2026-09-19T14:05:55Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/998102026-06-06T01:03:27Zcom_1721.1_7582com_1721.1_7581com_1721.1_101402col_1721.1_131023col_1721.1_101610
Bruce Arntzen.
Li, Dan, Ph. D. University of Rochester
Kim, Kyung
Massachusetts Institute of Technology. Engineering Systems Division.
Massachusetts Institute of Technology. Engineering Systems Division
2015-11-09T19:50:18Z
2015-11-09T19:50:18Z
2015
2015
http://hdl.handle.net/1721.1/99810
927177010
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 48-49).
Demand planning affects the subsequent business activities including distribution center operational planning and management. Today's competitive environment requires distribution centers to rapidly respond to changes in the quantity and nature of demand. For the distribution center, accurate forecasts will help managers to accordingly plan operational activities. In the present thesis, we evaluate the plausibility of leveraging the SKU level forecast to predict equivalent operational activities in the warehouse. Through literature review, we identified the key drivers in distribution center operation and management. We further chose outbound shipment picking time as our measurement to perform the evaluation between demand forecast and actual warehouse shipments. The thesis concludes with the presentation of results of the evaluation discussions regarding the rolling horizon based forecast and the potential areas to improve the accuracy. This work will help warehouse managers to perform root cause analysis to examine the discrepancy between the units/labor forecast and actual units/labor. Our work will also help warehouses achieve greater operational efficiency.
by Dan Li and Kyung Kim.
M.Eng. in Logistics
49 pages
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.
Operationalizing demand forecasts in the warehouse
Thesis
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<Abstract>Demand planning affects the subsequent business activities including distribution center operational planning and management. Today's competitive environment requires distribution centers to rapidly respond to changes in the quantity and nature of demand. For the distribution center, accurate forecasts will help managers to accordingly plan operational activities. In the present thesis, we evaluate the plausibility of leveraging the SKU level forecast to predict equivalent operational activities in the warehouse. Through literature review, we identified the key drivers in distribution center operation and management. We further chose outbound shipment picking time as our measurement to perform the evaluation between demand forecast and actual warehouse shipments. The thesis concludes with the presentation of results of the evaluation discussions regarding the rolling horizon based forecast and the potential areas to improve the accuracy. This work will help warehouse managers to perform root cause analysis to examine the discrepancy between the units/labor forecast and actual units/labor. Our work will also help warehouses achieve greater operational efficiency.</Abstract>
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