2026-09-19T14:59:22Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/452312026-06-06T01:03:43Zcom_1721.1_7582com_1721.1_7581com_1721.1_101402col_1721.1_131023col_1721.1_101610
Lawrence Lapide.
Kou, Xihang
Massachusetts Institute of Technology. Engineering Systems Division.
Massachusetts Institute of Technology. Engineering Systems Division
2009-04-29T17:12:08Z
2009-04-29T17:12:08Z
2008
2008
http://hdl.handle.net/1721.1/45231
304398331
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008.
Includes bibliographical references (leaves 59-60).
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.
by Xihang Kou.
M.Eng. in Logistics
60 leaves
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Engineering Systems Division.
Vendor-managed Inventory forecast optimization and integration
VMI forecast optimization and integration
Thesis
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Publication
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