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Vendor-managed Inventory forecast optimization and integration

Author(s)
Kou, Xihang
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Alternative title
VMI forecast optimization and integration
Other Contributors
Massachusetts Institute of Technology. Engineering Systems Division.
Advisor
Lawrence Lapide.
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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
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Abstract
In the retail industry, consumer package goods (CPG) manufacturers have been working with retailers to use Vendor-managed Inventory (VMI) to improve the overall supply chain inventory turns and finished product velocity. This thesis explores those opportunities where a consumer packaged goods company can benefit from using VMI information to improve forecasting. First, this thesis discusses a novel way to compare those forecasts at downstream and upstream demand planning levels. Forecast errors are calculated in relation to the forecast data aggregation levels. Second, a causal model is used to analyze the contributing factors of high demand planning forecast. Finally, recommendations are provided on how to use VMI information and thus incorporate VMI forecasts into the upstream supply chain planning process.
Description
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008.
 
Includes bibliographical references (leaves 59-60).
 
Date issued
2008
URI
http://hdl.handle.net/1721.1/45231
Department
Massachusetts Institute of Technology. Engineering Systems Division
Publisher
Massachusetts Institute of Technology
Keywords
Engineering Systems Division.

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