2026-09-19T01:18:10Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1112652022-01-27T21:09:16Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stephen Graves and Stanley B. Gershwin.
Forthuber, Russell G
Leaders for Global Operations Program.
Leaders for Global Operations Program at MIT
Massachusetts Institute of Technology. Department of Mechanical Engineering
Sloan School of Management
2017-09-15T14:21:58Z
2017-09-15T14:21:58Z
2017
2017
http://hdl.handle.net/1721.1/111265
1003322000
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017.
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2017.
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 (page 67).
Large, multi-national retailers have massive, worldwide supply chain networks which move product from a supplier to the end consumer. During the product's transit from a factory to a regional distribution center, customers may change or cancel their order, or the planned arrival date of the product at the distribution center may change. These products are packed in containers and arrive at the distribution center daily. Each day, humans may make decisions of which containers will be received at a distribution center and there are opportunity costs associated with selecting the wrong container to receive, namely, that the distribution center will become filled with product which is not immediately needed to meet outbound demand. This thesis analyzes one method of receiving containers at a distribution center and the impacts it has on satisfying customers' orders. A model for a lean inventory management system and a container selection optimization model are described in it. Representative data is presented and the model is used to solve which containers should be received. Finally, the efficacy of the model and a comparison to a heuristic are discussed.
by Russell G. Forthuber.
M.B.A.
S.M.
67 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
Sloan School of Management.
Mechanical Engineering.
Leaders for Global Operations Program.
Inbound container queuing optimization model for distribution centers
Thesis
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Publication
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<Abstract>Large, multi-national retailers have massive, worldwide supply chain networks which move product from a supplier to the end consumer. During the product's transit from a factory to a regional distribution center, customers may change or cancel their order, or the planned arrival date of the product at the distribution center may change. These products are packed in containers and arrive at the distribution center daily. Each day, humans may make decisions of which containers will be received at a distribution center and there are opportunity costs associated with selecting the wrong container to receive, namely, that the distribution center will become filled with product which is not immediately needed to meet outbound demand. This thesis analyzes one method of receiving containers at a distribution center and the impacts it has on satisfying customers' orders. A model for a lean inventory management system and a container selection optimization model are described in it. Representative data is presented and the model is used to solve which containers should be received. Finally, the efficacy of the model and a comparison to a heuristic are discussed.</Abstract>
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