Leveraging downstream data in the footwear/apparel industry

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2007.

Bibliographic Details
Main Authors: Axline, Jeffrey Edward, Lebl, Brian Joseph
Other Authors: Lawrence Lapide.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2008
Subjects:
Online Access:http://hdl.handle.net/1721.1/40098
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author Axline, Jeffrey Edward
Lebl, Brian Joseph
author2 Lawrence Lapide.
author_facet Lawrence Lapide.
Axline, Jeffrey Edward
Lebl, Brian Joseph
author_sort Axline, Jeffrey Edward
collection MIT
description Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2007.
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spelling mit-1721.1/400982019-04-11T13:26:11Z Leveraging downstream data in the footwear/apparel industry Axline, Jeffrey Edward Lebl, Brian Joseph Lawrence Lapide. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division. Engineering Systems Division. Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2007. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. "June 2007." Includes bibliographical references (leaf 65). Retailers collect information regarding consumer purchases on a transactional basis. This data is not completely being leveraged by manufacturers in the footwear and apparel industry to increase on-shelf availability. However, certain apparel and consumer products companies have developed best-in-class methods for collecting and utilizing data to enhance supply chain visibility and to drive increased sales. A description of these best-in-class practices is provided, strategies to use the data are presented, and the importance of collaboration among supply chain partners is discussed. Further, point of sale data from a footwear and apparel manufacturer is analyzed to illustrate how the data can be leveraged to predict subsequent season sales, to improve forecasting accuracy, and to allocate replenishment inventory more effectively. by Jeffrey Edward Axline [and] Brian Joseph Lebl. M.Eng.in Logistics 2008-02-04T16:04:44Z 2008-02-04T16:04:44Z 2007 Thesis http://hdl.handle.net/1721.1/40098 184987052 eng 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 65 leaves application/pdf Massachusetts Institute of Technology
spellingShingle Engineering Systems Division.
Axline, Jeffrey Edward
Lebl, Brian Joseph
Leveraging downstream data in the footwear/apparel industry
title Leveraging downstream data in the footwear/apparel industry
title_full Leveraging downstream data in the footwear/apparel industry
title_fullStr Leveraging downstream data in the footwear/apparel industry
title_full_unstemmed Leveraging downstream data in the footwear/apparel industry
title_short Leveraging downstream data in the footwear/apparel industry
title_sort leveraging downstream data in the footwear apparel industry
topic Engineering Systems Division.
url http://hdl.handle.net/1721.1/40098
work_keys_str_mv AT axlinejeffreyedward leveragingdownstreamdatainthefootwearapparelindustry
AT leblbrianjoseph leveragingdownstreamdatainthefootwearapparelindustry