{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/99810"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/99810","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Operationalizing demand forecasts in the warehouse","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_html":"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_has_math":false,"creators":["Li, Dan, Ph. D. University of Rochester","Kim, Kyung"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Engineering Systems Division.","school":null,"contributors":[],"advisors":["Bruce Arntzen."],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015","date_published":"2015","updated_at":"2026-07-22T22:22:28Z","subjects":["Engineering Systems Division."],"languages":["eng"],"rights":["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. 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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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. Eng. in Logistics"]},{"key":"dc:title","label":"Title","values":["Operationalizing demand forecasts in the warehouse"]}]}],"canonical_facts":{"dc:contributor.advisor":["Bruce Arntzen."],"dc:contributor.department":["Massachusetts Institute of Technology. Engineering Systems Division."],"dc:contributor.other":["Massachusetts Institute of Technology. Engineering Systems Division."],"dc:creator":["Li, Dan, Ph. D. University of Rochester","Kim, Kyung"],"dc:date.accessioned":["2015-11-09T19:50:18Z"],"dc:date.available":["2015-11-09T19:50:18Z"],"dc:date.issued":["2015"],"dc:description":["Thesis: M. 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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."],"dc:description.degree":["M. Eng. in Logistics"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/99810"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["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. 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