Reducing inventory by simplifying forecasting and using point of sale data
Name
62311669-MIT.pdf
Description
Full printable version
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6.24 MB
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Author(s)
Agarwal, Atul
Holt, Gregory Douglas Barton
Advisor(s)
Lawrence Lapide.
Date Issued
2005
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2005.
Includes bibliographical references (leaf 69).
Subjects
Engineering Systems Division.
MIT Department
Massachusetts Institute of Technology. Engineering Systems Division
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