolidation, which requires sharing warehouse space by more than one product type and closing some existing warehouses that are not cost efficient to operate. The objective of this project is to develop a decision tool to help an industrial conglomerate makes decisions related to the redesign its distribution networks. The data collection was done through collaboration with company's representatives. A Mixed Integer Linear Programming (MILP) model was developed as a tool to solve the optimization problem, which involves moving 9 product types from 21 manufacturing plants, through 22 warehouses, and to 26 destination zones,. The results from the model provides a useful information for the company about which warehouses should be retained, which warehouses should be closed, and what would be the new distribution networks, in order to minimize total distribution costs while still satisfy the customers' demand.
by Phol Sridurongkatum.
M.Eng. in Logistics
69 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
Engineering Systems Division.
Distribution networks consolidation and optimization for a large industrial conglomerate
Distribution network consolidation and optimization for a large industrial conglomerate
Thesis
application/pdf
Publication
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unknown
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<Abstract>Redesigning the distribution networks for the company's various supply chains to lower the cost of delivering products to customers is crucial to company's competitiveness. Redesign includes changing warehouse locations for a specific product to be closer to customers and warehouse consolidation, which requires sharing warehouse space by more than one product type and closing some existing warehouses that are not cost efficient to operate. The objective of this project is to develop a decision tool to help an industrial conglomerate makes decisions related to the redesign its distribution networks. The data collection was done through collaboration with company's representatives. A Mixed Integer Linear Programming (MILP) model was developed as a tool to solve the optimization problem, which involves moving 9 product types from 21 manufacturing plants, through 22 warehouses, and to 26 destination zones,. The results from the model provides a useful information for the company about which warehouses should be retained, which warehouses should be closed, and what would be the new distribution networks, in order to minimize total distribution costs while still satisfy the customers' demand.</Abstract>
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