2026-09-18T18:58:14Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1075092026-06-06T01:03:21Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Chris Caplice and Francisco Jauffred.
Rassey, Richard Koury
Zheng, Yong
Massachusetts Institute of Technology. Engineering Systems Division.
Massachusetts Institute of Technology. Supply Chain Management Program
2017-03-20T19:37:40Z
2017-03-20T19:37:40Z
2016
http://hdl.handle.net/1721.1/107509
962706943
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Supply Chain Management Program, 2016.
"June 2016." Cataloged from PDF version of thesis.
Includes bibliographical references (pages 63-64).
Retailers must coordinate inbound shipments from a large number of vendors. In order to manage capacity, retailers need to have a system to prioritize inbound loads with capacitated carriers. This practice creates a constraint when the number of loads exceeds the capacity of committed carriers due to seasonality and consumer shopping behaviors. A prioritization mechanism needed to be developed to support decision making for the selection of loads when capacity is constrained. This research applied the Analytic Hierarchy Process to define prioritization logic for each inbound load and solved a Knapsack model to optimize the assignment. This decision-making model allows the retailer to properly assign load priority based on company objectives. Further, opportunities were found to optimize load priority by up to 8.3 percent as compared to the current assignment. Similar retailers can leverage this research not only to prioritize inbound loads but also to prioritize other decisions such as which initiatives to pursue.
by Richard Koury Rassey and Yong Zheng.
M.Eng. in Logistics
64 pages
eng
Massachusetts Institute of Technology
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
http://dspace.mit.edu/handle/1721.1/7582
Supply Chain Management Program.
Engineering Systems Division.
Prioritizing inbound transportation
Thesis
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Publication
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<Abstract>Retailers must coordinate inbound shipments from a large number of vendors. In order to manage capacity, retailers need to have a system to prioritize inbound loads with capacitated carriers. This practice creates a constraint when the number of loads exceeds the capacity of committed carriers due to seasonality and consumer shopping behaviors. A prioritization mechanism needed to be developed to support decision making for the selection of loads when capacity is constrained. This research applied the Analytic Hierarchy Process to define prioritization logic for each inbound load and solved a Knapsack model to optimize the assignment. This decision-making model allows the retailer to properly assign load priority based on company objectives. Further, opportunities were found to optimize load priority by up to 8.3 percent as compared to the current assignment. Similar retailers can leverage this research not only to prioritize inbound loads but also to prioritize other decisions such as which initiatives to pursue.</Abstract>
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