2026-09-20T03:28:55Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/333102026-06-06T01:03:56Zcom_1721.1_7582com_1721.1_7581com_1721.1_101402col_1721.1_131023col_1721.1_101610
Lawrence Lapide.
Agarwal, Atul
Holt, Gregory Douglas Barton
Massachusetts Institute of Technology. Engineering Systems Division.
Massachusetts Institute of Technology. Engineering Systems Division
2006-07-13T15:14:20Z
2006-07-13T15:14:20Z
2005
2005
http://hdl.handle.net/1721.1/33310
62311669
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2005.
Includes bibliographical references (leaf 69).
This thesis assesses the value to vendors of using point of sale data to predict what retailers will order from them. In particular, we look at how The Gillette Company can use point of sale data generated by two of their customers, (Wal-Mart and Target), to predict the orders of all of Gillette's customers combined. The thesis also examines the impact on forecasts of shortening and simplifying the demand planning process. By improving the forecast of orders from their customers, vendors like Gillette can reduce safety stock inventory which is held as protection against unpredictable demand.
by Atul Agarwal [and] Gregory Douglas Barton Holt.
M.Eng. in Logistics
78 leaves
3878982 bytes
3882183 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Engineering Systems Division.
Reducing inventory by simplifying forecasting and using point of sale data
Thesis
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