2026-09-19T23:00:11Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/333212026-06-06T01:03:35Zcom_1721.1_7582com_1721.1_7581com_1721.1_101402col_1721.1_131023col_1721.1_101610
Chris Caplice.
Kerslake, Christopher Wayne
Massachusetts Institute of Technology. Engineering Systems Division.
Massachusetts Institute of Technology. Engineering Systems Division
2006-07-13T15:15:10Z
2006-07-13T15:15:10Z
2005
2005
http://hdl.handle.net/1721.1/33321
62313581
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2005.
Includes bibliographical references (leaves 67-68).
Currently, no adequate method exists for determining how frequently a retail store in a supermarket chain should receive deliveries from its distribution center. Existing methods neglect many crucial constraints, such as the necessity for deliveries to fall on fixed days of the week, severely limited shelf space, and the inability for many stores to hold additional overstock product in a backroom. This paper addresses the problem by outlining a new method for determining the delivery frequency by developing a simulation model for the replenishment process of a supermarket chain. The model can also be used to provide insight into other aspects of the replenishment process, such as shelf space allocation, and reorder rules. Using this model, we were able to show that significant cost savings were available to the supermarket chain we worked with on the project by changing the delivery schedules for their stores.
by Christopher Wayne Kerslake.
M.Eng. in Logistics
68 leaves
3456586 bytes
3459571 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Engineering Systems Division.
A method for analyzing the delivery frequency from a distribution center to a retail grocery store
Thesis
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<Abstract>Currently, no adequate method exists for determining how frequently a retail store in a supermarket chain should receive deliveries from its distribution center. Existing methods neglect many crucial constraints, such as the necessity for deliveries to fall on fixed days of the week, severely limited shelf space, and the inability for many stores to hold additional overstock product in a backroom. This paper addresses the problem by outlining a new method for determining the delivery frequency by developing a simulation model for the replenishment process of a supermarket chain. The model can also be used to provide insight into other aspects of the replenishment process, such as shelf space allocation, and reorder rules. Using this model, we were able to show that significant cost savings were available to the supermarket chain we worked with on the project by changing the delivery schedules for their stores.</Abstract>
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